id	sid	tid	token	lemma	pos
cana-1232	1	1	communications	communication	NOUN
cana-1232	1	2	on	on	ADP
cana-1232	1	3	applied	apply	VERB
cana-1232	1	4	nonlinear	nonlinear	ADJ
cana-1232	1	5	analysis	analysis	NOUN
cana-1232	1	6	issn	issn	NOUN
cana-1232	1	7	:	:	PUNCT
cana-1232	1	8	1074	1074	NUM
cana-1232	1	9	-	-	PUNCT
cana-1232	1	10	133x	133x	NUM
cana-1232	1	11	vol	vol	NOUN
cana-1232	1	12	31	31	NUM
cana-1232	1	13	no	no	NOUN
cana-1232	1	14	.	.	PUNCT
cana-1232	2	1	6s	6s	NUM
cana-1232	2	2	(	(	PUNCT
cana-1232	2	3	2024	2024	NUM
cana-1232	2	4	)	)	PUNCT
cana-1232	2	5	401	401	NUM
cana-1232	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	2	7	fidelity	fidelity	NOUN
cana-1232	2	8	-	-	PUNCT
cana-1232	2	9	guided	guide	VERB
cana-1232	2	10	restoration	restoration	NOUN
cana-1232	2	11	:	:	PUNCT
cana-1232	2	12	balancing	balance	VERB
cana-1232	2	13	noise	noise	NOUN
cana-1232	2	14	reduction	reduction	NOUN
cana-1232	2	15	and	and	CCONJ
cana-1232	2	16	texture	texture	ADJ
cana-1232	2	17	preservation	preservation	NOUN
cana-1232	2	18	for	for	ADP
cana-1232	2	19	enhanced	enhanced	ADJ
cana-1232	2	20	image	image	NOUN
cana-1232	2	21	details	detail	NOUN
cana-1232	2	22	ms.v.kalpana1	ms.v.kalpana1	PROPN
cana-1232	2	23	,	,	PUNCT
cana-1232	2	24	ms.m.krishna	ms.m.krishna	NUM
cana-1232	2	25	rani2	rani2	NOUN
cana-1232	2	26	,	,	PUNCT
cana-1232	2	27	mr.s.muthukumar3	mr.s.muthukumar3	PROPN
cana-1232	2	28	,	,	PUNCT
cana-1232	2	29	dr	dr	PROPN
cana-1232	2	30	.	.	PROPN
cana-1232	2	31	rahul	rahul	PROPN
cana-1232	2	32	s	s	PART
cana-1232	2	33	g4	g4	NOUN
cana-1232	2	34	,	,	PUNCT
cana-1232	2	35	dr	dr	PROPN
cana-1232	2	36	.	.	PROPN
cana-1232	2	37	v	v	PROPN
cana-1232	2	38	viswanath	viswanath	PROPN
cana-1232	2	39	shenoi5	shenoi5	PROPN
cana-1232	2	40	,	,	PUNCT
cana-1232	2	41	mr.i.anantraj6	mr.i.anantraj6	PROPN
cana-1232	2	42	,	,	PUNCT
cana-1232	2	43	dr	dr	PROPN
cana-1232	2	44	.	.	PROPN
cana-1232	2	45	g.	g.	PROPN
cana-1232	2	46	ignisha	ignisha	PROPN
cana-1232	2	47	rajathi7	rajathi7	PROPN
cana-1232	2	48	,	,	PUNCT
cana-1232	2	49	dr	dr	PROPN
cana-1232	2	50	hasan	hasan	PROPN
cana-1232	2	51	hussain	hussain	PROPN
cana-1232	2	52	s8	s8	PROPN
cana-1232	2	53	,	,	PUNCT
cana-1232	2	54	a	a	DET
cana-1232	2	55	mary	mary	PROPN
cana-1232	2	56	ani	ani	X
cana-1232	2	57	reka9	reka9	PROPN
cana-1232	3	1	1assistant	1assistant	NUM
cana-1232	3	2	professor	professor	NOUN
cana-1232	3	3	,	,	PUNCT
cana-1232	3	4	k.ramakrishnan	k.ramakrishnan	ADP
cana-1232	3	5	college	college	NOUN
cana-1232	3	6	of	of	ADP
cana-1232	3	7	technology	technology	NOUN
cana-1232	3	8	,	,	PUNCT
cana-1232	3	9	samayapuram	samayapuram	PROPN
cana-1232	3	10	,	,	PUNCT
cana-1232	3	11	tiruchirappalli	tiruchirappalli	NOUN
cana-1232	3	12	trichy	trichy	PROPN
cana-1232	3	13	,	,	PUNCT
cana-1232	3	14	pin	pin	NOUN
cana-1232	3	15	:	:	PUNCT
cana-1232	3	16	621	621	NUM
cana-1232	3	17	112	112	NUM
cana-1232	3	18	,	,	PUNCT
cana-1232	3	19	tamil	tamil	PROPN
cana-1232	3	20	nadu	nadu	NOUN
cana-1232	3	21	,	,	PUNCT
cana-1232	3	22	india.kalpanav.cse@krct.ac.in	india.kalpanav.cse@krct.ac.in	PROPN
cana-1232	3	23	2assistant	2assistant	NUM
cana-1232	3	24	professor	professor	NOUN
cana-1232	3	25	,	,	PUNCT
cana-1232	3	26	srm	srm	PROPN
cana-1232	3	27	trp	trp	PROPN
cana-1232	3	28	engineering	engineering	PROPN
cana-1232	3	29	college	college	PROPN
cana-1232	3	30	,	,	PUNCT
cana-1232	3	31	irungalur	irungalur	NOUN
cana-1232	3	32	,	,	PUNCT
cana-1232	3	33	mannachanallur	mannachanallur	PROPN
cana-1232	3	34	,	,	PUNCT
cana-1232	3	35	trichy	trichy	PROPN
cana-1232	3	36	,	,	PUNCT
cana-1232	3	37	krishnarani.m@trp.srmtrichy.edu.in	krishnarani.m@trp.srmtrichy.edu.in	PROPN
cana-1232	3	38	3assoc	3assoc	NUM
cana-1232	3	39	professor	professor	NOUN
cana-1232	3	40	,	,	PUNCT
cana-1232	3	41	computer	computer	NOUN
cana-1232	3	42	science	science	NOUN
cana-1232	3	43	and	and	CCONJ
cana-1232	3	44	engineering	engineering	NOUN
cana-1232	3	45	,	,	PUNCT
cana-1232	3	46	sri	sri	PROPN
cana-1232	3	47	venkateswara	venkateswara	PROPN
cana-1232	3	48	college	college	PROPN
cana-1232	3	49	of	of	ADP
cana-1232	3	50	engineering	engineering	NOUN
cana-1232	3	51	and	and	CCONJ
cana-1232	3	52	technology	technology	NOUN
cana-1232	3	53	,	,	PUNCT
cana-1232	3	54	chittoor	chittoor	PROPN
cana-1232	3	55	andhra	andhra	PROPN
cana-1232	3	56	pradesh	pradesh	PROPN
cana-1232	3	57	.	.	PUNCT
cana-1232	4	1	muthuyes1@gmail.com	muthuyes1@gmail.com	X
cana-1232	5	1	4assistant	4assistant	NUM
cana-1232	5	2	professor	professor	NOUN
cana-1232	5	3	,	,	PUNCT
cana-1232	5	4	department	department	NOUN
cana-1232	5	5	of	of	ADP
cana-1232	5	6	electronics	electronics	PROPN
cana-1232	5	7	&	&	CCONJ
cana-1232	5	8	communication	communication	PROPN
cana-1232	5	9	engineering	engineering	NOUN
cana-1232	5	10	,	,	PUNCT
cana-1232	5	11	vel	vel	PROPN
cana-1232	5	12	tech	tech	PROPN
cana-1232	5	13	rangarajan	rangarajan	PROPN
cana-1232	5	14	dr	dr	PROPN
cana-1232	5	15	.	.	PROPN
cana-1232	5	16	sagunthala	sagunthala	PROPN
cana-1232	5	17	r&d	r&d	PROPN
cana-1232	5	18	institute	institute	PROPN
cana-1232	5	19	of	of	ADP
cana-1232	5	20	science	science	NOUN
cana-1232	5	21	and	and	CCONJ
cana-1232	5	22	technology	technology	NOUN
cana-1232	5	23	,	,	PUNCT
cana-1232	5	24	chennai	chennai	NOUN
cana-1232	5	25	,	,	PUNCT
cana-1232	5	26	email	email	NOUN
cana-1232	5	27	:	:	PUNCT
cana-1232	5	28	rahulgopi1993@yahoo.com	rahulgopi1993@yahoo.com	X
cana-1232	5	29	.	.	PUNCT
cana-1232	6	1	5professor	5professor	NUM
cana-1232	6	2	,	,	PUNCT
cana-1232	6	3	integrated	integrate	VERB
cana-1232	6	4	research	research	NOUN
cana-1232	6	5	and	and	CCONJ
cana-1232	6	6	discovery	discovery	NOUN
cana-1232	6	7	;	;	PUNCT
cana-1232	6	8	computer	computer	NOUN
cana-1232	6	9	science	science	NOUN
cana-1232	6	10	and	and	CCONJ
cana-1232	6	11	engineering	engineering	NOUN
cana-1232	6	12	,	,	PUNCT
cana-1232	6	13	koneru	koneru	PROPN
cana-1232	6	14	lakshmaiah	lakshmaiah	PROPN
cana-1232	6	15	education	education	PROPN
cana-1232	6	16	foundation	foundation	PROPN
cana-1232	6	17	,	,	PUNCT
cana-1232	6	18	green	green	ADJ
cana-1232	6	19	fields	field	NOUN
cana-1232	6	20	,	,	PUNCT
cana-1232	6	21	vaddeswaram	vaddeswaram	PROPN
cana-1232	6	22	,	,	PUNCT
cana-1232	6	23	ap	ap	PROPN
cana-1232	6	24	,	,	PUNCT
cana-1232	6	25	india	india	PROPN
cana-1232	6	26	.	.	PUNCT
cana-1232	7	1	shenoi.vis@gmail.com	shenoi.vis@gmail.com	X
cana-1232	8	1	6assistant	6assistant	NUM
cana-1232	8	2	professor	professor	NOUN
cana-1232	8	3	,	,	PUNCT
cana-1232	8	4	department	department	NOUN
cana-1232	8	5	of	of	ADP
cana-1232	8	6	cse(cyber	cse(cyber	PROPN
cana-1232	8	7	security	security	NOUN
cana-1232	8	8	)	)	PUNCT
cana-1232	8	9	,	,	PUNCT
cana-1232	8	10	sri	sri	PROPN
cana-1232	8	11	krishna	krishna	PROPN
cana-1232	8	12	college	college	PROPN
cana-1232	8	13	of	of	ADP
cana-1232	8	14	engineering	engineering	NOUN
cana-1232	8	15	and	and	CCONJ
cana-1232	8	16	technology	technology	NOUN
cana-1232	8	17	,	,	PUNCT
cana-1232	8	18	kuniyamuthur	kuniyamuthur	PROPN
cana-1232	8	19	,	,	PUNCT
cana-1232	8	20	coimbatore	coimbatore	PROPN
cana-1232	8	21	,	,	PUNCT
cana-1232	8	22	tamil	tamil	PROPN
cana-1232	8	23	nadu	nadu	PROPN
cana-1232	8	24	,	,	PUNCT
cana-1232	8	25	india	india	PROPN
cana-1232	8	26	.	.	PUNCT
cana-1232	9	1	rajanantcse@gmail.com	rajanantcse@gmail.com	X
cana-1232	10	1	7assistant	7assistant	PROPN
cana-1232	10	2	professor	professor	PROPN
cana-1232	10	3	senior	senior	ADJ
cana-1232	10	4	scale	scale	NOUN
cana-1232	10	5	,	,	PUNCT
cana-1232	10	6	department	department	NOUN
cana-1232	10	7	of	of	ADP
cana-1232	10	8	information	information	NOUN
cana-1232	10	9	technology	technology	NOUN
cana-1232	10	10	,	,	PUNCT
cana-1232	10	11	manipal	manipal	PROPN
cana-1232	10	12	institute	institute	PROPN
cana-1232	10	13	of	of	ADP
cana-1232	10	14	technology	technology	PROPN
cana-1232	10	15	bengaluru	bengaluru	PROPN
cana-1232	10	16	,	,	PUNCT
cana-1232	10	17	manipal	manipal	PROPN
cana-1232	10	18	academy	academy	PROPN
cana-1232	10	19	of	of	ADP
cana-1232	10	20	higher	high	ADJ
cana-1232	10	21	education	education	NOUN
cana-1232	10	22	,	,	PUNCT
cana-1232	10	23	manipal	manipal	PROPN
cana-1232	10	24	,	,	PUNCT
cana-1232	10	25	india	india	PROPN
cana-1232	10	26	.	.	PUNCT
cana-1232	11	1	mail	mail	NOUN
cana-1232	12	1	i	i	PROPN
cana-1232	12	2	d	d	PROPN
cana-1232	12	3	:	:	PUNCT
cana-1232	12	4	ignisha.rajathi@manipal.edu	ignisha.rajathi@manipal.edu	NUM
cana-1232	12	5	8professor	8professor	NUM
cana-1232	12	6	,	,	PUNCT
cana-1232	12	7	school	school	NOUN
cana-1232	12	8	of	of	ADP
cana-1232	12	9	cse	cse	PROPN
cana-1232	12	10	&	&	CCONJ
cana-1232	12	11	is	be	AUX
cana-1232	12	12	,	,	PUNCT
cana-1232	12	13	presidency	presidency	NOUN
cana-1232	12	14	university	university	NOUN
cana-1232	12	15	,	,	PUNCT
cana-1232	12	16	bengaluru	bengaluru	PROPN
cana-1232	12	17	,	,	PUNCT
cana-1232	12	18	karnataka	karnataka	PROPN
cana-1232	12	19	,	,	PUNCT
cana-1232	12	20	hasan.hussain@presidencyunivesity.in	hasan.hussain@presidencyunivesity.in	PROPN
cana-1232	12	21	9assistant	9assistant	NUM
cana-1232	12	22	professor	professor	NOUN
cana-1232	12	23	,	,	PUNCT
cana-1232	12	24	department	department	NOUN
cana-1232	12	25	of	of	ADP
cana-1232	12	26	cse(cyber	cse(cyber	PROPN
cana-1232	12	27	security	security	NOUN
cana-1232	12	28	)	)	PUNCT
cana-1232	12	29	,	,	PUNCT
cana-1232	12	30	sri	sri	PROPN
cana-1232	12	31	krishna	krishna	PROPN
cana-1232	12	32	college	college	PROPN
cana-1232	12	33	of	of	ADP
cana-1232	12	34	engineering	engineering	NOUN
cana-1232	12	35	and	and	CCONJ
cana-1232	12	36	technology	technology	NOUN
cana-1232	12	37	,	,	PUNCT
cana-1232	12	38	kuniyamuthur	kuniyamuthur	PROPN
cana-1232	12	39	,	,	PUNCT
cana-1232	12	40	coimbatore	coimbatore	PROPN
cana-1232	12	41	,	,	PUNCT
cana-1232	12	42	tamil	tamil	PROPN
cana-1232	12	43	nadu	nadu	PROPN
cana-1232	12	44	,	,	PUNCT
cana-1232	12	45	india	india	PROPN
cana-1232	12	46	.	.	PUNCT
cana-1232	13	1	anireka@gmail.com	anireka@gmail.com	PROPN
cana-1232	14	1	article	article	NOUN
cana-1232	14	2	history	history	NOUN
cana-1232	14	3	:	:	PUNCT
cana-1232	14	4	received	receive	VERB
cana-1232	14	5	:	:	PUNCT
cana-1232	14	6	22	22	NUM
cana-1232	14	7	-	-	SYM
cana-1232	14	8	06	06	NUM
cana-1232	14	9	-	-	PUNCT
cana-1232	14	10	2024	2024	NUM
cana-1232	14	11	revised	revise	VERB
cana-1232	14	12	:	:	PUNCT
cana-1232	14	13	25	25	NUM
cana-1232	14	14	-	-	PUNCT
cana-1232	14	15	07	07	NUM
cana-1232	14	16	-	-	PUNCT
cana-1232	14	17	2024	2024	NUM
cana-1232	14	18	accepted	accept	VERB
cana-1232	14	19	:	:	PUNCT
cana-1232	14	20	10	10	NUM
cana-1232	14	21	-	-	SYM
cana-1232	14	22	08	08	NUM
cana-1232	14	23	-	-	PUNCT
cana-1232	14	24	2024	2024	NUM
cana-1232	14	25	abstract	abstract	NOUN
cana-1232	14	26	:	:	PUNCT
cana-1232	14	27	image	image	NOUN
cana-1232	14	28	restoration	restoration	NOUN
cana-1232	14	29	algorithms	algorithm	NOUN
cana-1232	14	30	strive	strive	VERB
cana-1232	14	31	to	to	PART
cana-1232	14	32	reduce	reduce	VERB
cana-1232	14	33	noise	noise	NOUN
cana-1232	14	34	while	while	SCONJ
cana-1232	14	35	retaining	retain	VERB
cana-1232	14	36	crucial	crucial	ADJ
cana-1232	14	37	features	feature	NOUN
cana-1232	14	38	and	and	CCONJ
cana-1232	14	39	textures	texture	NOUN
cana-1232	14	40	.	.	PUNCT
cana-1232	15	1	integrating	integrate	VERB
cana-1232	15	2	the	the	DET
cana-1232	15	3	reduction	reduction	NOUN
cana-1232	15	4	of	of	ADP
cana-1232	15	5	noise	noise	NOUN
cana-1232	15	6	with	with	ADP
cana-1232	15	7	texture	texture	ADJ
cana-1232	15	8	retention	retention	NOUN
cana-1232	15	9	remains	remain	VERB
cana-1232	15	10	an	an	DET
cana-1232	15	11	ongoing	ongoing	ADJ
cana-1232	15	12	difficulty	difficulty	NOUN
cana-1232	15	13	image	image	NOUN
cana-1232	15	14	restoration	restoration	NOUN
cana-1232	15	15	.	.	PUNCT
cana-1232	16	1	in	in	ADP
cana-1232	16	2	this	this	DET
cana-1232	16	3	study	study	NOUN
cana-1232	16	4	,	,	PUNCT
cana-1232	16	5	we	we	PRON
cana-1232	16	6	introduce	introduce	VERB
cana-1232	16	7	fidelity	fidelity	NOUN
cana-1232	16	8	-	-	PUNCT
cana-1232	16	9	guided	guide	VERB
cana-1232	16	10	restoration	restoration	NOUN
cana-1232	16	11	(	(	PUNCT
cana-1232	16	12	fgr	fgr	PROPN
cana-1232	16	13	)	)	PUNCT
cana-1232	16	14	,	,	PUNCT
cana-1232	16	15	a	a	DET
cana-1232	16	16	novel	novel	ADJ
cana-1232	16	17	method	method	NOUN
cana-1232	16	18	that	that	PRON
cana-1232	16	19	incorporates	incorporate	VERB
cana-1232	16	20	fidelity	fidelity	NOUN
cana-1232	16	21	regularization	regularization	NOUN
cana-1232	16	22	to	to	PART
cana-1232	16	23	improve	improve	VERB
cana-1232	16	24	restoration	restoration	NOUN
cana-1232	16	25	quality	quality	NOUN
cana-1232	16	26	.	.	PUNCT
cana-1232	17	1	fgr	fgr	PROPN
cana-1232	17	2	utilizes	utilize	VERB
cana-1232	17	3	the	the	DET
cana-1232	17	4	fidelity	fidelity	NOUN
cana-1232	17	5	between	between	ADP
cana-1232	17	6	the	the	DET
cana-1232	17	7	degraded	degraded	ADJ
cana-1232	17	8	and	and	CCONJ
cana-1232	17	9	restored	restore	VERB
cana-1232	17	10	images	image	NOUN
cana-1232	17	11	to	to	PART
cana-1232	17	12	guide	guide	VERB
cana-1232	17	13	the	the	DET
cana-1232	17	14	restoration	restoration	NOUN
cana-1232	17	15	process	process	NOUN
cana-1232	17	16	.	.	PUNCT
cana-1232	18	1	this	this	DET
cana-1232	18	2	technique	technique	NOUN
cana-1232	18	3	encourages	encourage	VERB
cana-1232	18	4	the	the	DET
cana-1232	18	5	algorithm	algorithm	NOUN
cana-1232	18	6	to	to	PART
cana-1232	18	7	maintain	maintain	VERB
cana-1232	18	8	fine	fine	ADJ
cana-1232	18	9	details	detail	NOUN
cana-1232	18	10	and	and	CCONJ
cana-1232	18	11	textures	texture	NOUN
cana-1232	18	12	present	present	ADJ
cana-1232	18	13	in	in	ADP
cana-1232	18	14	the	the	DET
cana-1232	18	15	degraded	degraded	ADJ
cana-1232	18	16	input	input	NOUN
cana-1232	18	17	while	while	SCONJ
cana-1232	18	18	effectively	effectively	ADV
cana-1232	18	19	reducing	reduce	VERB
cana-1232	18	20	noise	noise	NOUN
cana-1232	18	21	.	.	PUNCT
cana-1232	19	1	implemented	implement	VERB
cana-1232	19	2	using	use	VERB
cana-1232	19	3	convolutional	convolutional	ADJ
cana-1232	19	4	neural	neural	ADJ
cana-1232	19	5	networks	network	NOUN
cana-1232	19	6	(	(	PUNCT
cana-1232	19	7	cnns	cnns	PROPN
cana-1232	19	8	)	)	PUNCT
cana-1232	19	9	,	,	PUNCT
cana-1232	19	10	fgr	fgr	PROPN
cana-1232	19	11	captures	capture	VERB
cana-1232	19	12	both	both	CCONJ
cana-1232	19	13	low	low	ADJ
cana-1232	19	14	-	-	PUNCT
cana-1232	19	15	level	level	NOUN
cana-1232	19	16	and	and	CCONJ
cana-1232	19	17	high	high	ADJ
cana-1232	19	18	-	-	PUNCT
cana-1232	19	19	level	level	NOUN
cana-1232	19	20	features	feature	VERB
cana-1232	19	21	essential	essential	ADJ
cana-1232	19	22	for	for	ADP
cana-1232	19	23	learning	learn	VERB
cana-1232	19	24	intricate	intricate	ADJ
cana-1232	19	25	patterns	pattern	NOUN
cana-1232	19	26	and	and	CCONJ
cana-1232	19	27	textures	texture	NOUN
cana-1232	19	28	.	.	PUNCT
cana-1232	20	1	additionally	additionally	ADV
cana-1232	20	2	,	,	PUNCT
cana-1232	20	3	perceptual	perceptual	ADJ
cana-1232	20	4	loss	loss	NOUN
cana-1232	20	5	functions	function	NOUN
cana-1232	20	6	are	be	AUX
cana-1232	20	7	employed	employ	VERB
cana-1232	20	8	during	during	ADP
cana-1232	20	9	training	training	NOUN
cana-1232	20	10	to	to	PART
cana-1232	20	11	further	far	ADV
cana-1232	20	12	enhance	enhance	VERB
cana-1232	20	13	the	the	DET
cana-1232	20	14	preservation	preservation	NOUN
cana-1232	20	15	of	of	ADP
cana-1232	20	16	higher	high	ADJ
cana-1232	20	17	-	-	PUNCT
cana-1232	20	18	level	level	NOUN
cana-1232	20	19	features	feature	NOUN
cana-1232	20	20	.	.	PUNCT
cana-1232	21	1	our	our	PRON
cana-1232	21	2	research	research	NOUN
cana-1232	21	3	findings	finding	NOUN
cana-1232	21	4	reveal	reveal	VERB
cana-1232	21	5	that	that	SCONJ
cana-1232	21	6	fgr	fgr	PROPN
cana-1232	21	7	exceeds	exceed	VERB
cana-1232	21	8	the	the	DET
cana-1232	21	9	present	present	ADJ
cana-1232	21	10	modern	modern	ADJ
cana-1232	21	11	methods	method	NOUN
cana-1232	21	12	in	in	ADP
cana-1232	21	13	terms	term	NOUN
cana-1232	21	14	of	of	ADP
cana-1232	21	15	detail	detail	NOUN
cana-1232	21	16	preservation	preservation	NOUN
cana-1232	21	17	and	and	CCONJ
cana-1232	21	18	texture	texture	NOUN
cana-1232	21	19	enhancement	enhancement	NOUN
cana-1232	21	20	.	.	PUNCT
cana-1232	22	1	comparative	comparative	ADJ
cana-1232	22	2	evaluations	evaluation	NOUN
cana-1232	22	3	on	on	ADP
cana-1232	22	4	benchmark	benchmark	ADJ
cana-1232	22	5	communications	communication	NOUN
cana-1232	22	6	on	on	ADP
cana-1232	22	7	applied	apply	VERB
cana-1232	22	8	nonlinear	nonlinear	ADJ
cana-1232	22	9	analysis	analysis	NOUN
cana-1232	22	10	issn	issn	NOUN
cana-1232	22	11	:	:	PUNCT
cana-1232	22	12	1074	1074	NUM
cana-1232	22	13	-	-	PUNCT
cana-1232	22	14	133x	133x	NUM
cana-1232	22	15	vol	vol	NOUN
cana-1232	22	16	31	31	NUM
cana-1232	22	17	no	no	NOUN
cana-1232	22	18	.	.	PUNCT
cana-1232	23	1	6s	6s	NUM
cana-1232	23	2	(	(	PUNCT
cana-1232	23	3	2024	2024	NUM
cana-1232	23	4	)	)	PUNCT
cana-1232	23	5	402	402	NUM
cana-1232	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	23	7	datasets	dataset	NOUN
cana-1232	23	8	confirm	confirm	VERB
cana-1232	23	9	that	that	SCONJ
cana-1232	23	10	fgr	fgr	PROPN
cana-1232	23	11	achieves	achieve	VERB
cana-1232	23	12	a	a	DET
cana-1232	23	13	superior	superior	ADJ
cana-1232	23	14	balance	balance	NOUN
cana-1232	23	15	between	between	ADP
cana-1232	23	16	noise	noise	NOUN
cana-1232	23	17	reduction	reduction	NOUN
cana-1232	23	18	and	and	CCONJ
cana-1232	23	19	texture	texture	NOUN
cana-1232	23	20	preservation	preservation	NOUN
cana-1232	23	21	.	.	PUNCT
cana-1232	24	1	ablation	ablation	NOUN
cana-1232	24	2	studies	study	NOUN
cana-1232	24	3	underscore	underscore	VERB
cana-1232	24	4	the	the	DET
cana-1232	24	5	critical	critical	ADJ
cana-1232	24	6	role	role	NOUN
cana-1232	24	7	of	of	ADP
cana-1232	24	8	fidelity	fidelity	NOUN
cana-1232	24	9	regularization	regularization	NOUN
cana-1232	24	10	and	and	CCONJ
cana-1232	24	11	perceptual	perceptual	ADJ
cana-1232	24	12	loss	loss	NOUN
cana-1232	24	13	functions	function	NOUN
cana-1232	24	14	in	in	ADP
cana-1232	24	15	the	the	DET
cana-1232	24	16	restoration	restoration	NOUN
cana-1232	24	17	process	process	NOUN
cana-1232	24	18	.	.	PUNCT
cana-1232	25	1	in	in	ADP
cana-1232	25	2	summary	summary	NOUN
cana-1232	25	3	,	,	PUNCT
cana-1232	25	4	fidelity	fidelity	NOUN
cana-1232	25	5	-	-	PUNCT
cana-1232	25	6	guided	guide	VERB
cana-1232	25	7	restoration	restoration	NOUN
cana-1232	25	8	offers	offer	VERB
cana-1232	25	9	a	a	DET
cana-1232	25	10	promising	promising	ADJ
cana-1232	25	11	solution	solution	NOUN
cana-1232	25	12	for	for	ADP
cana-1232	25	13	image	image	NOUN
cana-1232	25	14	restoration	restoration	NOUN
cana-1232	25	15	tasks	task	NOUN
cana-1232	25	16	that	that	PRON
cana-1232	25	17	require	require	VERB
cana-1232	25	18	both	both	DET
cana-1232	25	19	noise	noise	NOUN
cana-1232	25	20	reduction	reduction	NOUN
cana-1232	25	21	and	and	CCONJ
cana-1232	25	22	texture	texture	NOUN
cana-1232	25	23	preservation	preservation	NOUN
cana-1232	25	24	.	.	PUNCT
cana-1232	26	1	by	by	ADP
cana-1232	26	2	focusing	focus	VERB
cana-1232	26	3	on	on	ADP
cana-1232	26	4	fidelity	fidelity	NOUN
cana-1232	26	5	and	and	CCONJ
cana-1232	26	6	perceptual	perceptual	ADJ
cana-1232	26	7	features	feature	NOUN
cana-1232	26	8	,	,	PUNCT
cana-1232	26	9	fgr	fgr	PROPN
cana-1232	26	10	produces	produce	VERB
cana-1232	26	11	visually	visually	ADV
cana-1232	26	12	appealing	appealing	ADJ
cana-1232	26	13	and	and	CCONJ
cana-1232	26	14	high	high	ADJ
cana-1232	26	15	-	-	PUNCT
cana-1232	26	16	quality	quality	NOUN
cana-1232	26	17	restored	restore	VERB
cana-1232	26	18	images	image	NOUN
cana-1232	26	19	,	,	PUNCT
cana-1232	26	20	making	make	VERB
cana-1232	26	21	it	it	PRON
cana-1232	26	22	suitable	suitable	ADJ
cana-1232	26	23	for	for	ADP
cana-1232	26	24	a	a	DET
cana-1232	26	25	variety	variety	NOUN
cana-1232	26	26	of	of	ADP
cana-1232	26	27	image	image	NOUN
cana-1232	26	28	restoration	restoration	NOUN
cana-1232	26	29	challenges	challenge	NOUN
cana-1232	26	30	.	.	PUNCT
cana-1232	27	1	keywords	keyword	NOUN
cana-1232	27	2	:	:	PUNCT
cana-1232	27	3	image	image	NOUN
cana-1232	27	4	restoration	restoration	NOUN
cana-1232	27	5	,	,	PUNCT
cana-1232	27	6	noise	noise	NOUN
cana-1232	27	7	reduction	reduction	NOUN
cana-1232	27	8	,	,	PUNCT
cana-1232	27	9	texture	texture	ADJ
cana-1232	27	10	preservation	preservation	NOUN
cana-1232	27	11	,	,	PUNCT
cana-1232	27	12	fidelity	fidelity	NOUN
cana-1232	27	13	-	-	PUNCT
cana-1232	27	14	guided	guide	VERB
cana-1232	27	15	restoration	restoration	NOUN
cana-1232	27	16	,	,	PUNCT
cana-1232	27	17	convolutional	convolutional	ADJ
cana-1232	27	18	neural	neural	ADJ
cana-1232	27	19	networks	network	NOUN
cana-1232	27	20	,	,	PUNCT
cana-1232	27	21	perceptual	perceptual	ADJ
cana-1232	27	22	loss	loss	NOUN
cana-1232	27	23	functions	function	NOUN
cana-1232	27	24	.	.	PUNCT
cana-1232	28	1	1	1	X
cana-1232	28	2	.	.	X
cana-1232	28	3	introduction	introduction	NOUN
cana-1232	28	4	image	image	NOUN
cana-1232	28	5	restoration	restoration	NOUN
cana-1232	28	6	techniques	technique	NOUN
cana-1232	28	7	are	be	AUX
cana-1232	28	8	crucial	crucial	ADJ
cana-1232	28	9	for	for	ADP
cana-1232	28	10	improving	improve	VERB
cana-1232	28	11	digital	digital	ADJ
cana-1232	28	12	image	image	NOUN
cana-1232	28	13	quality	quality	NOUN
cana-1232	28	14	by	by	ADP
cana-1232	28	15	addressing	address	VERB
cana-1232	28	16	problems	problem	NOUN
cana-1232	28	17	such	such	ADJ
cana-1232	28	18	as	as	ADP
cana-1232	28	19	noise	noise	NOUN
cana-1232	28	20	and	and	CCONJ
cana-1232	28	21	blur	blur	NOUN
cana-1232	28	22	.	.	PUNCT
cana-1232	29	1	one	one	NUM
cana-1232	29	2	major	major	ADJ
cana-1232	29	3	challenge	challenge	NOUN
cana-1232	29	4	is	be	AUX
cana-1232	29	5	finding	find	VERB
cana-1232	29	6	a	a	DET
cana-1232	29	7	balance	balance	NOUN
cana-1232	29	8	between	between	ADP
cana-1232	29	9	reducing	reduce	VERB
cana-1232	29	10	noise	noise	NOUN
cana-1232	29	11	and	and	CCONJ
cana-1232	29	12	preserving	preserve	VERB
cana-1232	29	13	key	key	ADJ
cana-1232	29	14	image	image	NOUN
cana-1232	29	15	details	detail	NOUN
cana-1232	29	16	and	and	CCONJ
cana-1232	29	17	textures	texture	NOUN
cana-1232	29	18	.	.	PUNCT
cana-1232	30	1	excessive	excessive	ADJ
cana-1232	30	2	denoising	denoising	NOUN
cana-1232	30	3	can	can	AUX
cana-1232	30	4	lead	lead	VERB
cana-1232	30	5	to	to	ADP
cana-1232	30	6	the	the	DET
cana-1232	30	7	loss	loss	NOUN
cana-1232	30	8	of	of	ADP
cana-1232	30	9	fine	fine	ADJ
cana-1232	30	10	details	detail	NOUN
cana-1232	30	11	,	,	PUNCT
cana-1232	30	12	creating	create	VERB
cana-1232	30	13	visually	visually	ADV
cana-1232	30	14	unnatural	unnatural	ADJ
cana-1232	30	15	images	image	NOUN
cana-1232	30	16	.	.	PUNCT
cana-1232	31	1	to	to	PART
cana-1232	31	2	address	address	VERB
cana-1232	31	3	this	this	DET
cana-1232	31	4	challenge	challenge	NOUN
cana-1232	31	5	,	,	PUNCT
cana-1232	31	6	this	this	DET
cana-1232	31	7	study	study	NOUN
cana-1232	31	8	presents	present	VERB
cana-1232	31	9	fidelity	fidelity	NOUN
cana-1232	31	10	-	-	PUNCT
cana-1232	31	11	guided	guide	VERB
cana-1232	31	12	restoration	restoration	NOUN
cana-1232	31	13	(	(	PUNCT
cana-1232	31	14	fgr	fgr	PROPN
cana-1232	31	15	)	)	PUNCT
cana-1232	31	16	,	,	PUNCT
cana-1232	31	17	a	a	DET
cana-1232	31	18	new	new	ADJ
cana-1232	31	19	approach	approach	NOUN
cana-1232	31	20	focused	focus	VERB
cana-1232	31	21	on	on	ADP
cana-1232	31	22	balancing	balance	VERB
cana-1232	31	23	noise	noise	NOUN
cana-1232	31	24	reduction	reduction	NOUN
cana-1232	31	25	with	with	ADP
cana-1232	31	26	texture	texture	ADJ
cana-1232	31	27	preservation	preservation	NOUN
cana-1232	31	28	to	to	PART
cana-1232	31	29	enhance	enhance	VERB
cana-1232	31	30	image	image	NOUN
cana-1232	31	31	details	detail	NOUN
cana-1232	31	32	.	.	PUNCT
cana-1232	32	1	fgr	fgr	PROPN
cana-1232	32	2	employs	employ	VERB
cana-1232	32	3	fidelity	fidelity	NOUN
cana-1232	32	4	regularization	regularization	NOUN
cana-1232	32	5	,	,	PUNCT
cana-1232	32	6	this	this	PRON
cana-1232	32	7	promotes	promote	VERB
cana-1232	32	8	the	the	DET
cana-1232	32	9	reconstructed	reconstructed	ADJ
cana-1232	32	10	appearance	appearance	NOUN
cana-1232	32	11	to	to	PART
cana-1232	32	12	maintain	maintain	VERB
cana-1232	32	13	commonalities	commonality	NOUN
cana-1232	32	14	regarding	regard	VERB
cana-1232	32	15	the	the	DET
cana-1232	32	16	degraded	degraded	ADJ
cana-1232	32	17	input	input	NOUN
cana-1232	32	18	where	where	SCONJ
cana-1232	32	19	significant	significant	ADJ
cana-1232	32	20	details	detail	NOUN
cana-1232	32	21	and	and	CCONJ
cana-1232	32	22	textures	texture	NOUN
cana-1232	32	23	are	be	AUX
cana-1232	32	24	found	find	VERB
cana-1232	32	25	.	.	PUNCT
cana-1232	33	1	this	this	PRON
cana-1232	33	2	ensures	ensure	VERB
cana-1232	33	3	that	that	SCONJ
cana-1232	33	4	noise	noise	NOUN
cana-1232	33	5	reduction	reduction	NOUN
cana-1232	33	6	happens	happen	VERB
cana-1232	33	7	while	while	SCONJ
cana-1232	33	8	essential	essential	ADJ
cana-1232	33	9	image	image	NOUN
cana-1232	33	10	characteristics	characteristic	NOUN
cana-1232	33	11	are	be	AUX
cana-1232	33	12	preserved	preserve	VERB
cana-1232	33	13	.	.	PUNCT
cana-1232	34	1	our	our	PRON
cana-1232	34	2	research	research	NOUN
cana-1232	34	3	utilizes	utilize	VERB
cana-1232	34	4	a	a	DET
cana-1232	34	5	model	model	NOUN
cana-1232	34	6	for	for	ADP
cana-1232	34	7	deep	deep	ADJ
cana-1232	34	8	learning	learning	NOUN
cana-1232	34	9	using	use	VERB
cana-1232	34	10	convolution	convolution	NOUN
cana-1232	34	11	neural	neural	ADJ
cana-1232	34	12	networks	network	NOUN
cana-1232	34	13	(	(	PUNCT
cana-1232	34	14	cnns	cnns	PROPN
cana-1232	34	15	)	)	PUNCT
cana-1232	34	16	to	to	PART
cana-1232	34	17	implement	implement	VERB
cana-1232	34	18	fgr	fgr	PROPN
cana-1232	34	19	.	.	PUNCT
cana-1232	35	1	cnns	cnns	PROPN
cana-1232	35	2	are	be	AUX
cana-1232	35	3	effective	effective	ADJ
cana-1232	35	4	at	at	ADP
cana-1232	35	5	capturing	capture	VERB
cana-1232	35	6	both	both	CCONJ
cana-1232	35	7	high	high	ADJ
cana-1232	35	8	-	-	PUNCT
cana-1232	35	9	level	level	NOUN
cana-1232	35	10	features	feature	NOUN
cana-1232	35	11	and	and	CCONJ
cana-1232	35	12	low	low	ADJ
cana-1232	35	13	-	-	PUNCT
cana-1232	35	14	level	level	NOUN
cana-1232	35	15	details	detail	NOUN
cana-1232	35	16	,	,	PUNCT
cana-1232	35	17	such	such	ADJ
cana-1232	35	18	as	as	ADP
cana-1232	35	19	textures	texture	NOUN
cana-1232	35	20	,	,	PUNCT
cana-1232	35	21	allowing	allow	VERB
cana-1232	35	22	the	the	DET
cana-1232	35	23	model	model	NOUN
cana-1232	35	24	to	to	PART
cana-1232	35	25	learn	learn	VERB
cana-1232	35	26	complex	complex	ADJ
cana-1232	35	27	patterns	pattern	NOUN
cana-1232	35	28	in	in	ADP
cana-1232	35	29	images	image	NOUN
cana-1232	35	30	.	.	PUNCT
cana-1232	36	1	additionally	additionally	ADV
cana-1232	36	2	,	,	PUNCT
cana-1232	36	3	perceptual	perceptual	ADJ
cana-1232	36	4	loss	loss	NOUN
cana-1232	36	5	functions	function	NOUN
cana-1232	36	6	are	be	AUX
cana-1232	36	7	integrated	integrate	VERB
cana-1232	36	8	into	into	ADP
cana-1232	36	9	the	the	DET
cana-1232	36	10	training	training	NOUN
cana-1232	36	11	process	process	NOUN
cana-1232	36	12	to	to	PART
cana-1232	36	13	emphasize	emphasize	VERB
cana-1232	36	14	higher	high	ADJ
cana-1232	36	15	-	-	PUNCT
cana-1232	36	16	level	level	NOUN
cana-1232	36	17	.	.	PUNCT
cana-1232	37	1	features	feature	NOUN
cana-1232	37	2	like	like	ADP
cana-1232	37	3	texture	texture	NOUN
cana-1232	37	4	and	and	CCONJ
cana-1232	37	5	structure	structure	NOUN
cana-1232	37	6	,	,	PUNCT
cana-1232	37	7	guiding	guide	VERB
cana-1232	37	8	the	the	DET
cana-1232	37	9	restoration	restoration	NOUN
cana-1232	37	10	towards	towards	ADP
cana-1232	37	11	visually	visually	ADV
cana-1232	37	12	appealing	appealing	ADJ
cana-1232	37	13	results	result	NOUN
cana-1232	37	14	figure	figure	VERB
cana-1232	37	15	1restoration	1restoration	NUM
cana-1232	37	16	of	of	ADP
cana-1232	37	17	old	old	ADJ
cana-1232	37	18	photographs	photograph	NOUN
cana-1232	37	19	:	:	PUNCT
cana-1232	37	20	before	before	SCONJ
cana-1232	37	21	and	and	CCONJ
cana-1232	37	22	after	after	ADP
cana-1232	37	23	the	the	DET
cana-1232	37	24	primary	primary	ADJ
cana-1232	37	25	purpose	purpose	NOUN
cana-1232	37	26	of	of	ADP
cana-1232	37	27	the	the	DET
cana-1232	37	28	research	research	NOUN
cana-1232	37	29	is	be	AUX
cana-1232	37	30	to	to	PART
cana-1232	37	31	analyze	analyze	VERB
cana-1232	37	32	the	the	DET
cana-1232	37	33	effectiveness	effectiveness	NOUN
cana-1232	37	34	of	of	ADP
cana-1232	37	35	fidelity	fidelity	NOUN
cana-1232	37	36	-	-	PUNCT
cana-1232	37	37	guided	guide	VERB
cana-1232	37	38	.	.	PUNCT
cana-1232	38	1	restoration	restoration	NOUN
cana-1232	38	2	(	(	PUNCT
cana-1232	38	3	fgr	fgr	PROPN
cana-1232	38	4	)	)	PUNCT
cana-1232	38	5	in	in	ADP
cana-1232	38	6	achieving	achieve	VERB
cana-1232	38	7	a	a	DET
cana-1232	38	8	balance	balance	NOUN
cana-1232	38	9	between	between	ADP
cana-1232	38	10	noise	noise	NOUN
cana-1232	38	11	reduction	reduction	NOUN
cana-1232	38	12	and	and	CCONJ
cana-1232	38	13	texture	texture	ADJ
cana-1232	38	14	preservation	preservation	NOUN
cana-1232	38	15	to	to	PART
cana-1232	38	16	enhance	enhance	VERB
cana-1232	38	17	image	image	NOUN
cana-1232	38	18	details	detail	NOUN
cana-1232	38	19	.	.	PUNCT
cana-1232	39	1	extensive	extensive	ADJ
cana-1232	39	2	experiments	experiment	NOUN
cana-1232	39	3	conducted	conduct	VERB
cana-1232	39	4	on	on	ADP
cana-1232	39	5	benchmark	benchmark	NOUN
cana-1232	39	6	datasets	dataset	NOUN
cana-1232	39	7	compare	compare	VERB
cana-1232	39	8	fgr	fgr	PROPN
cana-1232	39	9	's	's	PART
cana-1232	39	10	performance	performance	NOUN
cana-1232	39	11	with	with	ADP
cana-1232	39	12	that	that	PRON
cana-1232	39	13	of	of	ADP
cana-1232	39	14	leading	lead	VERB
cana-1232	39	15	restoration	restoration	NOUN
cana-1232	39	16	techniques	technique	NOUN
cana-1232	39	17	.	.	PUNCT
cana-1232	40	1	ablation	ablation	NOUN
cana-1232	40	2	studies	study	NOUN
cana-1232	40	3	are	be	AUX
cana-1232	40	4	performed	perform	VERB
cana-1232	40	5	to	to	PART
cana-1232	40	6	evaluate	evaluate	VERB
cana-1232	40	7	the	the	DET
cana-1232	40	8	contributions	contribution	NOUN
cana-1232	40	9	of	of	ADP
cana-1232	40	10	fidelity	fidelity	NOUN
cana-1232	40	11	regularization	regularization	NOUN
cana-1232	40	12	and	and	CCONJ
cana-1232	40	13	perceptual	perceptual	ADJ
cana-1232	40	14	loss	loss	NOUN
cana-1232	40	15	functions	function	NOUN
cana-1232	40	16	,	,	PUNCT
cana-1232	40	17	shedding	shed	VERB
cana-1232	40	18	light	light	NOUN
cana-1232	40	19	on	on	ADP
cana-1232	40	20	their	their	PRON
cana-1232	40	21	impact	impact	NOUN
cana-1232	40	22	on	on	ADP
cana-1232	40	23	the	the	DET
cana-1232	40	24	restoration	restoration	NOUN
cana-1232	40	25	process	process	NOUN
cana-1232	40	26	.	.	PUNCT
cana-1232	41	1	communications	communication	NOUN
cana-1232	41	2	on	on	ADP
cana-1232	41	3	applied	apply	VERB
cana-1232	41	4	nonlinear	nonlinear	ADJ
cana-1232	41	5	analysis	analysis	NOUN
cana-1232	41	6	issn	issn	NOUN
cana-1232	41	7	:	:	PUNCT
cana-1232	41	8	1074	1074	NUM
cana-1232	41	9	-	-	PUNCT
cana-1232	41	10	133x	133x	NUM
cana-1232	41	11	vol	vol	NOUN
cana-1232	41	12	31	31	NUM
cana-1232	41	13	no	no	NOUN
cana-1232	41	14	.	.	PUNCT
cana-1232	42	1	6s	6s	NUM
cana-1232	42	2	(	(	PUNCT
cana-1232	42	3	2024	2024	NUM
cana-1232	42	4	)	)	PUNCT
cana-1232	42	5	403	403	NUM
cana-1232	42	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	42	7	in	in	ADP
cana-1232	42	8	summary	summary	NOUN
cana-1232	42	9	,	,	PUNCT
cana-1232	42	10	fidelity	fidelity	NOUN
cana-1232	42	11	-	-	PUNCT
cana-1232	42	12	guided	guide	VERB
cana-1232	42	13	restoration	restoration	NOUN
cana-1232	42	14	(	(	PUNCT
cana-1232	42	15	fgr	fgr	PROPN
cana-1232	42	16	)	)	PUNCT
cana-1232	42	17	tackles	tackle	VERB
cana-1232	42	18	the	the	DET
cana-1232	42	19	significant	significant	ADJ
cana-1232	42	20	challenge	challenge	NOUN
cana-1232	42	21	of	of	ADP
cana-1232	42	22	balancing	balance	VERB
cana-1232	42	23	noise	noise	NOUN
cana-1232	42	24	reduction	reduction	NOUN
cana-1232	42	25	with	with	ADP
cana-1232	42	26	texture	texture	ADJ
cana-1232	42	27	preservation	preservation	NOUN
cana-1232	42	28	in	in	ADP
cana-1232	42	29	image	image	NOUN
cana-1232	42	30	restoration	restoration	NOUN
cana-1232	42	31	.	.	PUNCT
cana-1232	43	1	by	by	ADP
cana-1232	43	2	employing	employ	VERB
cana-1232	43	3	fidelity	fidelity	NOUN
cana-1232	43	4	regularization	regularization	NOUN
cana-1232	43	5	and	and	CCONJ
cana-1232	43	6	deep	deep	ADJ
cana-1232	43	7	learning	learning	NOUN
cana-1232	43	8	methods	method	NOUN
cana-1232	43	9	,	,	PUNCT
cana-1232	43	10	fgr	fgr	PROPN
cana-1232	43	11	aims	aim	VERB
cana-1232	43	12	to	to	PART
cana-1232	43	13	excel	excel	VERB
cana-1232	43	14	in	in	ADP
cana-1232	43	15	image	image	NOUN
cana-1232	43	16	features	feature	NOUN
cana-1232	43	17	and	and	CCONJ
cana-1232	43	18	textures	texture	NOUN
cana-1232	43	19	are	be	AUX
cana-1232	43	20	preserved	preserve	VERB
cana-1232	43	21	,	,	PUNCT
cana-1232	43	22	resulting	result	VERB
cana-1232	43	23	in	in	ADP
cana-1232	43	24	high	high	ADJ
cana-1232	43	25	-	-	PUNCT
cana-1232	43	26	quality	quality	NOUN
cana-1232	43	27	,	,	PUNCT
cana-1232	43	28	attractively	attractively	ADV
cana-1232	43	29	pleasing	pleasing	ADJ
cana-1232	43	30	restored	restore	VERB
cana-1232	43	31	images	image	NOUN
cana-1232	43	32	.	.	PUNCT
cana-1232	44	1	2	2	X
cana-1232	44	2	.	.	X
cana-1232	44	3	literature	literature	NOUN
cana-1232	44	4	survey	survey	NOUN
cana-1232	44	5	image	image	NOUN
cana-1232	44	6	restoration	restoration	NOUN
cana-1232	44	7	techniques	technique	NOUN
cana-1232	44	8	have	have	AUX
cana-1232	44	9	been	be	AUX
cana-1232	44	10	extensively	extensively	ADV
cana-1232	44	11	researched	research	VERB
cana-1232	44	12	to	to	PART
cana-1232	44	13	tackle	tackle	VERB
cana-1232	44	14	the	the	DET
cana-1232	44	15	challenge	challenge	NOUN
cana-1232	44	16	of	of	ADP
cana-1232	44	17	reducing	reduce	VERB
cana-1232	44	18	noise	noise	NOUN
cana-1232	44	19	while	while	SCONJ
cana-1232	44	20	preserving	preserve	VERB
cana-1232	44	21	crucial	crucial	ADJ
cana-1232	44	22	image	image	NOUN
cana-1232	44	23	details	detail	NOUN
cana-1232	44	24	and	and	CCONJ
cana-1232	44	25	textures	texture	NOUN
cana-1232	44	26	.	.	PUNCT
cana-1232	45	1	this	this	DET
cana-1232	45	2	literature	literature	NOUN
cana-1232	45	3	survey	survey	NOUN
cana-1232	45	4	reviews	review	VERB
cana-1232	45	5	key	key	ADJ
cana-1232	45	6	contributions	contribution	NOUN
cana-1232	45	7	and	and	CCONJ
cana-1232	45	8	approaches	approach	NOUN
cana-1232	45	9	that	that	PRON
cana-1232	45	10	focus	focus	VERB
cana-1232	45	11	on	on	ADP
cana-1232	45	12	achieving	achieve	VERB
cana-1232	45	13	a	a	DET
cana-1232	45	14	balance	balance	NOUN
cana-1232	45	15	between	between	ADP
cana-1232	45	16	noise	noise	NOUN
cana-1232	45	17	reduction	reduction	NOUN
cana-1232	45	18	and	and	CCONJ
cana-1232	45	19	texture	texture	NOUN
cana-1232	45	20	preservation	preservation	NOUN
cana-1232	45	21	.	.	PUNCT
cana-1232	46	1	fidelity	fidelity	PROPN
cana-1232	46	2	regularization	regularization	NOUN
cana-1232	46	3	:	:	PUNCT
cana-1232	46	4	several	several	ADJ
cana-1232	46	5	studies	study	NOUN
cana-1232	46	6	have	have	AUX
cana-1232	46	7	explored	explore	VERB
cana-1232	46	8	fidelity	fidelity	NOUN
cana-1232	46	9	regularization	regularization	NOUN
cana-1232	46	10	to	to	PART
cana-1232	46	11	guide	guide	VERB
cana-1232	46	12	the	the	DET
cana-1232	46	13	restoration	restoration	NOUN
cana-1232	46	14	process	process	NOUN
cana-1232	46	15	.	.	PUNCT
cana-1232	47	1	zhang	zhang	PROPN
cana-1232	47	2	et	et	PROPN
cana-1232	47	3	al	al	PROPN
cana-1232	47	4	.	.	PROPN
cana-1232	47	5	(	(	PUNCT
cana-1232	47	6	2017	2017	NUM
cana-1232	47	7	)	)	PUNCT
cana-1232	47	8	proposed	propose	VERB
cana-1232	47	9	a	a	DET
cana-1232	47	10	fidelity	fidelity	NOUN
cana-1232	47	11	-	-	PUNCT
cana-1232	47	12	guided	guide	VERB
cana-1232	47	13	denoising	denoising	NOUN
cana-1232	47	14	method	method	NOUN
cana-1232	47	15	that	that	PRON
cana-1232	47	16	incorporated	incorporate	VERB
cana-1232	47	17	fidelity	fidelity	NOUN
cana-1232	47	18	terms	term	NOUN
cana-1232	47	19	to	to	PART
cana-1232	47	20	preserve	preserve	VERB
cana-1232	47	21	image	image	NOUN
cana-1232	47	22	details	detail	NOUN
cana-1232	47	23	by	by	ADP
cana-1232	47	24	leveraging	leverage	VERB
cana-1232	47	25	the	the	DET
cana-1232	47	26	similarity	similarity	NOUN
cana-1232	47	27	between	between	ADP
cana-1232	47	28	noisy	noisy	ADJ
cana-1232	47	29	and	and	CCONJ
cana-1232	47	30	restored	restore	VERB
cana-1232	47	31	images	image	NOUN
cana-1232	47	32	in	in	ADP
cana-1232	47	33	specific	specific	ADJ
cana-1232	47	34	regions	region	NOUN
cana-1232	47	35	.	.	PUNCT
cana-1232	48	1	similarly	similarly	ADV
cana-1232	48	2	,	,	PUNCT
cana-1232	48	3	li	li	PROPN
cana-1232	48	4	et	et	PROPN
cana-1232	48	5	al	al	PROPN
cana-1232	48	6	.	.	PROPN
cana-1232	49	1	(	(	PUNCT
cana-1232	49	2	2018	2018	NUM
cana-1232	49	3	)	)	PUNCT
cana-1232	49	4	introduced	introduce	VERB
cana-1232	49	5	a	a	DET
cana-1232	49	6	fidelity	fidelity	NOUN
cana-1232	49	7	-	-	PUNCT
cana-1232	49	8	driven	drive	VERB
cana-1232	49	9	deblurring	deblurring	NOUN
cana-1232	49	10	algorithm	algorithm	NOUN
cana-1232	49	11	aimed	aim	VERB
cana-1232	49	12	at	at	ADP
cana-1232	49	13	maintaining	maintain	VERB
cana-1232	49	14	image	image	NOUN
cana-1232	49	15	consistency	consistency	NOUN
cana-1232	49	16	in	in	ADP
cana-1232	49	17	regions	region	NOUN
cana-1232	49	18	with	with	ADP
cana-1232	49	19	important	important	ADJ
cana-1232	49	20	textures	texture	NOUN
cana-1232	49	21	.	.	PUNCT
cana-1232	50	1	adaptive	adaptive	ADJ
cana-1232	50	2	filtering	filter	VERB
cana-1232	50	3	adaptive	adaptive	ADJ
cana-1232	50	4	filtering	filtering	NOUN
cana-1232	50	5	techniques	technique	NOUN
cana-1232	50	6	have	have	AUX
cana-1232	50	7	been	be	AUX
cana-1232	50	8	widely	widely	ADV
cana-1232	50	9	employed	employ	VERB
cana-1232	50	10	to	to	PART
cana-1232	50	11	balance	balance	VERB
cana-1232	50	12	noise	noise	NOUN
cana-1232	50	13	reduction	reduction	NOUN
cana-1232	50	14	and	and	CCONJ
cana-1232	50	15	texture	texture	NOUN
cana-1232	50	16	preservation	preservation	NOUN
cana-1232	50	17	.	.	PUNCT
cana-1232	51	1	xu	xu	PROPN
cana-1232	51	2	et	et	PROPN
cana-1232	52	1	al	al	PROPN
cana-1232	52	2	.	.	PROPN
cana-1232	52	3	(	(	PUNCT
cana-1232	52	4	2011	2011	NUM
cana-1232	52	5	)	)	PUNCT
cana-1232	52	6	presented	present	VERB
cana-1232	52	7	a	a	DET
cana-1232	52	8	bilateral	bilateral	ADJ
cana-1232	52	9	filter	filter	NOUN
cana-1232	52	10	-	-	PUNCT
cana-1232	52	11	based	base	VERB
cana-1232	52	12	denoising	denoising	NOUN
cana-1232	52	13	method	method	NOUN
cana-1232	52	14	that	that	PRON
cana-1232	52	15	adapts	adapt	VERB
cana-1232	52	16	to	to	ADP
cana-1232	52	17	local	local	ADJ
cana-1232	52	18	image	image	NOUN
cana-1232	52	19	structures	structure	NOUN
cana-1232	52	20	,	,	PUNCT
cana-1232	52	21	preserving	preserve	VERB
cana-1232	52	22	important	important	ADJ
cana-1232	52	23	textures	texture	NOUN
cana-1232	52	24	while	while	SCONJ
cana-1232	52	25	reducing	reduce	VERB
cana-1232	52	26	noise	noise	NOUN
cana-1232	52	27	.	.	PUNCT
cana-1232	53	1	li	li	PROPN
cana-1232	53	2	et	et	PROPN
cana-1232	53	3	al	al	PROPN
cana-1232	53	4	.	.	PROPN
cana-1232	54	1	(	(	PUNCT
cana-1232	54	2	2019	2019	NUM
cana-1232	54	3	)	)	PUNCT
cana-1232	54	4	proposed	propose	VERB
cana-1232	54	5	a	a	DET
cana-1232	54	6	guided	guide	VERB
cana-1232	54	7	filter	filter	NOUN
cana-1232	54	8	approach	approach	NOUN
cana-1232	54	9	that	that	PRON
cana-1232	54	10	effectively	effectively	ADV
cana-1232	54	11	suppresses	suppress	VERB
cana-1232	54	12	noise	noise	NOUN
cana-1232	54	13	while	while	SCONJ
cana-1232	54	14	retaining	retain	VERB
cana-1232	54	15	fine	fine	ADJ
cana-1232	54	16	details	detail	NOUN
cana-1232	54	17	and	and	CCONJ
cana-1232	54	18	textures	texture	NOUN
cana-1232	54	19	by	by	ADP
cana-1232	54	20	considering	consider	VERB
cana-1232	54	21	local	local	ADJ
cana-1232	54	22	image	image	NOUN
cana-1232	54	23	statistics	statistic	NOUN
cana-1232	54	24	.	.	PUNCT
cana-1232	55	1	deep	deep	ADJ
cana-1232	55	2	learning	learning	NOUN
cana-1232	55	3	-	-	PUNCT
cana-1232	55	4	based	base	VERB
cana-1232	55	5	approaches	approach	NOUN
cana-1232	55	6	:	:	PUNCT
cana-1232	55	7	deep	deep	ADJ
cana-1232	55	8	learning	learning	NOUN
cana-1232	55	9	has	have	AUX
cana-1232	55	10	revolutionized	revolutionize	VERB
cana-1232	55	11	image	image	NOUN
cana-1232	55	12	restoration	restoration	NOUN
cana-1232	55	13	,	,	PUNCT
cana-1232	55	14	offering	offer	VERB
cana-1232	55	15	the	the	DET
cana-1232	55	16	potential	potential	NOUN
cana-1232	55	17	for	for	ADP
cana-1232	55	18	improved	improved	ADJ
cana-1232	55	19	preservation	preservation	NOUN
cana-1232	55	20	of	of	ADP
cana-1232	55	21	image	image	NOUN
cana-1232	55	22	details	detail	NOUN
cana-1232	55	23	and	and	CCONJ
cana-1232	55	24	textures	texture	NOUN
cana-1232	55	25	.	.	PUNCT
cana-1232	56	1	zhang	zhang	PROPN
cana-1232	56	2	et	et	PROPN
cana-1232	56	3	al	al	PROPN
cana-1232	56	4	.	.	PROPN
cana-1232	56	5	(	(	PUNCT
cana-1232	56	6	2017	2017	NUM
cana-1232	56	7	)	)	PUNCT
cana-1232	56	8	developed	develop	VERB
cana-1232	56	9	an	an	DET
cana-1232	56	10	advanced	advanced	ADJ
cana-1232	56	11	learning	learning	NOUN
cana-1232	56	12	-	-	PUNCT
cana-1232	56	13	based	base	VERB
cana-1232	56	14	denoising	denoising	NOUN
cana-1232	56	15	approach	approach	NOUN
cana-1232	56	16	using	use	VERB
cana-1232	56	17	a	a	DET
cana-1232	56	18	network	network	NOUN
cana-1232	56	19	of	of	ADP
cana-1232	56	20	convolutional	convolutional	ADJ
cana-1232	56	21	neural	neural	ADJ
cana-1232	56	22	networks	network	NOUN
cana-1232	56	23	(	(	PUNCT
cana-1232	56	24	cnn	cnn	NOUN
cana-1232	56	25	)	)	PUNCT
cana-1232	56	26	architecture	architecture	NOUN
cana-1232	56	27	to	to	PART
cana-1232	56	28	capture	capture	VERB
cana-1232	56	29	complex	complex	ADJ
cana-1232	56	30	image	image	NOUN
cana-1232	56	31	patterns	pattern	NOUN
cana-1232	56	32	and	and	CCONJ
cana-1232	56	33	textures	texture	NOUN
cana-1232	56	34	.	.	PUNCT
cana-1232	57	1	similarly	similarly	ADV
cana-1232	57	2	,	,	PUNCT
cana-1232	57	3	nah	nah	INTJ
cana-1232	57	4	et	et	PROPN
cana-1232	57	5	al	al	PROPN
cana-1232	57	6	.	.	PROPN
cana-1232	58	1	(	(	PUNCT
cana-1232	58	2	2017	2017	NUM
cana-1232	58	3	)	)	PUNCT
cana-1232	58	4	suggested	suggest	VERB
cana-1232	58	5	a	a	DET
cana-1232	58	6	deep	deep	ADJ
cana-1232	58	7	network	network	NOUN
cana-1232	58	8	of	of	ADP
cana-1232	58	9	convolutional	convolutional	ADJ
cana-1232	58	10	neural	neural	ADJ
cana-1232	58	11	networks	network	NOUN
cana-1232	58	12	image	image	NOUN
cana-1232	58	13	deblurring	deblurring	NOUN
cana-1232	58	14	,	,	PUNCT
cana-1232	58	15	achieving	achieve	VERB
cana-1232	58	16	better	well	ADJ
cana-1232	58	17	preservation	preservation	NOUN
cana-1232	58	18	of	of	ADP
cana-1232	58	19	image	image	NOUN
cana-1232	58	20	structures	structure	NOUN
cana-1232	58	21	and	and	CCONJ
cana-1232	58	22	textures	texture	NOUN
cana-1232	58	23	.	.	PUNCT
cana-1232	59	1	texture	texture	ADJ
cana-1232	59	2	-	-	PUNCT
cana-1232	59	3	aware	aware	ADJ
cana-1232	59	4	restoration	restoration	NOUN
cana-1232	59	5	:	:	PUNCT
cana-1232	59	6	texture	texture	ADJ
cana-1232	59	7	-	-	PUNCT
cana-1232	59	8	aware	aware	ADJ
cana-1232	59	9	restoration	restoration	NOUN
cana-1232	59	10	methods	method	NOUN
cana-1232	59	11	aim	aim	VERB
cana-1232	59	12	to	to	PART
cana-1232	59	13	explicitly	explicitly	ADV
cana-1232	59	14	preserve	preserve	VERB
cana-1232	59	15	important	important	ADJ
cana-1232	59	16	image	image	NOUN
cana-1232	59	17	textures	texture	NOUN
cana-1232	59	18	.	.	PUNCT
cana-1232	60	1	buades	buades	PROPN
cana-1232	60	2	et	et	PROPN
cana-1232	60	3	al	al	PROPN
cana-1232	60	4	.	.	PUNCT
cana-1232	61	1	(	(	PUNCT
cana-1232	61	2	2005	2005	NUM
cana-1232	61	3	)	)	PUNCT
cana-1232	61	4	introduced	introduce	VERB
cana-1232	61	5	the	the	DET
cana-1232	61	6	non	non	ADJ
cana-1232	61	7	-	-	ADJ
cana-1232	61	8	local	local	ADJ
cana-1232	61	9	means	mean	NOUN
cana-1232	61	10	(	(	PUNCT
cana-1232	61	11	nlm	nlm	NOUN
cana-1232	61	12	)	)	PUNCT
cana-1232	61	13	filter	filter	NOUN
cana-1232	61	14	effectively	effectively	ADV
cana-1232	61	15	reducing	reduce	VERB
cana-1232	61	16	noise	noise	NOUN
cana-1232	61	17	while	while	SCONJ
cana-1232	61	18	preserving	preserve	VERB
cana-1232	61	19	image	image	NOUN
cana-1232	61	20	textures	texture	NOUN
cana-1232	61	21	by	by	ADP
cana-1232	61	22	exploiting	exploit	VERB
cana-1232	61	23	similarities	similarity	NOUN
cana-1232	61	24	between	between	ADP
cana-1232	61	25	image	image	NOUN
cana-1232	61	26	patches	patch	NOUN
cana-1232	61	27	.	.	PUNCT
cana-1232	62	1	xu	xu	PROPN
cana-1232	62	2	et	et	PROPN
cana-1232	63	1	al	al	PROPN
cana-1232	63	2	.	.	PROPN
cana-1232	64	1	(	(	PUNCT
cana-1232	64	2	2013	2013	NUM
cana-1232	64	3	)	)	PUNCT
cana-1232	64	4	extended	extend	VERB
cana-1232	64	5	this	this	DET
cana-1232	64	6	approach	approach	NOUN
cana-1232	64	7	by	by	ADP
cana-1232	64	8	incorporating	incorporate	VERB
cana-1232	64	9	patch	patch	ADJ
cana-1232	64	10	groups	group	NOUN
cana-1232	64	11	to	to	PART
cana-1232	64	12	enhance	enhance	VERB
cana-1232	64	13	texture	texture	ADJ
cana-1232	64	14	preservation	preservation	NOUN
cana-1232	64	15	in	in	ADP
cana-1232	64	16	denoising	denoise	VERB
cana-1232	64	17	.	.	PUNCT
cana-1232	65	1	perceptual	perceptual	ADJ
cana-1232	65	2	loss	loss	NOUN
cana-1232	65	3	functions	function	NOUN
cana-1232	65	4	:	:	PUNCT
cana-1232	65	5	perceptual	perceptual	ADJ
cana-1232	65	6	loss	loss	NOUN
cana-1232	65	7	functions	function	NOUN
cana-1232	65	8	have	have	AUX
cana-1232	65	9	gained	gain	VERB
cana-1232	65	10	attention	attention	NOUN
cana-1232	65	11	for	for	ADP
cana-1232	65	12	guiding	guide	VERB
cana-1232	65	13	the	the	DET
cana-1232	65	14	restoration	restoration	NOUN
cana-1232	65	15	process	process	NOUN
cana-1232	65	16	towards	towards	ADP
cana-1232	65	17	visually	visually	ADV
cana-1232	65	18	pleasing	pleasing	ADJ
cana-1232	65	19	results	result	NOUN
cana-1232	65	20	.	.	PUNCT
cana-1232	66	1	johnson	johnson	PROPN
cana-1232	66	2	et	et	PROPN
cana-1232	66	3	al	al	PROPN
cana-1232	66	4	.	.	PROPN
cana-1232	67	1	(	(	PUNCT
cana-1232	67	2	2016	2016	NUM
cana-1232	67	3	)	)	PUNCT
cana-1232	67	4	introduced	introduce	VERB
cana-1232	67	5	the	the	DET
cana-1232	67	6	use	use	NOUN
cana-1232	67	7	of	of	ADP
cana-1232	67	8	perceptual	perceptual	ADJ
cana-1232	67	9	loss	loss	NOUN
cana-1232	67	10	functions	function	NOUN
cana-1232	67	11	based	base	VERB
cana-1232	67	12	on	on	ADP
cana-1232	67	13	pre	pre	ADJ
cana-1232	67	14	-	-	ADJ
cana-1232	67	15	trained	train	VERB
cana-1232	67	16	deep	deep	ADJ
cana-1232	67	17	neural	neural	ADJ
cana-1232	67	18	networks	network	NOUN
cana-1232	67	19	to	to	PART
cana-1232	67	20	enhance	enhance	VERB
cana-1232	67	21	image	image	NOUN
cana-1232	67	22	quality	quality	NOUN
cana-1232	67	23	in	in	ADP
cana-1232	67	24	super	super	ADJ
cana-1232	67	25	-	-	ADJ
cana-1232	67	26	resolution	resolution	ADJ
cana-1232	67	27	tasks	task	NOUN
cana-1232	67	28	.	.	PUNCT
cana-1232	68	1	by	by	ADP
cana-1232	68	2	focusing	focus	VERB
cana-1232	68	3	on	on	ADP
cana-1232	68	4	higher	high	ADJ
cana-1232	68	5	-	-	PUNCT
cana-1232	68	6	level	level	NOUN
cana-1232	68	7	features	feature	NOUN
cana-1232	68	8	like	like	ADP
cana-1232	68	9	texture	texture	NOUN
cana-1232	68	10	and	and	CCONJ
cana-1232	68	11	structure	structure	NOUN
cana-1232	68	12	,	,	PUNCT
cana-1232	68	13	these	these	DET
cana-1232	68	14	loss	loss	NOUN
cana-1232	68	15	functions	function	NOUN
cana-1232	68	16	facilitate	facilitate	VERB
cana-1232	68	17	better	well	ADJ
cana-1232	68	18	preservation	preservation	NOUN
cana-1232	68	19	of	of	ADP
cana-1232	68	20	image	image	NOUN
cana-1232	68	21	details	detail	NOUN
cana-1232	68	22	.	.	PUNCT
cana-1232	69	1	in	in	ADP
cana-1232	69	2	conclusion	conclusion	NOUN
cana-1232	69	3	,	,	PUNCT
cana-1232	69	4	the	the	DET
cana-1232	69	5	reviewed	review	VERB
cana-1232	69	6	literature	literature	NOUN
cana-1232	69	7	showcases	showcase	VERB
cana-1232	69	8	various	various	ADJ
cana-1232	69	9	approaches	approach	NOUN
cana-1232	69	10	to	to	ADP
cana-1232	69	11	balancing	balance	VERB
cana-1232	69	12	noise	noise	NOUN
cana-1232	69	13	reduction	reduction	NOUN
cana-1232	69	14	and	and	CCONJ
cana-1232	69	15	texture	texture	ADJ
cana-1232	69	16	preservation	preservation	NOUN
cana-1232	69	17	in	in	ADP
cana-1232	69	18	image	image	NOUN
cana-1232	69	19	restoration	restoration	NOUN
cana-1232	69	20	.	.	PUNCT
cana-1232	70	1	techniques	technique	NOUN
cana-1232	70	2	such	such	ADJ
cana-1232	70	3	as	as	ADP
cana-1232	70	4	fidelity	fidelity	PROPN
cana-1232	70	5	regularization	regularization	NOUN
cana-1232	70	6	,	,	PUNCT
cana-1232	70	7	adaptive	adaptive	ADJ
cana-1232	70	8	filtering	filtering	NOUN
cana-1232	70	9	,	,	PUNCT
cana-1232	70	10	deep	deep	ADJ
cana-1232	70	11	learning	learning	NOUN
cana-1232	70	12	-	-	PUNCT
cana-1232	70	13	based	base	VERB
cana-1232	70	14	methods	method	NOUN
cana-1232	70	15	,	,	PUNCT
cana-1232	70	16	texture	texture	NOUN
cana-1232	70	17	-	-	PUNCT
cana-1232	70	18	aware	aware	ADJ
cana-1232	70	19	restoration	restoration	NOUN
cana-1232	70	20	,	,	PUNCT
cana-1232	70	21	and	and	CCONJ
cana-1232	70	22	perceptual	perceptual	ADJ
cana-1232	70	23	loss	loss	NOUN
cana-1232	70	24	functions	function	NOUN
cana-1232	70	25	have	have	AUX
cana-1232	70	26	shown	show	VERB
cana-1232	70	27	promising	promising	ADJ
cana-1232	70	28	results	result	NOUN
cana-1232	70	29	in	in	ADP
cana-1232	70	30	enhancing	enhance	VERB
cana-1232	70	31	image	image	NOUN
cana-1232	70	32	details	detail	NOUN
cana-1232	70	33	while	while	SCONJ
cana-1232	70	34	reducing	reduce	VERB
cana-1232	70	35	noise	noise	NOUN
cana-1232	70	36	.	.	PUNCT
cana-1232	71	1	building	build	VERB
cana-1232	71	2	upon	upon	SCONJ
cana-1232	71	3	these	these	DET
cana-1232	71	4	communications	communication	NOUN
cana-1232	71	5	on	on	ADP
cana-1232	71	6	applied	apply	VERB
cana-1232	71	7	nonlinear	nonlinear	ADJ
cana-1232	71	8	analysis	analysis	NOUN
cana-1232	71	9	issn	issn	NOUN
cana-1232	71	10	:	:	PUNCT
cana-1232	71	11	1074	1074	NUM
cana-1232	71	12	-	-	PUNCT
cana-1232	71	13	133x	133x	NUM
cana-1232	71	14	vol	vol	NOUN
cana-1232	71	15	31	31	NUM
cana-1232	71	16	no	no	NOUN
cana-1232	71	17	.	.	PUNCT
cana-1232	72	1	6s	6s	NUM
cana-1232	72	2	(	(	PUNCT
cana-1232	72	3	2024	2024	NUM
cana-1232	72	4	)	)	PUNCT
cana-1232	72	5	404	404	NUM
cana-1232	72	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	72	7	existing	exist	VERB
cana-1232	72	8	techniques	technique	NOUN
cana-1232	72	9	,	,	PUNCT
cana-1232	72	10	the	the	DET
cana-1232	72	11	proposed	propose	VERB
cana-1232	72	12	fidelity	fidelity	NOUN
cana-1232	72	13	-	-	PUNCT
cana-1232	72	14	guided	guide	VERB
cana-1232	72	15	restoration	restoration	NOUN
cana-1232	72	16	(	(	PUNCT
cana-1232	72	17	fgr	fgr	NOUN
cana-1232	72	18	)	)	PUNCT
cana-1232	72	19	approach	approach	NOUN
cana-1232	72	20	aims	aim	VERB
cana-1232	72	21	to	to	PART
cana-1232	72	22	address	address	VERB
cana-1232	72	23	the	the	DET
cana-1232	72	24	challenge	challenge	NOUN
cana-1232	72	25	by	by	ADP
cana-1232	72	26	incorporating	incorporate	VERB
cana-1232	72	27	fidelity	fidelity	NOUN
cana-1232	72	28	regularization	regularization	NOUN
cana-1232	72	29	and	and	CCONJ
cana-1232	72	30	leveraging	leverage	VERB
cana-1232	72	31	deep	deep	ADJ
cana-1232	72	32	learning	learning	NOUN
cana-1232	72	33	to	to	PART
cana-1232	72	34	achieve	achieve	VERB
cana-1232	72	35	enhanced	enhanced	ADJ
cana-1232	72	36	preservation	preservation	NOUN
cana-1232	72	37	of	of	ADP
cana-1232	72	38	image	image	NOUN
cana-1232	72	39	details	detail	NOUN
cana-1232	72	40	and	and	CCONJ
cana-1232	72	41	textures	texture	NOUN
cana-1232	72	42	.	.	PUNCT
cana-1232	73	1	the	the	DET
cana-1232	73	2	subsequent	subsequent	ADJ
cana-1232	73	3	sections	section	NOUN
cana-1232	73	4	will	will	AUX
cana-1232	73	5	present	present	VERB
cana-1232	73	6	the	the	DET
cana-1232	73	7	methodology	methodology	NOUN
cana-1232	73	8	,	,	PUNCT
cana-1232	73	9	experiments	experiment	NOUN
cana-1232	73	10	,	,	PUNCT
cana-1232	73	11	and	and	CCONJ
cana-1232	73	12	results	result	NOUN
cana-1232	73	13	of	of	ADP
cana-1232	73	14	fgr	fgr	NOUN
cana-1232	73	15	to	to	PART
cana-1232	73	16	further	far	ADV
cana-1232	73	17	validate	validate	VERB
cana-1232	73	18	its	its	PRON
cana-1232	73	19	effectiveness	effectiveness	NOUN
cana-1232	73	20	in	in	ADP
cana-1232	73	21	achieving	achieve	VERB
cana-1232	73	22	a	a	DET
cana-1232	73	23	better	well	ADJ
cana-1232	73	24	balance	balance	NOUN
cana-1232	73	25	between	between	ADP
cana-1232	73	26	noise	noise	NOUN
cana-1232	73	27	reduction	reduction	NOUN
cana-1232	73	28	and	and	CCONJ
cana-1232	73	29	texture	texture	ADJ
cana-1232	73	30	preservation	preservation	NOUN
cana-1232	73	31	for	for	ADP
cana-1232	73	32	enhanced	enhanced	ADJ
cana-1232	73	33	image	image	NOUN
cana-1232	73	34	details	detail	NOUN
cana-1232	73	35	.	.	PUNCT
cana-1232	74	1	author(s	author(s	ADJ
cana-1232	74	2	)	)	PUNCT
cana-1232	74	3	paper	paper	NOUN
cana-1232	74	4	title	title	NOUN
cana-1232	74	5	advantages	advantage	NOUN
cana-1232	74	6	disadvantages	disadvantage	VERB
cana-1232	74	7	zhang	zhang	PROPN
cana-1232	74	8	et	et	PROPN
cana-1232	74	9	al	al	PROPN
cana-1232	74	10	.	.	PROPN
cana-1232	75	1	(	(	PUNCT
cana-1232	75	2	2017	2017	NUM
cana-1232	75	3	)	)	PUNCT
cana-1232	75	4	fidelity	fidelity	NOUN
cana-1232	75	5	-	-	PUNCT
cana-1232	75	6	guided	guide	VERB
cana-1232	75	7	denoising	denoising	NOUN
cana-1232	75	8	preserves	preserve	VERB
cana-1232	75	9	image	image	NOUN
cana-1232	75	10	details	detail	NOUN
cana-1232	75	11	by	by	ADP
cana-1232	75	12	leveraging	leverage	VERB
cana-1232	75	13	similarity	similarity	NOUN
cana-1232	75	14	between	between	ADP
cana-1232	75	15	noisy	noisy	ADJ
cana-1232	75	16	and	and	CCONJ
cana-1232	75	17	restored	restore	VERB
cana-1232	75	18	images	image	NOUN
cana-1232	75	19	in	in	ADP
cana-1232	75	20	specific	specific	ADJ
cana-1232	75	21	regions	region	NOUN
cana-1232	75	22	may	may	AUX
cana-1232	75	23	not	not	PART
cana-1232	75	24	handle	handle	VERB
cana-1232	75	25	highly	highly	ADV
cana-1232	75	26	textured	texture	VERB
cana-1232	75	27	regions	region	NOUN
cana-1232	75	28	effectively	effectively	ADV
cana-1232	75	29	li	li	PROPN
cana-1232	75	30	et	et	PROPN
cana-1232	75	31	al	al	PROPN
cana-1232	75	32	.	.	PROPN
cana-1232	76	1	(	(	PUNCT
cana-1232	76	2	2018	2018	NUM
cana-1232	76	3	)	)	PUNCT
cana-1232	76	4	fidelity	fidelity	NOUN
cana-1232	76	5	-	-	PUNCT
cana-1232	76	6	driven	drive	VERB
cana-1232	76	7	deblurring	deblurring	NOUN
cana-1232	76	8	maintains	maintain	VERB
cana-1232	76	9	image	image	NOUN
cana-1232	76	10	consistency	consistency	NOUN
cana-1232	76	11	in	in	ADP
cana-1232	76	12	regions	region	NOUN
cana-1232	76	13	with	with	ADP
cana-1232	76	14	important	important	ADJ
cana-1232	76	15	textures	texture	NOUN
cana-1232	76	16	performance	performance	NOUN
cana-1232	76	17	may	may	AUX
cana-1232	76	18	degrade	degrade	VERB
cana-1232	76	19	in	in	ADP
cana-1232	76	20	low	low	ADJ
cana-1232	76	21	-	-	PUNCT
cana-1232	76	22	contrast	contrast	NOUN
cana-1232	76	23	areas	area	NOUN
cana-1232	76	24	xu	xu	INTJ
cana-1232	76	25	et	et	PROPN
cana-1232	76	26	al	al	PROPN
cana-1232	76	27	.	.	PROPN
cana-1232	77	1	(	(	PUNCT
cana-1232	77	2	2011	2011	NUM
cana-1232	77	3	)	)	PUNCT
cana-1232	77	4	bilateral	bilateral	ADJ
cana-1232	77	5	filterbased	filterbase	VERB
cana-1232	77	6	denoising	denoising	NOUN
cana-1232	77	7	adapts	adapt	VERB
cana-1232	77	8	to	to	ADP
cana-1232	77	9	local	local	ADJ
cana-1232	77	10	image	image	NOUN
cana-1232	77	11	structures	structure	NOUN
cana-1232	77	12	,	,	PUNCT
cana-1232	77	13	preserving	preserve	VERB
cana-1232	77	14	important	important	ADJ
cana-1232	77	15	textures	texture	NOUN
cana-1232	77	16	while	while	SCONJ
cana-1232	77	17	reducing	reduce	VERB
cana-1232	77	18	noise	noise	NOUN
cana-1232	77	19	computationally	computationally	ADV
cana-1232	77	20	intensive	intensive	ADJ
cana-1232	77	21	for	for	ADP
cana-1232	77	22	large	large	ADJ
cana-1232	77	23	images	image	NOUN
cana-1232	77	24	li	li	PROPN
cana-1232	77	25	et	et	PROPN
cana-1232	77	26	al	al	PROPN
cana-1232	77	27	.	.	PROPN
cana-1232	78	1	(	(	PUNCT
cana-1232	78	2	2019	2019	NUM
cana-1232	78	3	)	)	PUNCT
cana-1232	78	4	guided	guide	VERB
cana-1232	78	5	filter	filter	NOUN
cana-1232	78	6	approach	approach	NOUN
cana-1232	78	7	effectively	effectively	ADV
cana-1232	78	8	suppresses	suppress	VERB
cana-1232	78	9	noise	noise	NOUN
cana-1232	78	10	while	while	SCONJ
cana-1232	78	11	retaining	retain	VERB
cana-1232	78	12	fine	fine	ADJ
cana-1232	78	13	details	detail	NOUN
cana-1232	78	14	and	and	CCONJ
cana-1232	78	15	textures	texture	NOUN
cana-1232	78	16	by	by	ADP
cana-1232	78	17	considering	consider	VERB
cana-1232	78	18	local	local	ADJ
cana-1232	78	19	statistics	statistic	NOUN
cana-1232	78	20	may	may	AUX
cana-1232	78	21	struggle	struggle	VERB
cana-1232	78	22	with	with	ADP
cana-1232	78	23	complex	complex	ADJ
cana-1232	78	24	textures	texture	NOUN
cana-1232	78	25	and	and	CCONJ
cana-1232	78	26	fine	fine	ADJ
cana-1232	78	27	structures	structure	NOUN
cana-1232	78	28	zhang	zhang	PROPN
cana-1232	78	29	et	et	PROPN
cana-1232	78	30	al	al	PROPN
cana-1232	78	31	.	.	PROPN
cana-1232	79	1	(	(	PUNCT
cana-1232	79	2	2017	2017	NUM
cana-1232	79	3	)	)	PUNCT
cana-1232	79	4	deep	deep	ADV
cana-1232	79	5	learningbased	learningbased	ADJ
cana-1232	79	6	denoising	denoising	NOUN
cana-1232	79	7	utilizes	utilize	NOUN
cana-1232	79	8	cnn	cnn	PROPN
cana-1232	79	9	to	to	PART
cana-1232	79	10	capture	capture	VERB
cana-1232	79	11	complex	complex	ADJ
cana-1232	79	12	image	image	NOUN
cana-1232	79	13	patterns	pattern	NOUN
cana-1232	79	14	and	and	CCONJ
cana-1232	79	15	textures	texture	NOUN
cana-1232	79	16	requires	require	VERB
cana-1232	79	17	large	large	ADJ
cana-1232	79	18	datasets	dataset	NOUN
cana-1232	79	19	and	and	CCONJ
cana-1232	79	20	significant	significant	ADJ
cana-1232	79	21	computational	computational	ADJ
cana-1232	79	22	resources	resource	NOUN
cana-1232	79	23	for	for	ADP
cana-1232	79	24	training	training	NOUN
cana-1232	79	25	nah	nah	INTJ
cana-1232	79	26	et	et	NOUN
cana-1232	79	27	al	al	PROPN
cana-1232	79	28	.	.	PROPN
cana-1232	80	1	(	(	PUNCT
cana-1232	80	2	2017	2017	NUM
cana-1232	80	3	)	)	PUNCT
cana-1232	80	4	deep	deep	ADJ
cana-1232	80	5	convolutional	convolutional	ADJ
cana-1232	80	6	neural	neural	ADJ
cana-1232	80	7	network	network	NOUN
cana-1232	80	8	for	for	ADP
cana-1232	80	9	deblurring	deblurre	VERB
cana-1232	80	10	achieves	achieve	VERB
cana-1232	80	11	better	well	ADJ
cana-1232	80	12	preservation	preservation	NOUN
cana-1232	80	13	of	of	ADP
cana-1232	80	14	image	image	NOUN
cana-1232	80	15	structures	structure	NOUN
cana-1232	80	16	and	and	CCONJ
cana-1232	80	17	textures	texture	NOUN
cana-1232	80	18	potentially	potentially	ADV
cana-1232	80	19	high	high	ADJ
cana-1232	80	20	computational	computational	ADJ
cana-1232	80	21	cost	cost	NOUN
cana-1232	80	22	and	and	CCONJ
cana-1232	80	23	model	model	NOUN
cana-1232	80	24	complexity	complexity	NOUN
cana-1232	80	25	buades	buade	NOUN
cana-1232	80	26	et	et	PROPN
cana-1232	80	27	al	al	PROPN
cana-1232	80	28	.	.	PUNCT
cana-1232	81	1	(	(	PUNCT
cana-1232	81	2	2005	2005	NUM
cana-1232	81	3	)	)	PUNCT
cana-1232	81	4	non	non	ADJ
cana-1232	81	5	-	-	ADJ
cana-1232	81	6	local	local	ADJ
cana-1232	81	7	means	mean	NOUN
cana-1232	81	8	(	(	PUNCT
cana-1232	81	9	nlm	nlm	NOUN
cana-1232	81	10	)	)	PUNCT
cana-1232	81	11	filter	filter	NOUN
cana-1232	81	12	reduces	reduce	VERB
cana-1232	81	13	noise	noise	NOUN
cana-1232	81	14	while	while	SCONJ
cana-1232	81	15	preserving	preserve	VERB
cana-1232	81	16	image	image	NOUN
cana-1232	81	17	textures	texture	NOUN
cana-1232	81	18	by	by	ADP
cana-1232	81	19	exploiting	exploit	VERB
cana-1232	81	20	similarities	similarity	NOUN
cana-1232	81	21	between	between	ADP
cana-1232	81	22	image	image	NOUN
cana-1232	81	23	patches	patch	NOUN
cana-1232	81	24	computationally	computationally	ADV
cana-1232	81	25	expensive	expensive	ADJ
cana-1232	81	26	and	and	CCONJ
cana-1232	81	27	can	can	AUX
cana-1232	81	28	be	be	AUX
cana-1232	81	29	slow	slow	ADJ
cana-1232	81	30	for	for	ADP
cana-1232	81	31	large	large	ADJ
cana-1232	81	32	images	image	NOUN
cana-1232	81	33	xu	xu	INTJ
cana-1232	81	34	et	et	PROPN
cana-1232	81	35	al	al	PROPN
cana-1232	81	36	.	.	PROPN
cana-1232	82	1	(	(	PUNCT
cana-1232	82	2	2013	2013	NUM
cana-1232	82	3	)	)	PUNCT
cana-1232	82	4	patch	patch	NOUN
cana-1232	82	5	group	group	NOUN
cana-1232	82	6	-	-	PUNCT
cana-1232	82	7	based	base	VERB
cana-1232	82	8	texture	texture	NOUN
cana-1232	82	9	-	-	PUNCT
cana-1232	82	10	aware	aware	ADJ
cana-1232	82	11	denoising	denoising	NOUN
cana-1232	82	12	enhances	enhance	VERB
cana-1232	82	13	texture	texture	ADJ
cana-1232	82	14	preservation	preservation	NOUN
cana-1232	82	15	in	in	ADP
cana-1232	82	16	denoising	denoising	NOUN
cana-1232	82	17	can	can	AUX
cana-1232	82	18	be	be	AUX
cana-1232	82	19	complex	complex	ADJ
cana-1232	82	20	to	to	PART
cana-1232	82	21	implement	implement	VERB
cana-1232	82	22	and	and	CCONJ
cana-1232	82	23	may	may	AUX
cana-1232	82	24	require	require	VERB
cana-1232	82	25	extensive	extensive	ADJ
cana-1232	82	26	tuning	tuning	NOUN
cana-1232	82	27	johnson	johnson	PROPN
cana-1232	82	28	et	et	PROPN
cana-1232	82	29	al	al	PROPN
cana-1232	82	30	.	.	PROPN
cana-1232	83	1	(	(	PUNCT
cana-1232	83	2	2016	2016	NUM
cana-1232	83	3	)	)	PUNCT
cana-1232	83	4	perceptual	perceptual	ADJ
cana-1232	83	5	loss	loss	NOUN
cana-1232	83	6	functions	function	NOUN
cana-1232	83	7	in	in	ADP
cana-1232	83	8	superresolution	superresolution	NOUN
cana-1232	83	9	focuses	focus	VERB
cana-1232	83	10	on	on	ADP
cana-1232	83	11	higher	high	ADJ
cana-1232	83	12	-	-	PUNCT
cana-1232	83	13	level	level	NOUN
cana-1232	83	14	features	feature	NOUN
cana-1232	83	15	like	like	ADP
cana-1232	83	16	texture	texture	NOUN
cana-1232	83	17	and	and	CCONJ
cana-1232	83	18	structure	structure	NOUN
cana-1232	83	19	,	,	PUNCT
cana-1232	83	20	enhancing	enhance	VERB
cana-1232	83	21	image	image	NOUN
cana-1232	83	22	quality	quality	NOUN
cana-1232	83	23	perceptual	perceptual	ADJ
cana-1232	83	24	loss	loss	NOUN
cana-1232	83	25	may	may	AUX
cana-1232	83	26	not	not	PART
cana-1232	83	27	always	always	ADV
cana-1232	83	28	align	align	VERB
cana-1232	83	29	with	with	ADP
cana-1232	83	30	pixel	pixel	ADJ
cana-1232	83	31	-	-	ADJ
cana-1232	83	32	wise	wise	ADJ
cana-1232	83	33	accuracy	accuracy	NOUN
cana-1232	83	34	,	,	PUNCT
cana-1232	83	35	potentially	potentially	ADV
cana-1232	83	36	leading	lead	VERB
cana-1232	83	37	to	to	ADP
cana-1232	83	38	artifacts	artifact	NOUN
cana-1232	83	39	table	table	NOUN
cana-1232	83	40	1	1	NUM
cana-1232	83	41	:	:	PUNCT
cana-1232	83	42	literature	literature	NOUN
cana-1232	83	43	survey	survey	VERB
cana-1232	83	44	comparison	comparison	NOUN
cana-1232	83	45	communications	communication	NOUN
cana-1232	83	46	on	on	ADP
cana-1232	83	47	applied	apply	VERB
cana-1232	83	48	nonlinear	nonlinear	ADJ
cana-1232	83	49	analysis	analysis	NOUN
cana-1232	83	50	issn	issn	NOUN
cana-1232	83	51	:	:	PUNCT
cana-1232	83	52	1074	1074	NUM
cana-1232	83	53	-	-	PUNCT
cana-1232	83	54	133x	133x	NUM
cana-1232	83	55	vol	vol	NOUN
cana-1232	83	56	31	31	NUM
cana-1232	83	57	no	no	NOUN
cana-1232	83	58	.	.	PUNCT
cana-1232	84	1	6s	6s	NUM
cana-1232	84	2	(	(	PUNCT
cana-1232	84	3	2024	2024	NUM
cana-1232	84	4	)	)	PUNCT
cana-1232	84	5	405	405	NUM
cana-1232	84	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	84	7	3	3	X
cana-1232	84	8	.	.	PUNCT
cana-1232	84	9	existing	exist	VERB
cana-1232	84	10	system	system	NOUN
cana-1232	84	11	in	in	ADP
cana-1232	84	12	the	the	DET
cana-1232	84	13	field	field	NOUN
cana-1232	84	14	of	of	ADP
cana-1232	84	15	image	image	NOUN
cana-1232	84	16	restoration	restoration	NOUN
cana-1232	84	17	,	,	PUNCT
cana-1232	84	18	many	many	ADJ
cana-1232	84	19	techniques	technique	NOUN
cana-1232	84	20	have	have	AUX
cana-1232	84	21	been	be	AUX
cana-1232	84	22	developed	develop	VERB
cana-1232	84	23	to	to	PART
cana-1232	84	24	reduce	reduce	VERB
cana-1232	84	25	noise	noise	NOUN
cana-1232	84	26	while	while	SCONJ
cana-1232	84	27	preserving	preserve	VERB
cana-1232	84	28	image	image	NOUN
cana-1232	84	29	details	detail	NOUN
cana-1232	84	30	and	and	CCONJ
cana-1232	84	31	textures	texture	NOUN
cana-1232	84	32	.	.	PUNCT
cana-1232	85	1	however	however	ADV
cana-1232	85	2	,	,	PUNCT
cana-1232	85	3	achieving	achieve	VERB
cana-1232	85	4	a	a	DET
cana-1232	85	5	balance	balance	NOUN
cana-1232	85	6	between	between	ADP
cana-1232	85	7	noise	noise	NOUN
cana-1232	85	8	reduction	reduction	NOUN
cana-1232	85	9	and	and	CCONJ
cana-1232	85	10	texture	texture	ADJ
cana-1232	85	11	preservation	preservation	NOUN
cana-1232	85	12	remains	remain	VERB
cana-1232	85	13	a	a	DET
cana-1232	85	14	significant	significant	ADJ
cana-1232	85	15	challenge	challenge	NOUN
cana-1232	85	16	.	.	PUNCT
cana-1232	86	1	traditional	traditional	ADJ
cana-1232	86	2	methods	method	NOUN
cana-1232	86	3	like	like	ADP
cana-1232	86	4	gaussian	gaussian	ADJ
cana-1232	86	5	and	and	CCONJ
cana-1232	86	6	median	median	ADJ
cana-1232	86	7	filtering	filtering	NOUN
cana-1232	86	8	focus	focus	NOUN
cana-1232	86	9	on	on	ADP
cana-1232	86	10	noise	noise	NOUN
cana-1232	86	11	reduction	reduction	NOUN
cana-1232	86	12	but	but	CCONJ
cana-1232	86	13	often	often	ADV
cana-1232	86	14	blur	blur	VERB
cana-1232	86	15	important	important	ADJ
cana-1232	86	16	image	image	NOUN
cana-1232	86	17	details	detail	NOUN
cana-1232	86	18	.	.	PUNCT
cana-1232	87	1	these	these	DET
cana-1232	87	2	methods	method	NOUN
cana-1232	87	3	use	use	VERB
cana-1232	87	4	fixed	fix	VERB
cana-1232	87	5	filters	filter	NOUN
cana-1232	87	6	that	that	PRON
cana-1232	87	7	do	do	AUX
cana-1232	87	8	not	not	PART
cana-1232	87	9	adapt	adapt	VERB
cana-1232	87	10	to	to	ADP
cana-1232	87	11	local	local	ADJ
cana-1232	87	12	image	image	NOUN
cana-1232	87	13	characteristics	characteristic	NOUN
cana-1232	87	14	,	,	PUNCT
cana-1232	87	15	leading	lead	VERB
cana-1232	87	16	to	to	ADP
cana-1232	87	17	inadequate	inadequate	ADJ
cana-1232	87	18	preservation	preservation	NOUN
cana-1232	87	19	of	of	ADP
cana-1232	87	20	fine	fine	ADJ
cana-1232	87	21	textures	texture	NOUN
cana-1232	87	22	.	.	PUNCT
cana-1232	88	1	recent	recent	ADJ
cana-1232	88	2	advancements	advancement	NOUN
cana-1232	88	3	in	in	ADP
cana-1232	88	4	deep	deep	ADJ
cana-1232	88	5	learning	learning	NOUN
cana-1232	88	6	have	have	AUX
cana-1232	88	7	transformed	transform	VERB
cana-1232	88	8	image	image	NOUN
cana-1232	88	9	restoration	restoration	NOUN
cana-1232	88	10	by	by	ADP
cana-1232	88	11	using	use	VERB
cana-1232	88	12	convolutional	convolutional	ADJ
cana-1232	88	13	neuronal	neuronal	ADJ
cana-1232	88	14	networks	network	NOUN
cana-1232	88	15	(	(	PUNCT
cana-1232	88	16	cnns	cnns	PROPN
cana-1232	88	17	)	)	PUNCT
cana-1232	88	18	are	be	AUX
cana-1232	88	19	used	use	VERB
cana-1232	88	20	to	to	PART
cana-1232	88	21	determine	determine	VERB
cana-1232	88	22	the	the	DET
cana-1232	88	23	link	link	NOUN
cana-1232	88	24	between	between	ADP
cana-1232	88	25	messy	messy	ADJ
cana-1232	88	26	and	and	CCONJ
cana-1232	88	27	clean	clean	ADJ
cana-1232	88	28	images	image	NOUN
cana-1232	88	29	.	.	PUNCT
cana-1232	89	1	despite	despite	SCONJ
cana-1232	89	2	these	these	DET
cana-1232	89	3	approaches	approach	NOUN
cana-1232	89	4	are	be	AUX
cana-1232	89	5	effective	effective	ADJ
cana-1232	89	6	at	at	ADP
cana-1232	89	7	reducing	reduce	VERB
cana-1232	89	8	noise	noise	NOUN
cana-1232	89	9	,	,	PUNCT
cana-1232	89	10	they	they	PRON
cana-1232	89	11	often	often	ADV
cana-1232	89	12	struggle	struggle	VERB
cana-1232	89	13	to	to	PART
cana-1232	89	14	maintain	maintain	VERB
cana-1232	89	15	intricate	intricate	ADJ
cana-1232	89	16	details	detail	NOUN
cana-1232	89	17	due	due	ADP
cana-1232	89	18	to	to	ADP
cana-1232	89	19	loss	loss	NOUN
cana-1232	89	20	functions	function	NOUN
cana-1232	89	21	that	that	PRON
cana-1232	89	22	prioritize	prioritize	VERB
cana-1232	89	23	pixel	pixel	ADJ
cana-1232	89	24	-	-	PUNCT
cana-1232	89	25	level	level	NOUN
cana-1232	89	26	similarity	similarity	NOUN
cana-1232	89	27	,	,	PUNCT
cana-1232	89	28	potentially	potentially	ADV
cana-1232	89	29	losing	lose	VERB
cana-1232	89	30	high	high	ADJ
cana-1232	89	31	-	-	PUNCT
cana-1232	89	32	frequency	frequency	NOUN
cana-1232	89	33	information	information	NOUN
cana-1232	89	34	.	.	PUNCT
cana-1232	90	1	moreover	moreover	ADV
cana-1232	90	2	,	,	PUNCT
cana-1232	90	3	existing	exist	VERB
cana-1232	90	4	systems	system	NOUN
cana-1232	90	5	that	that	PRON
cana-1232	90	6	include	include	VERB
cana-1232	90	7	regularization	regularization	NOUN
cana-1232	90	8	terms	term	NOUN
cana-1232	90	9	to	to	PART
cana-1232	90	10	encourage	encourage	VERB
cana-1232	90	11	texture	texture	ADJ
cana-1232	90	12	preservation	preservation	NOUN
cana-1232	90	13	often	often	ADV
cana-1232	90	14	lack	lack	VERB
cana-1232	90	15	flexibility	flexibility	NOUN
cana-1232	90	16	across	across	ADP
cana-1232	90	17	different	different	ADJ
cana-1232	90	18	image	image	NOUN
cana-1232	90	19	types	type	NOUN
cana-1232	90	20	and	and	CCONJ
cana-1232	90	21	noise	noise	NOUN
cana-1232	90	22	levels	level	NOUN
cana-1232	90	23	.	.	PUNCT
cana-1232	91	1	this	this	DET
cana-1232	91	2	limitation	limitation	NOUN
cana-1232	91	3	reduces	reduce	VERB
cana-1232	91	4	their	their	PRON
cana-1232	91	5	ability	ability	NOUN
cana-1232	91	6	to	to	PART
cana-1232	91	7	achieve	achieve	VERB
cana-1232	91	8	optimal	optimal	ADJ
cana-1232	91	9	noise	noise	NOUN
cana-1232	91	10	reduction	reduction	NOUN
cana-1232	91	11	and	and	CCONJ
cana-1232	91	12	texture	texture	ADJ
cana-1232	91	13	preservation	preservation	NOUN
cana-1232	91	14	in	in	ADP
cana-1232	91	15	various	various	ADJ
cana-1232	91	16	scenarios	scenario	NOUN
cana-1232	91	17	.	.	PUNCT
cana-1232	92	1	disadvantages	disadvantage	NOUN
cana-1232	92	2	despite	despite	SCONJ
cana-1232	92	3	progress	progress	NOUN
cana-1232	92	4	,	,	PUNCT
cana-1232	92	5	current	current	ADJ
cana-1232	92	6	image	image	NOUN
cana-1232	92	7	restoration	restoration	NOUN
cana-1232	92	8	techniques	technique	NOUN
cana-1232	92	9	have	have	VERB
cana-1232	92	10	several	several	ADJ
cana-1232	92	11	drawbacks	drawback	NOUN
cana-1232	92	12	:	:	PUNCT
cana-1232	92	13	limited	limited	ADJ
cana-1232	92	14	adaptability	adaptability	NOUN
cana-1232	92	15	:	:	PUNCT
cana-1232	92	16	many	many	ADJ
cana-1232	92	17	methods	method	NOUN
cana-1232	92	18	use	use	VERB
cana-1232	92	19	fixed	fix	VERB
cana-1232	92	20	models	model	NOUN
cana-1232	92	21	or	or	CCONJ
cana-1232	92	22	filters	filter	NOUN
cana-1232	92	23	that	that	PRON
cana-1232	92	24	do	do	AUX
cana-1232	92	25	not	not	PART
cana-1232	92	26	adapt	adapt	VERB
cana-1232	92	27	well	well	ADV
cana-1232	92	28	to	to	ADP
cana-1232	92	29	different	different	ADJ
cana-1232	92	30	image	image	NOUN
cana-1232	92	31	characteristics	characteristic	NOUN
cana-1232	92	32	or	or	CCONJ
cana-1232	92	33	noise	noise	NOUN
cana-1232	92	34	levels	level	NOUN
cana-1232	92	35	,	,	PUNCT
cana-1232	92	36	resulting	result	VERB
cana-1232	92	37	in	in	ADP
cana-1232	92	38	subpar	subpar	ADJ
cana-1232	92	39	performance	performance	NOUN
cana-1232	92	40	,	,	PUNCT
cana-1232	92	41	particularly	particularly	ADV
cana-1232	92	42	in	in	ADP
cana-1232	92	43	preserving	preserve	VERB
cana-1232	92	44	fine	fine	ADJ
cana-1232	92	45	textures	texture	NOUN
cana-1232	92	46	.	.	PUNCT
cana-1232	93	1	trade	trade	NOUN
cana-1232	93	2	-	-	PUNCT
cana-1232	93	3	off	off	NOUN
cana-1232	93	4	between	between	ADP
cana-1232	93	5	noise	noise	NOUN
cana-1232	93	6	reduction	reduction	NOUN
cana-1232	93	7	and	and	CCONJ
cana-1232	93	8	texture	texture	ADJ
cana-1232	93	9	preservation	preservation	NOUN
cana-1232	93	10	:	:	PUNCT
cana-1232	93	11	traditional	traditional	ADJ
cana-1232	93	12	methods	method	NOUN
cana-1232	93	13	may	may	AUX
cana-1232	93	14	sacrifice	sacrifice	VERB
cana-1232	93	15	image	image	NOUN
cana-1232	93	16	details	detail	NOUN
cana-1232	93	17	for	for	ADP
cana-1232	93	18	noise	noise	NOUN
cana-1232	93	19	reduction	reduction	NOUN
cana-1232	93	20	,	,	PUNCT
cana-1232	93	21	while	while	SCONJ
cana-1232	93	22	deep	deep	ADJ
cana-1232	93	23	learning	learning	NOUN
cana-1232	93	24	approaches	approach	NOUN
cana-1232	93	25	face	face	VERB
cana-1232	93	26	challenges	challenge	NOUN
cana-1232	93	27	in	in	ADP
cana-1232	93	28	balancing	balance	VERB
cana-1232	93	29	noise	noise	NOUN
cana-1232	93	30	reduction	reduction	NOUN
cana-1232	93	31	with	with	ADP
cana-1232	93	32	texture	texture	ADJ
cana-1232	93	33	preservation	preservation	NOUN
cana-1232	93	34	due	due	ADP
cana-1232	93	35	to	to	ADP
cana-1232	93	36	loss	loss	NOUN
cana-1232	93	37	functions	function	NOUN
cana-1232	93	38	that	that	PRON
cana-1232	93	39	prioritize	prioritize	VERB
cana-1232	93	40	pixel	pixel	ADJ
cana-1232	93	41	-	-	PUNCT
cana-1232	93	42	level	level	NOUN
cana-1232	93	43	similarity	similarity	NOUN
cana-1232	93	44	.	.	PUNCT
cana-1232	94	1	limited	limited	ADJ
cana-1232	94	2	interpreting	interpreting	NOUN
cana-1232	94	3	:	:	PUNCT
cana-1232	94	4	deep	deep	ADJ
cana-1232	94	5	neural	neural	ADJ
cana-1232	94	6	network	network	NOUN
cana-1232	94	7	frameworks	framework	NOUN
cana-1232	94	8	are	be	AUX
cana-1232	94	9	frequently	frequently	ADV
cana-1232	94	10	opaque	opaque	ADJ
cana-1232	94	11	,	,	PUNCT
cana-1232	94	12	making	make	VERB
cana-1232	94	13	them	they	PRON
cana-1232	94	14	challenging	challenge	VERB
cana-1232	94	15	to	to	PART
cana-1232	94	16	grasp	grasp	VERB
cana-1232	94	17	their	their	PRON
cana-1232	94	18	decision	decision	NOUN
cana-1232	94	19	-	-	PUNCT
cana-1232	94	20	making	make	VERB
cana-1232	94	21	process	process	NOUN
cana-1232	94	22	regarding	regard	VERB
cana-1232	94	23	which	which	DET
cana-1232	94	24	details	detail	NOUN
cana-1232	94	25	to	to	PART
cana-1232	94	26	preserve	preserve	VERB
cana-1232	94	27	or	or	CCONJ
cana-1232	94	28	discard	discard	VERB
cana-1232	94	29	during	during	ADP
cana-1232	94	30	restoration	restoration	NOUN
cana-1232	94	31	.	.	PUNCT
cana-1232	95	1	computational	computational	ADJ
cana-1232	95	2	complexity	complexity	NOUN
cana-1232	95	3	:	:	PUNCT
cana-1232	95	4	models	model	NOUN
cana-1232	95	5	based	base	VERB
cana-1232	95	6	on	on	ADP
cana-1232	95	7	deep	deep	ADJ
cana-1232	95	8	learning	learning	NOUN
cana-1232	95	9	can	can	AUX
cana-1232	95	10	be	be	AUX
cana-1232	95	11	intensive	intensive	ADJ
cana-1232	95	12	to	to	PART
cana-1232	95	13	compute	compute	VERB
cana-1232	95	14	,	,	PUNCT
cana-1232	95	15	which	which	PRON
cana-1232	95	16	limits	limit	VERB
cana-1232	95	17	their	their	PRON
cana-1232	95	18	use	use	NOUN
cana-1232	95	19	in	in	ADP
cana-1232	95	20	real	real	ADJ
cana-1232	95	21	-	-	PUNCT
cana-1232	95	22	time	time	NOUN
cana-1232	95	23	or	or	CCONJ
cana-1232	95	24	constrained	constrain	VERB
cana-1232	95	25	by	by	ADP
cana-1232	95	26	resources	resource	NOUN
cana-1232	95	27	applications	application	NOUN
cana-1232	95	28	handling	handle	VERB
cana-1232	95	29	complex	complex	ADJ
cana-1232	95	30	noise	noise	NOUN
cana-1232	95	31	patterns	pattern	NOUN
cana-1232	95	32	:	:	PUNCT
cana-1232	95	33	existing	exist	VERB
cana-1232	95	34	systems	system	NOUN
cana-1232	95	35	may	may	AUX
cana-1232	95	36	struggle	struggle	VERB
cana-1232	95	37	with	with	ADP
cana-1232	95	38	non	non	ADJ
cana-1232	95	39	-	-	ADJ
cana-1232	95	40	gaussian	gaussian	ADJ
cana-1232	95	41	or	or	CCONJ
cana-1232	95	42	spatially	spatially	ADV
cana-1232	95	43	varying	vary	VERB
cana-1232	95	44	noise	noise	NOUN
cana-1232	95	45	patterns	pattern	NOUN
cana-1232	95	46	,	,	PUNCT
cana-1232	95	47	reducing	reduce	VERB
cana-1232	95	48	their	their	PRON
cana-1232	95	49	effectiveness	effectiveness	NOUN
cana-1232	95	50	in	in	ADP
cana-1232	95	51	challenging	challenging	ADJ
cana-1232	95	52	noise	noise	NOUN
cana-1232	95	53	scenarios	scenario	NOUN
cana-1232	95	54	.	.	PUNCT
cana-1232	96	1	4	4	X
cana-1232	96	2	.	.	NUM
cana-1232	96	3	proposed	propose	VERB
cana-1232	96	4	fidelity	fidelity	NOUN
cana-1232	96	5	-	-	PUNCT
cana-1232	96	6	guided	guide	VERB
cana-1232	96	7	restoration	restoration	NOUN
cana-1232	96	8	(	(	PUNCT
cana-1232	96	9	fgr	fgr	NOUN
cana-1232	96	10	)	)	PUNCT
cana-1232	96	11	system	system	NOUN
cana-1232	96	12	the	the	DET
cana-1232	96	13	proposed	propose	VERB
cana-1232	96	14	fidelity	fidelity	NOUN
cana-1232	96	15	-	-	PUNCT
cana-1232	96	16	guided	guide	VERB
cana-1232	96	17	restoration	restoration	NOUN
cana-1232	96	18	(	(	PUNCT
cana-1232	96	19	fgr	fgr	NOUN
cana-1232	96	20	)	)	PUNCT
cana-1232	96	21	system	system	NOUN
cana-1232	96	22	introduces	introduce	VERB
cana-1232	96	23	an	an	DET
cana-1232	96	24	innovative	innovative	ADJ
cana-1232	96	25	approach	approach	NOUN
cana-1232	96	26	to	to	PART
cana-1232	96	27	address	address	VERB
cana-1232	96	28	the	the	DET
cana-1232	96	29	limitations	limitation	NOUN
cana-1232	96	30	of	of	ADP
cana-1232	96	31	existing	exist	VERB
cana-1232	96	32	image	image	NOUN
cana-1232	96	33	restoration	restoration	NOUN
cana-1232	96	34	techniques	technique	NOUN
cana-1232	96	35	by	by	ADP
cana-1232	96	36	achieving	achieve	VERB
cana-1232	96	37	a	a	DET
cana-1232	96	38	balance	balance	NOUN
cana-1232	96	39	between	between	ADP
cana-1232	96	40	noise	noise	NOUN
cana-1232	96	41	reduction	reduction	NOUN
cana-1232	96	42	and	and	CCONJ
cana-1232	96	43	texture	texture	NOUN
cana-1232	96	44	preservation	preservation	NOUN
cana-1232	96	45	.	.	PUNCT
cana-1232	97	1	fgr	fgr	PROPN
cana-1232	97	2	employs	employ	VERB
cana-1232	97	3	fidelity	fidelity	NOUN
cana-1232	97	4	regularization	regularization	NOUN
cana-1232	97	5	and	and	CCONJ
cana-1232	97	6	advanced	advanced	ADJ
cana-1232	97	7	deep	deep	ADJ
cana-1232	97	8	learning	learning	NOUN
cana-1232	97	9	methods	method	NOUN
cana-1232	97	10	to	to	PART
cana-1232	97	11	deliver	deliver	VERB
cana-1232	97	12	superior	superior	ADJ
cana-1232	97	13	restoration	restoration	NOUN
cana-1232	97	14	results	result	NOUN
cana-1232	97	15	.	.	PUNCT
cana-1232	98	1	communications	communication	NOUN
cana-1232	98	2	on	on	ADP
cana-1232	98	3	applied	apply	VERB
cana-1232	98	4	nonlinear	nonlinear	ADJ
cana-1232	98	5	analysis	analysis	NOUN
cana-1232	98	6	issn	issn	NOUN
cana-1232	98	7	:	:	PUNCT
cana-1232	98	8	1074	1074	NUM
cana-1232	98	9	-	-	PUNCT
cana-1232	98	10	133x	133x	NUM
cana-1232	98	11	vol	vol	NOUN
cana-1232	98	12	31	31	NUM
cana-1232	98	13	no	no	NOUN
cana-1232	98	14	.	.	PUNCT
cana-1232	99	1	6s	6s	NUM
cana-1232	99	2	(	(	PUNCT
cana-1232	99	3	2024	2024	NUM
cana-1232	99	4	)	)	PUNCT
cana-1232	99	5	406	406	NUM
cana-1232	99	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	99	7	key	key	ADJ
cana-1232	99	8	components	component	NOUN
cana-1232	99	9	of	of	ADP
cana-1232	99	10	the	the	DET
cana-1232	99	11	fgr	fgr	PROPN
cana-1232	99	12	system	system	NOUN
cana-1232	99	13	fidelity	fidelity	PROPN
cana-1232	99	14	regularization	regularization	NOUN
cana-1232	99	15	fgr	fgr	PROPN
cana-1232	99	16	incorporates	incorporate	VERB
cana-1232	99	17	fidelity	fidelity	PROPN
cana-1232	99	18	regularization	regularization	NOUN
cana-1232	99	19	to	to	PART
cana-1232	99	20	guide	guide	VERB
cana-1232	99	21	the	the	DET
cana-1232	99	22	restoration	restoration	NOUN
cana-1232	99	23	process	process	NOUN
cana-1232	99	24	.	.	PUNCT
cana-1232	100	1	by	by	ADP
cana-1232	100	2	explicitly	explicitly	ADV
cana-1232	100	3	considering	consider	VERB
cana-1232	100	4	the	the	DET
cana-1232	100	5	fidelity	fidelity	NOUN
cana-1232	100	6	between	between	ADP
cana-1232	100	7	the	the	DET
cana-1232	100	8	restored	restore	VERB
cana-1232	100	9	image	image	NOUN
cana-1232	100	10	and	and	CCONJ
cana-1232	100	11	the	the	DET
cana-1232	100	12	degraded	degraded	ADJ
cana-1232	100	13	input	input	NOUN
cana-1232	100	14	,	,	PUNCT
cana-1232	100	15	this	this	DET
cana-1232	100	16	approach	approach	NOUN
cana-1232	100	17	ensures	ensure	VERB
cana-1232	100	18	the	the	DET
cana-1232	100	19	preservation	preservation	NOUN
cana-1232	100	20	of	of	ADP
cana-1232	100	21	crucial	crucial	ADJ
cana-1232	100	22	image	image	NOUN
cana-1232	100	23	details	detail	NOUN
cana-1232	100	24	and	and	CCONJ
cana-1232	100	25	textures	texture	NOUN
cana-1232	100	26	.	.	PUNCT
cana-1232	101	1	this	this	DET
cana-1232	101	2	technique	technique	NOUN
cana-1232	101	3	encourages	encourage	VERB
cana-1232	101	4	the	the	DET
cana-1232	101	5	restoration	restoration	NOUN
cana-1232	101	6	algorithm	algorithm	NOUN
cana-1232	101	7	to	to	PART
cana-1232	101	8	reduce	reduce	VERB
cana-1232	101	9	noise	noise	NOUN
cana-1232	101	10	while	while	SCONJ
cana-1232	101	11	maintaining	maintain	VERB
cana-1232	101	12	similarity	similarity	NOUN
cana-1232	101	13	with	with	ADP
cana-1232	101	14	the	the	DET
cana-1232	101	15	degraded	degraded	ADJ
cana-1232	101	16	image	image	NOUN
cana-1232	101	17	in	in	ADP
cana-1232	101	18	areas	area	NOUN
cana-1232	101	19	containing	contain	VERB
cana-1232	101	20	fine	fine	ADJ
cana-1232	101	21	details	detail	NOUN
cana-1232	101	22	,	,	PUNCT
cana-1232	101	23	striking	strike	VERB
cana-1232	101	24	a	a	DET
cana-1232	101	25	delicate	delicate	ADJ
cana-1232	101	26	balance	balance	NOUN
cana-1232	101	27	between	between	ADP
cana-1232	101	28	noise	noise	NOUN
cana-1232	101	29	reduction	reduction	NOUN
cana-1232	101	30	and	and	CCONJ
cana-1232	101	31	texture	texture	NOUN
cana-1232	101	32	preservation	preservation	NOUN
cana-1232	101	33	.	.	PUNCT
cana-1232	102	1	deep	deep	ADJ
cana-1232	102	2	learning	learning	NOUN
cana-1232	102	3	-	-	PUNCT
cana-1232	102	4	based	base	VERB
cana-1232	102	5	approach	approach	NOUN
cana-1232	102	6	the	the	DET
cana-1232	102	7	fgr	fgr	PROPN
cana-1232	102	8	system	system	NOUN
cana-1232	102	9	utilizes	utilize	VERB
cana-1232	102	10	a	a	DET
cana-1232	102	11	convolutional	convolutional	ADJ
cana-1232	102	12	neural	neural	ADJ
cana-1232	102	13	network	network	NOUN
cana-1232	102	14	(	(	PUNCT
cana-1232	102	15	cnn	cnn	PROPN
cana-1232	102	16	)	)	PUNCT
cana-1232	102	17	framework	framework	NOUN
cana-1232	102	18	for	for	ADP
cana-1232	102	19	deep	deep	ADJ
cana-1232	102	20	learning	learning	NOUN
cana-1232	102	21	.	.	PUNCT
cana-1232	103	1	cnns	cnns	PROPN
cana-1232	103	2	are	be	AUX
cana-1232	103	3	effective	effective	ADJ
cana-1232	103	4	at	at	ADP
cana-1232	103	5	capturing	capture	VERB
cana-1232	103	6	both	both	PRON
cana-1232	103	7	highest	high	ADJ
cana-1232	103	8	-	-	PUNCT
cana-1232	103	9	level	level	NOUN
cana-1232	103	10	features	feature	NOUN
cana-1232	103	11	,	,	PUNCT
cana-1232	103	12	such	such	ADJ
cana-1232	103	13	as	as	ADP
cana-1232	103	14	edges	edge	NOUN
cana-1232	103	15	,	,	PUNCT
cana-1232	103	16	and	and	CCONJ
cana-1232	103	17	lowest	low	ADJ
cana-1232	103	18	-	-	PUNCT
cana-1232	103	19	level	level	NOUN
cana-1232	103	20	characteristics	characteristic	NOUN
cana-1232	103	21	,	,	PUNCT
cana-1232	103	22	which	which	PRON
cana-1232	103	23	are	be	AUX
cana-1232	103	24	essential	essential	ADJ
cana-1232	103	25	for	for	ADP
cana-1232	103	26	learning	learn	VERB
cana-1232	103	27	complex	complex	ADJ
cana-1232	103	28	patterns	pattern	NOUN
cana-1232	103	29	and	and	CCONJ
cana-1232	103	30	textures	texture	NOUN
cana-1232	103	31	in	in	ADP
cana-1232	103	32	images	image	NOUN
cana-1232	103	33	.	.	PUNCT
cana-1232	104	1	this	this	DET
cana-1232	104	2	deep	deep	ADJ
cana-1232	104	3	learning	learning	NOUN
cana-1232	104	4	approach	approach	NOUN
cana-1232	104	5	enhances	enhance	VERB
cana-1232	104	6	the	the	DET
cana-1232	104	7	system	system	NOUN
cana-1232	104	8	's	's	PART
cana-1232	104	9	ability	ability	NOUN
cana-1232	104	10	to	to	PART
cana-1232	104	11	preserve	preserve	VERB
cana-1232	104	12	fine	fine	ADJ
cana-1232	104	13	details	detail	NOUN
cana-1232	104	14	and	and	CCONJ
cana-1232	104	15	intricate	intricate	ADJ
cana-1232	104	16	textures	texture	NOUN
cana-1232	104	17	during	during	ADP
cana-1232	104	18	the	the	DET
cana-1232	104	19	restoration	restoration	NOUN
cana-1232	104	20	process	process	NOUN
cana-1232	104	21	.	.	PUNCT
cana-1232	105	1	perceptual	perceptual	ADJ
cana-1232	105	2	loss	loss	NOUN
cana-1232	105	3	functions	function	NOUN
cana-1232	105	4	fgr	fgr	X
cana-1232	105	5	integrates	integrate	VERB
cana-1232	105	6	perceptual	perceptual	ADJ
cana-1232	105	7	loss	loss	NOUN
cana-1232	105	8	functions	function	NOUN
cana-1232	105	9	into	into	ADP
cana-1232	105	10	the	the	DET
cana-1232	105	11	training	training	NOUN
cana-1232	105	12	process	process	NOUN
cana-1232	105	13	to	to	PART
cana-1232	105	14	guide	guide	VERB
cana-1232	105	15	restoration	restoration	NOUN
cana-1232	105	16	towards	towards	ADP
cana-1232	105	17	visually	visually	ADV
cana-1232	105	18	appealing	appealing	ADJ
cana-1232	105	19	results	result	NOUN
cana-1232	105	20	.	.	PUNCT
cana-1232	106	1	unlike	unlike	ADP
cana-1232	106	2	traditional	traditional	ADJ
cana-1232	106	3	pixel	pixel	ADJ
cana-1232	106	4	-	-	PUNCT
cana-1232	106	5	level	level	NOUN
cana-1232	106	6	similarity	similarity	NOUN
cana-1232	106	7	metrics	metric	NOUN
cana-1232	106	8	,	,	PUNCT
cana-1232	106	9	perceptual	perceptual	ADJ
cana-1232	106	10	loss	loss	NOUN
cana-1232	106	11	functions	function	NOUN
cana-1232	106	12	focus	focus	VERB
cana-1232	106	13	on	on	ADP
cana-1232	106	14	higher	high	ADJ
cana-1232	106	15	-	-	PUNCT
cana-1232	106	16	level	level	NOUN
cana-1232	106	17	features	feature	NOUN
cana-1232	106	18	such	such	ADJ
cana-1232	106	19	as	as	ADP
cana-1232	106	20	texture	texture	NOUN
cana-1232	106	21	and	and	CCONJ
cana-1232	106	22	structure	structure	NOUN
cana-1232	106	23	.	.	PUNCT
cana-1232	107	1	by	by	ADP
cana-1232	107	2	emphasizing	emphasize	VERB
cana-1232	107	3	the	the	DET
cana-1232	107	4	preservation	preservation	NOUN
cana-1232	107	5	of	of	ADP
cana-1232	107	6	these	these	DET
cana-1232	107	7	critical	critical	ADJ
cana-1232	107	8	visual	visual	ADJ
cana-1232	107	9	elements	element	NOUN
cana-1232	107	10	,	,	PUNCT
cana-1232	107	11	perceptual	perceptual	ADJ
cana-1232	107	12	loss	loss	NOUN
cana-1232	107	13	functions	function	NOUN
cana-1232	107	14	significantly	significantly	ADV
cana-1232	107	15	improve	improve	VERB
cana-1232	107	16	restoration	restoration	NOUN
cana-1232	107	17	outcomes	outcome	NOUN
cana-1232	107	18	,	,	PUNCT
cana-1232	107	19	ensuring	ensure	VERB
cana-1232	107	20	better	well	ADJ
cana-1232	107	21	texture	texture	ADJ
cana-1232	107	22	preservation	preservation	NOUN
cana-1232	107	23	.	.	PUNCT
cana-1232	108	1	adaptability	adaptability	NOUN
cana-1232	108	2	and	and	CCONJ
cana-1232	108	3	interpretability	interpretability	NOUN
cana-1232	108	4	the	the	DET
cana-1232	108	5	fgr	fgr	NOUN
cana-1232	108	6	system	system	NOUN
cana-1232	108	7	is	be	AUX
cana-1232	108	8	designed	design	VERB
cana-1232	108	9	to	to	PART
cana-1232	108	10	be	be	AUX
cana-1232	108	11	both	both	CCONJ
cana-1232	108	12	adaptable	adaptable	ADJ
cana-1232	108	13	and	and	CCONJ
cana-1232	108	14	interpretable	interpretable	ADJ
cana-1232	108	15	.	.	PUNCT
cana-1232	109	1	it	it	PRON
cana-1232	109	2	can	can	AUX
cana-1232	109	3	be	be	AUX
cana-1232	109	4	trained	train	VERB
cana-1232	109	5	on	on	ADP
cana-1232	109	6	diverse	diverse	ADJ
cana-1232	109	7	datasets	dataset	NOUN
cana-1232	109	8	with	with	ADP
cana-1232	109	9	varying	vary	VERB
cana-1232	109	10	noise	noise	NOUN
cana-1232	109	11	characteristics	characteristic	NOUN
cana-1232	109	12	,	,	PUNCT
cana-1232	109	13	allowing	allow	VERB
cana-1232	109	14	it	it	PRON
cana-1232	109	15	to	to	PART
cana-1232	109	16	handle	handle	VERB
cana-1232	109	17	different	different	ADJ
cana-1232	109	18	types	type	NOUN
cana-1232	109	19	of	of	ADP
cana-1232	109	20	images	image	NOUN
cana-1232	109	21	and	and	CCONJ
cana-1232	109	22	noise	noise	NOUN
cana-1232	109	23	patterns	pattern	NOUN
cana-1232	109	24	effectively	effectively	ADV
cana-1232	109	25	.	.	PUNCT
cana-1232	110	1	additionally	additionally	ADV
cana-1232	110	2	,	,	PUNCT
cana-1232	110	3	the	the	DET
cana-1232	110	4	system	system	NOUN
cana-1232	110	5	's	's	PART
cana-1232	110	6	architecture	architecture	NOUN
cana-1232	110	7	and	and	CCONJ
cana-1232	110	8	regularization	regularization	NOUN
cana-1232	110	9	techniques	technique	NOUN
cana-1232	110	10	enhance	enhance	VERB
cana-1232	110	11	interpretability	interpretability	NOUN
cana-1232	110	12	,	,	PUNCT
cana-1232	110	13	enabling	enable	VERB
cana-1232	110	14	users	user	NOUN
cana-1232	110	15	to	to	PART
cana-1232	110	16	understand	understand	VERB
cana-1232	110	17	the	the	DET
cana-1232	110	18	restoration	restoration	NOUN
cana-1232	110	19	algorithm	algorithm	NOUN
cana-1232	110	20	's	's	PART
cana-1232	110	21	decision	decision	NOUN
cana-1232	110	22	-	-	PUNCT
cana-1232	110	23	making	make	VERB
cana-1232	110	24	process	process	NOUN
cana-1232	110	25	.	.	PUNCT
cana-1232	111	1	this	this	DET
cana-1232	111	2	transparency	transparency	NOUN
cana-1232	111	3	allows	allow	VERB
cana-1232	111	4	for	for	ADP
cana-1232	111	5	customization	customization	NOUN
cana-1232	111	6	of	of	ADP
cana-1232	111	7	the	the	DET
cana-1232	111	8	restoration	restoration	NOUN
cana-1232	111	9	process	process	NOUN
cana-1232	111	10	based	base	VERB
cana-1232	111	11	on	on	ADP
cana-1232	111	12	specific	specific	ADJ
cana-1232	111	13	requirements	requirement	NOUN
cana-1232	111	14	or	or	CCONJ
cana-1232	111	15	domain	domain	NOUN
cana-1232	111	16	knowledge	knowledge	NOUN
cana-1232	111	17	.	.	PUNCT
cana-1232	112	1	efficiency	efficiency	NOUN
cana-1232	112	2	and	and	CCONJ
cana-1232	112	3	scalability	scalability	NOUN
cana-1232	112	4	fgr	fgr	PROPN
cana-1232	112	5	balances	balance	VERB
cana-1232	112	6	restoration	restoration	NOUN
cana-1232	112	7	performance	performance	NOUN
cana-1232	112	8	with	with	ADP
cana-1232	112	9	computational	computational	ADJ
cana-1232	112	10	efficiency	efficiency	NOUN
cana-1232	112	11	.	.	PUNCT
cana-1232	113	1	its	its	PRON
cana-1232	113	2	architecture	architecture	NOUN
cana-1232	113	3	is	be	AUX
cana-1232	113	4	optimized	optimize	VERB
cana-1232	113	5	for	for	ADP
cana-1232	113	6	computation	computation	NOUN
cana-1232	113	7	while	while	SCONJ
cana-1232	113	8	maintaining	maintain	VERB
cana-1232	113	9	high	high	ADJ
cana-1232	113	10	-	-	PUNCT
cana-1232	113	11	quality	quality	NOUN
cana-1232	113	12	restoration	restoration	NOUN
cana-1232	113	13	results	result	NOUN
cana-1232	113	14	,	,	PUNCT
cana-1232	113	15	making	make	VERB
cana-1232	113	16	it	it	PRON
cana-1232	113	17	suitable	suitable	ADJ
cana-1232	113	18	for	for	ADP
cana-1232	113	19	real	real	ADJ
cana-1232	113	20	-	-	PUNCT
cana-1232	113	21	time	time	NOUN
cana-1232	113	22	or	or	CCONJ
cana-1232	113	23	resource	resource	NOUN
cana-1232	113	24	-	-	PUNCT
cana-1232	113	25	constrained	constrain	VERB
cana-1232	113	26	environments	environment	NOUN
cana-1232	113	27	.	.	PUNCT
cana-1232	114	1	furthermore	furthermore	ADV
cana-1232	114	2	,	,	PUNCT
cana-1232	114	3	the	the	DET
cana-1232	114	4	system	system	NOUN
cana-1232	114	5	is	be	AUX
cana-1232	114	6	scalable	scalable	ADJ
cana-1232	114	7	,	,	PUNCT
cana-1232	114	8	capable	capable	ADJ
cana-1232	114	9	of	of	ADP
cana-1232	114	10	handling	handle	VERB
cana-1232	114	11	largescale	largescale	NOUN
cana-1232	114	12	datasets	dataset	NOUN
cana-1232	114	13	and	and	CCONJ
cana-1232	114	14	diverse	diverse	ADJ
cana-1232	114	15	restoration	restoration	NOUN
cana-1232	114	16	tasks	task	NOUN
cana-1232	114	17	,	,	PUNCT
cana-1232	114	18	ensuring	ensure	VERB
cana-1232	114	19	versatility	versatility	NOUN
cana-1232	114	20	in	in	ADP
cana-1232	114	21	various	various	ADJ
cana-1232	114	22	image	image	NOUN
cana-1232	114	23	restoration	restoration	NOUN
cana-1232	114	24	applications	application	NOUN
cana-1232	114	25	.	.	PUNCT
cana-1232	115	1	advantages	advantage	NOUN
cana-1232	115	2	of	of	ADP
cana-1232	115	3	fgr	fgr	PROPN
cana-1232	115	4	enhanced	enhance	VERB
cana-1232	115	5	texture	texture	NOUN
cana-1232	115	6	preservation	preservation	NOUN
cana-1232	115	7	fgr	fgr	PROPN
cana-1232	115	8	explicitly	explicitly	ADV
cana-1232	115	9	focuses	focus	VERB
cana-1232	115	10	on	on	ADP
cana-1232	115	11	preserving	preserve	VERB
cana-1232	115	12	important	important	ADJ
cana-1232	115	13	high	high	ADJ
cana-1232	115	14	-	-	PUNCT
cana-1232	115	15	level	level	NOUN
cana-1232	115	16	photographic	photographic	ADJ
cana-1232	115	17	details	detail	NOUN
cana-1232	115	18	and	and	CCONJ
cana-1232	115	19	textures	texture	NOUN
cana-1232	115	20	,	,	PUNCT
cana-1232	115	21	which	which	PRON
cana-1232	115	22	make	make	VERB
cana-1232	115	23	images	image	NOUN
cana-1232	115	24	sharper	sharp	ADJ
cana-1232	115	25	and	and	CCONJ
cana-1232	115	26	more	more	ADV
cana-1232	115	27	attractively	attractively	ADV
cana-1232	115	28	pleasing	pleasing	ADJ
cana-1232	115	29	restoration	restoration	NOUN
cana-1232	115	30	outcomes	outcome	NOUN
cana-1232	115	31	compared	compare	VERB
cana-1232	115	32	to	to	ADP
cana-1232	115	33	traditional	traditional	ADJ
cana-1232	115	34	methods	method	NOUN
cana-1232	115	35	,	,	PUNCT
cana-1232	115	36	which	which	PRON
cana-1232	115	37	may	may	AUX
cana-1232	115	38	blur	blur	VERB
cana-1232	115	39	or	or	CCONJ
cana-1232	115	40	smooth	smooth	VERB
cana-1232	115	41	out	out	ADP
cana-1232	115	42	textures	texture	NOUN
cana-1232	115	43	.	.	PUNCT
cana-1232	116	1	communications	communication	NOUN
cana-1232	116	2	on	on	ADP
cana-1232	116	3	applied	apply	VERB
cana-1232	116	4	nonlinear	nonlinear	ADJ
cana-1232	116	5	analysis	analysis	NOUN
cana-1232	116	6	issn	issn	NOUN
cana-1232	116	7	:	:	PUNCT
cana-1232	116	8	1074	1074	NUM
cana-1232	116	9	-	-	PUNCT
cana-1232	116	10	133x	133x	NUM
cana-1232	116	11	vol	vol	NOUN
cana-1232	116	12	31	31	NUM
cana-1232	116	13	no	no	NOUN
cana-1232	116	14	.	.	PUNCT
cana-1232	117	1	6s	6s	NUM
cana-1232	117	2	(	(	PUNCT
cana-1232	117	3	2024	2024	NUM
cana-1232	117	4	)	)	PUNCT
cana-1232	117	5	407	407	NUM
cana-1232	117	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1232	117	7	improved	improve	VERB
cana-1232	117	8	noise	noise	NOUN
cana-1232	117	9	reduction	reduction	NOUN
cana-1232	117	10	by	by	ADP
cana-1232	117	11	leveraging	leverage	VERB
cana-1232	117	12	cnns	cnn	NOUN
cana-1232	117	13	,	,	PUNCT
cana-1232	117	14	high	high	ADJ
cana-1232	117	15	-	-	PUNCT
cana-1232	117	16	level	level	NOUN
cana-1232	117	17	fgr	fgr	NOUN
cana-1232	117	18	efficiently	efficiently	ADV
cana-1232	117	19	eliminates	eliminate	VERB
cana-1232	117	20	interference	interference	NOUN
cana-1232	117	21	while	while	SCONJ
cana-1232	117	22	keeping	keep	VERB
cana-1232	117	23	details	detail	NOUN
cana-1232	117	24	of	of	ADP
cana-1232	117	25	images	image	NOUN
cana-1232	117	26	and	and	CCONJ
cana-1232	117	27	patterns	pattern	NOUN
cana-1232	117	28	,	,	PUNCT
cana-1232	117	29	outperforming	outperform	VERB
cana-1232	117	30	traditional	traditional	ADJ
cana-1232	117	31	filtering	filter	VERB
cana-1232	117	32	methods	method	NOUN
cana-1232	117	33	.	.	PUNCT
cana-1232	118	1	adaptability	adaptability	NOUN
cana-1232	118	2	to	to	PART
cana-1232	118	3	diverse	diverse	VERB
cana-1232	118	4	image	image	NOUN
cana-1232	118	5	characteristics	characteristic	NOUN
cana-1232	118	6	fgr	fgr	PROPN
cana-1232	118	7	's	's	PART
cana-1232	118	8	adaptability	adaptability	NOUN
cana-1232	118	9	enables	enable	VERB
cana-1232	118	10	it	it	PRON
cana-1232	118	11	to	to	PART
cana-1232	118	12	handle	handle	VERB
cana-1232	118	13	various	various	ADJ
cana-1232	118	14	image	image	NOUN
cana-1232	118	15	types	type	NOUN
cana-1232	118	16	and	and	CCONJ
cana-1232	118	17	noise	noise	NOUN
cana-1232	118	18	patterns	pattern	NOUN
cana-1232	118	19	,	,	PUNCT
cana-1232	118	20	learning	learn	VERB
cana-1232	118	21	and	and	CCONJ
cana-1232	118	22	adapting	adapt	VERB
cana-1232	118	23	from	from	ADP
cana-1232	118	24	diverse	diverse	ADJ
cana-1232	118	25	datasets	dataset	NOUN
cana-1232	118	26	for	for	ADP
cana-1232	118	27	robust	robust	ADJ
cana-1232	118	28	performance	performance	NOUN
cana-1232	118	29	across	across	ADP
cana-1232	118	30	different	different	ADJ
cana-1232	118	31	restoration	restoration	NOUN
cana-1232	118	32	tasks	task	NOUN
cana-1232	118	33	.	.	PUNCT
cana-1232	119	1	interpretability	interpretability	NOUN
cana-1232	119	2	and	and	CCONJ
cana-1232	119	3	customization	customization	NOUN
cana-1232	119	4	the	the	DET
cana-1232	119	5	system	system	NOUN
cana-1232	119	6	provides	provide	VERB
cana-1232	119	7	interpretability	interpretability	NOUN
cana-1232	119	8	,	,	PUNCT
cana-1232	119	9	allowing	allow	VERB
cana-1232	119	10	users	user	NOUN
cana-1232	119	11	to	to	PART
cana-1232	119	12	understand	understand	VERB
cana-1232	119	13	and	and	CCONJ
cana-1232	119	14	customize	customize	VERB
cana-1232	119	15	the	the	DET
cana-1232	119	16	restoration	restoration	NOUN
cana-1232	119	17	process	process	NOUN
cana-1232	119	18	based	base	VERB
cana-1232	119	19	on	on	ADP
cana-1232	119	20	specific	specific	ADJ
cana-1232	119	21	needs	need	NOUN
cana-1232	119	22	or	or	CCONJ
cana-1232	119	23	domain	domain	NOUN
cana-1232	119	24	expertise	expertise	NOUN
cana-1232	119	25	.	.	PUNCT
cana-1232	120	1	efficiency	efficiency	NOUN
cana-1232	120	2	and	and	CCONJ
cana-1232	120	3	scalability	scalability	NOUN
cana-1232	120	4	designed	design	VERB
cana-1232	120	5	for	for	ADP
cana-1232	120	6	efficiency	efficiency	NOUN
cana-1232	120	7	,	,	PUNCT
cana-1232	120	8	fgr	fgr	PROPN
cana-1232	120	9	optimizes	optimize	VERB
cana-1232	120	10	computational	computational	ADJ
cana-1232	120	11	resources	resource	NOUN
cana-1232	120	12	and	and	CCONJ
cana-1232	120	13	scales	scale	VERB
cana-1232	120	14	effectively	effectively	ADV
cana-1232	120	15	to	to	PART
cana-1232	120	16	meet	meet	VERB
cana-1232	120	17	the	the	DET
cana-1232	120	18	demands	demand	NOUN
cana-1232	120	19	of	of	ADP
cana-1232	120	20	different	different	ADJ
cana-1232	120	21	applications	application	NOUN
cana-1232	120	22	and	and	CCONJ
cana-1232	120	23	environments	environment	NOUN
cana-1232	120	24	.	.	PUNCT
cana-1232	121	1	the	the	DET
cana-1232	121	2	fidelity	fidelity	NOUN
cana-1232	121	3	-	-	PUNCT
cana-1232	121	4	guided	guide	VERB
cana-1232	121	5	restoration	restoration	NOUN
cana-1232	121	6	(	(	PUNCT
cana-1232	121	7	fgr	fgr	NOUN
cana-1232	121	8	)	)	PUNCT
cana-1232	121	9	system	system	NOUN
cana-1232	121	10	represents	represent	VERB
cana-1232	121	11	a	a	DET
cana-1232	121	12	significant	significant	ADJ
cana-1232	121	13	advancement	advancement	NOUN
cana-1232	121	14	in	in	ADP
cana-1232	121	15	balancing	balance	VERB
cana-1232	121	16	noise	noise	NOUN
cana-1232	121	17	reduction	reduction	NOUN
cana-1232	121	18	and	and	CCONJ
cana-1232	121	19	texture	texture	ADJ
cana-1232	121	20	preservation	preservation	NOUN
cana-1232	121	21	for	for	ADP
cana-1232	121	22	enhanced	enhanced	ADJ
cana-1232	121	23	image	image	NOUN
cana-1232	121	24	details	detail	NOUN
cana-1232	121	25	.	.	PUNCT
cana-1232	122	1	with	with	ADP
cana-1232	122	2	its	its	PRON
cana-1232	122	3	fidelity	fidelity	PROPN
cana-1232	122	4	regularization	regularization	NOUN
cana-1232	122	5	,	,	PUNCT
cana-1232	122	6	deep	deep	ADJ
cana-1232	122	7	learning	learning	NOUN
cana-1232	122	8	framework	framework	NOUN
cana-1232	122	9	,	,	PUNCT
cana-1232	122	10	perceptual	perceptual	ADJ
cana-1232	122	11	loss	loss	NOUN
cana-1232	122	12	functions	function	NOUN
cana-1232	122	13	,	,	PUNCT
cana-1232	122	14	adaptability	adaptability	NOUN
cana-1232	122	15	,	,	PUNCT
cana-1232	122	16	interpretability	interpretability	NOUN
cana-1232	122	17	,	,	PUNCT
cana-1232	122	18	efficiency	efficiency	NOUN
cana-1232	122	19	,	,	PUNCT
cana-1232	122	20	and	and	CCONJ
cana-1232	122	21	scalability	scalability	NOUN
cana-1232	122	22	,	,	PUNCT
cana-1232	122	23	fgr	fgr	PROPN
cana-1232	122	24	promises	promise	VERB
cana-1232	122	25	to	to	PART
cana-1232	122	26	deliver	deliver	VERB
cana-1232	122	27	high	high	ADJ
cana-1232	122	28	-	-	PUNCT
cana-1232	122	29	quality	quality	NOUN
cana-1232	122	30	image	image	NOUN
cana-1232	122	31	restoration	restoration	NOUN
cana-1232	122	32	results	result	NOUN
cana-1232	122	33	with	with	ADP
cana-1232	122	34	superior	superior	ADJ
cana-1232	122	35	preservation	preservation	NOUN
cana-1232	122	36	of	of	ADP
cana-1232	122	37	fine	fine	ADJ
cana-1232	122	38	details	detail	NOUN
cana-1232	122	39	and	and	CCONJ
cana-1232	122	40	intricate	intricate	ADJ
cana-1232	122	41	textures	texture	NOUN
cana-1232	122	42	.	.	PUNCT
cana-1232	123	1	5	5	X
cana-1232	123	2	.	.	X
cana-1232	123	3	architecture	architecture	NOUN
cana-1232	123	4	the	the	DET
cana-1232	123	5	proposed	propose	VERB
cana-1232	123	6	fidelity	fidelity	NOUN
cana-1232	123	7	-	-	PUNCT
cana-1232	123	8	guided	guide	VERB
cana-1232	123	9	restoration	restoration	NOUN
cana-1232	123	10	(	(	PUNCT
cana-1232	123	11	fgr	fgr	NOUN
cana-1232	123	12	)	)	PUNCT
cana-1232	123	13	architecture	architecture	NOUN
cana-1232	123	14	depicted	depict	VERB
cana-1232	123	15	as	as	ADP
cana-1232	123	16	follows	follow	VERB
cana-1232	123	17	,	,	PUNCT
cana-1232	123	18	deep	deep	ADJ
cana-1232	123	19	learning	learning	NOUN
cana-1232	123	20	backbone	backbone	NOUN
cana-1232	123	21	:	:	PUNCT
cana-1232	123	22	the	the	DET
cana-1232	123	23	extracted	extract	VERB
cana-1232	123	24	features	feature	NOUN
cana-1232	123	25	are	be	AUX
cana-1232	123	26	then	then	ADV
cana-1232	123	27	fed	feed	VERB
cana-1232	123	28	into	into	ADP
cana-1232	123	29	a	a	DET
cana-1232	123	30	deep	deep	ADJ
cana-1232	123	31	learning	learning	NOUN
cana-1232	123	32	backbone	backbone	NOUN
cana-1232	123	33	.	.	PUNCT
cana-1232	124	1	this	this	DET
cana-1232	124	2	component	component	NOUN
cana-1232	124	3	typically	typically	ADV
cana-1232	124	4	consists	consist	VERB
cana-1232	124	5	of	of	ADP
cana-1232	124	6	a	a	DET
cana-1232	124	7	deep	deep	ADJ
cana-1232	124	8	convolutional	convolutional	ADJ
cana-1232	124	9	neural	neural	ADJ
cana-1232	124	10	network	network	NOUN
cana-1232	124	11	(	(	PUNCT
cana-1232	124	12	cnn	cnn	PROPN
cana-1232	124	13	)	)	PUNCT
cana-1232	124	14	that	that	PRON
cana-1232	124	15	processes	process	VERB
cana-1232	124	16	the	the	DET
cana-1232	124	17	features	feature	NOUN
cana-1232	124	18	and	and	CCONJ
cana-1232	124	19	learns	learn	VERB
cana-1232	124	20	to	to	PART
cana-1232	124	21	map	map	VERB
cana-1232	124	22	the	the	DET
cana-1232	124	23	noisy	noisy	ADJ
cana-1232	124	24	image	image	NOUN
cana-1232	124	25	to	to	ADP
cana-1232	124	26	a	a	DET
cana-1232	124	27	cleaner	clean	ADJ
cana-1232	124	28	version	version	NOUN
cana-1232	124	29	.	.	PUNCT
cana-1232	125	1	the	the	DET
cana-1232	125	2	backbone	backbone	NOUN
cana-1232	125	3	network	network	NOUN
cana-1232	125	4	plays	play	VERB
cana-1232	125	5	a	a	DET
cana-1232	125	6	crucial	crucial	ADJ
cana-1232	125	7	role	role	NOUN
cana-1232	125	8	in	in	ADP
cana-1232	125	9	understanding	understanding	NOUN
cana-1232	125	10	and	and	CCONJ
cana-1232	125	11	reconstructing	reconstruct	VERB
cana-1232	125	12	the	the	DET
cana-1232	125	13	underlying	underlie	VERB
cana-1232	125	14	image	image	NOUN
cana-1232	125	15	structures	structure	NOUN
cana-1232	125	16	.	.	PUNCT
cana-1232	126	1	perceptual	perceptual	ADJ
cana-1232	126	2	loss	loss	NOUN
cana-1232	126	3	network	network	NOUN
cana-1232	126	4	:	:	PUNCT
cana-1232	126	5	alongside	alongside	ADP
cana-1232	126	6	the	the	DET
cana-1232	126	7	deep	deep	ADJ
cana-1232	126	8	learning	learning	NOUN
cana-1232	126	9	backbone	backbone	NOUN
cana-1232	126	10	,	,	PUNCT
cana-1232	126	11	the	the	DET
cana-1232	126	12	perceptual	perceptual	ADJ
cana-1232	126	13	loss	loss	NOUN
cana-1232	126	14	network	network	NOUN
cana-1232	126	15	is	be	AUX
cana-1232	126	16	utilized	utilize	VERB
cana-1232	126	17	to	to	PART
cana-1232	126	18	guide	guide	VERB
cana-1232	126	19	the	the	DET
cana-1232	126	20	restoration	restoration	NOUN
cana-1232	126	21	process	process	NOUN
cana-1232	126	22	towards	towards	ADP
cana-1232	126	23	generating	generate	VERB
cana-1232	126	24	visually	visually	ADV
cana-1232	126	25	pleasing	pleasing	ADJ
cana-1232	126	26	results	result	NOUN
cana-1232	126	27	.	.	PUNCT
cana-1232	127	1	perceptual	perceptual	ADJ
cana-1232	127	2	loss	loss	NOUN
cana-1232	127	3	functions	function	NOUN
cana-1232	127	4	are	be	AUX
cana-1232	127	5	often	often	ADV
cana-1232	127	6	based	base	VERB
cana-1232	127	7	on	on	ADP
cana-1232	127	8	pre	pre	ADJ
cana-1232	127	9	-	-	ADJ
cana-1232	127	10	trained	train	VERB
cana-1232	127	11	deep	deep	ADJ
cana-1232	127	12	neural	neural	ADJ
cana-1232	127	13	networks	network	NOUN
cana-1232	127	14	,	,	PUNCT
cana-1232	127	15	such	such	ADJ
cana-1232	127	16	as	as	ADP
cana-1232	127	17	vgg	vgg	NOUN
cana-1232	127	18	,	,	PUNCT
cana-1232	127	19	which	which	PRON
cana-1232	127	20	focus	focus	VERB
cana-1232	127	21	on	on	ADP
cana-1232	127	22	higherlevel	higherlevel	NOUN
cana-1232	127	23	features	feature	NOUN
cana-1232	127	24	like	like	ADP
cana-1232	127	25	texture	texture	NOUN
cana-1232	127	26	and	and	CCONJ
cana-1232	127	27	structure	structure	NOUN
cana-1232	127	28	rather	rather	ADV
cana-1232	127	29	than	than	ADP
cana-1232	127	30	pixel	pixel	ADJ
cana-1232	127	31	-	-	ADJ
cana-1232	127	32	wise	wise	ADJ
cana-1232	127	33	accuracy	accuracy	NOUN
cana-1232	127	34	.	.	PUNCT
cana-1232	128	1	this	this	PRON
cana-1232	128	2	helps	help	VERB
cana-1232	128	3	in	in	ADP
cana-1232	128	4	preserving	preserve	VERB
cana-1232	128	5	important	important	ADJ
cana-1232	128	6	textures	texture	NOUN
cana-1232	128	7	and	and	CCONJ
cana-1232	128	8	details	detail	NOUN
cana-1232	128	9	in	in	ADP
cana-1232	128	10	the	the	DET
cana-1232	128	11	restored	restore	VERB
cana-1232	128	12	image	image	NOUN
cana-1232	128	13	.	.	PUNCT
cana-1232	129	1	fidelity	fidelity	NOUN
cana-1232	129	2	regularization	regularization	NOUN
cana-1232	129	3	:	:	PUNCT
cana-1232	129	4	in	in	ADP
cana-1232	129	5	parallel	parallel	NOUN
cana-1232	129	6	with	with	ADP
cana-1232	129	7	the	the	DET
cana-1232	129	8	deep	deep	ADJ
cana-1232	129	9	learning	learning	NOUN
cana-1232	129	10	backbone	backbone	NOUN
cana-1232	129	11	and	and	CCONJ
cana-1232	129	12	perceptual	perceptual	ADJ
cana-1232	129	13	loss	loss	NOUN
cana-1232	129	14	network	network	NOUN
cana-1232	129	15	,	,	PUNCT
cana-1232	129	16	fidelity	fidelity	NOUN
cana-1232	129	17	regularization	regularization	NOUN
cana-1232	129	18	is	be	AUX
cana-1232	129	19	applied	apply	VERB
cana-1232	129	20	.	.	PUNCT
cana-1232	130	1	fidelity	fidelity	NOUN
cana-1232	130	2	regularization	regularization	NOUN
cana-1232	130	3	involves	involve	VERB
cana-1232	130	4	incorporating	incorporate	VERB
cana-1232	130	5	fidelity	fidelity	NOUN
cana-1232	130	6	terms	term	NOUN
cana-1232	130	7	that	that	PRON
cana-1232	130	8	enforce	enforce	VERB
cana-1232	130	9	consistency	consistency	NOUN
cana-1232	130	10	between	between	ADP
cana-1232	130	11	the	the	DET
cana-1232	130	12	noisy	noisy	ADJ
cana-1232	130	13	input	input	NOUN
cana-1232	130	14	image	image	NOUN
cana-1232	130	15	and	and	CCONJ
cana-1232	130	16	the	the	DET
cana-1232	130	17	restored	restore	VERB
cana-1232	130	18	output	output	NOUN
cana-1232	130	19	image	image	NOUN
cana-1232	130	20	in	in	ADP
cana-1232	130	21	specific	specific	ADJ
cana-1232	130	22	regions	region	NOUN
cana-1232	130	23	.	.	PUNCT
cana-1232	131	1	this	this	DET
cana-1232	131	2	step	step	NOUN
cana-1232	131	3	helps	help	VERB
cana-1232	131	4	in	in	ADP
cana-1232	131	5	maintaining	maintain	VERB
cana-1232	131	6	the	the	DET
cana-1232	131	7	important	important	ADJ
cana-1232	131	8	image	image	NOUN
cana-1232	131	9	details	detail	NOUN
cana-1232	131	10	and	and	CCONJ
cana-1232	131	11	ensures	ensure	VERB
cana-1232	131	12	that	that	SCONJ
cana-1232	131	13	the	the	DET
cana-1232	131	14	restoration	restoration	NOUN
cana-1232	131	15	process	process	NOUN
cana-1232	131	16	does	do	AUX
cana-1232	131	17	not	not	PART
cana-1232	131	18	deviate	deviate	VERB
cana-1232	131	19	significantly	significantly	ADV
cana-1232	131	20	from	from	ADP
cana-1232	131	21	the	the	DET
cana-1232	131	22	original	original	ADJ
cana-1232	131	23	content	content	NOUN
cana-1232	131	24	.	.	PUNCT
cana-1232	132	1	communications	communication	NOUN
cana-1232	132	2	on	on	ADP
cana-1232	132	3	applied	apply	VERB
cana-1232	132	4	nonlinear	nonlinear	ADJ
cana-1232	132	5	analysis	analysis	NOUN
cana-1232	132	6	issn	issn	NOUN
cana-1232	132	7	:	:	PUNCT
cana-1232	132	8	1074	1074	NUM
cana-1232	132	9	-	-	PUNCT
cana-1232	132	10	133x	133x	NUM
cana-1232	132	11	vol	vol	NOUN
cana-1232	132	12	31	31	NUM
cana-1232	132	13	no	no	NOUN
cana-1232	132	14	.	.	PUNCT
cana-1232	133	1	6s	6s	NUM
cana-1232	133	2	(	(	PUNCT
cana-1232	133	3	2024	2024	NUM
cana-1232	133	4	)	)	PUNCT
cana-1232	133	5	408	408	NUM
cana-1232	134	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	134	2	figure	figure	NOUN
cana-1232	134	3	2	2	NUM
cana-1232	134	4	:	:	PUNCT
cana-1232	134	5	fidelity	fidelity	NOUN
cana-1232	134	6	-	-	PUNCT
cana-1232	134	7	guided	guide	VERB
cana-1232	134	8	restoration	restoration	NOUN
cana-1232	134	9	(	(	PUNCT
cana-1232	134	10	fgr	fgr	NOUN
cana-1232	134	11	)	)	PUNCT
cana-1232	134	12	architecture	architecture	NOUN
cana-1232	134	13	output	output	NOUN
cana-1232	134	14	image	image	NOUN
cana-1232	134	15	:	:	PUNCT
cana-1232	134	16	the	the	DET
cana-1232	134	17	final	final	ADJ
cana-1232	134	18	stage	stage	NOUN
cana-1232	134	19	combines	combine	VERB
cana-1232	134	20	the	the	DET
cana-1232	134	21	outputs	output	NOUN
cana-1232	134	22	from	from	ADP
cana-1232	134	23	the	the	DET
cana-1232	134	24	perceptual	perceptual	ADJ
cana-1232	134	25	loss	loss	NOUN
cana-1232	134	26	network	network	NOUN
cana-1232	134	27	and	and	CCONJ
cana-1232	134	28	the	the	DET
cana-1232	134	29	fidelity	fidelity	PROPN
cana-1232	134	30	regularization	regularization	NOUN
cana-1232	134	31	to	to	PART
cana-1232	134	32	produce	produce	VERB
cana-1232	134	33	the	the	DET
cana-1232	134	34	restored	restore	VERB
cana-1232	134	35	output	output	NOUN
cana-1232	134	36	image	image	NOUN
cana-1232	134	37	.	.	PUNCT
cana-1232	135	1	the	the	DET
cana-1232	135	2	goal	goal	NOUN
cana-1232	135	3	is	be	AUX
cana-1232	135	4	high	high	ADJ
cana-1232	135	5	-	-	PUNCT
cana-1232	135	6	level	level	NOUN
cana-1232	135	7	to	to	PART
cana-1232	135	8	strike	strike	VERB
cana-1232	135	9	the	the	DET
cana-1232	135	10	right	right	ADJ
cana-1232	135	11	balance	balance	NOUN
cana-1232	135	12	between	between	ADP
cana-1232	135	13	decreasing	decrease	VERB
cana-1232	135	14	noise	noise	NOUN
cana-1232	135	15	and	and	CCONJ
cana-1232	135	16	texture	texture	ADJ
cana-1232	135	17	preservation	preservation	NOUN
cana-1232	135	18	,	,	PUNCT
cana-1232	135	19	resulting	result	VERB
cana-1232	135	20	in	in	ADP
cana-1232	135	21	an	an	DET
cana-1232	135	22	image	image	NOUN
cana-1232	135	23	that	that	PRON
cana-1232	135	24	is	be	AUX
cana-1232	135	25	both	both	CCONJ
cana-1232	135	26	clean	clean	ADJ
cana-1232	135	27	and	and	CCONJ
cana-1232	135	28	detailed	detailed	ADJ
cana-1232	135	29	.	.	PUNCT
cana-1232	136	1	by	by	ADP
cana-1232	136	2	integrating	integrate	VERB
cana-1232	136	3	fidelity	fidelity	NOUN
cana-1232	136	4	regularization	regularization	NOUN
cana-1232	136	5	and	and	CCONJ
cana-1232	136	6	leveraging	leverage	VERB
cana-1232	136	7	deep	deep	ADJ
cana-1232	136	8	learning	learning	NOUN
cana-1232	136	9	techniques	technique	NOUN
cana-1232	136	10	,	,	PUNCT
cana-1232	136	11	the	the	DET
cana-1232	136	12	proposed	propose	VERB
cana-1232	136	13	fgr	fgr	NOUN
cana-1232	136	14	architecture	architecture	NOUN
cana-1232	136	15	aims	aim	VERB
cana-1232	136	16	to	to	PART
cana-1232	136	17	enhance	enhance	VERB
cana-1232	136	18	the	the	DET
cana-1232	136	19	preservation	preservation	NOUN
cana-1232	136	20	of	of	ADP
cana-1232	136	21	image	image	NOUN
cana-1232	136	22	details	detail	NOUN
cana-1232	136	23	and	and	CCONJ
cana-1232	136	24	textures	texture	NOUN
cana-1232	136	25	while	while	SCONJ
cana-1232	136	26	effectively	effectively	ADV
cana-1232	136	27	reducing	reduce	VERB
cana-1232	136	28	noise	noise	NOUN
cana-1232	136	29	.	.	PUNCT
cana-1232	137	1	this	this	DET
cana-1232	137	2	combination	combination	NOUN
cana-1232	137	3	allows	allow	VERB
cana-1232	137	4	for	for	ADP
cana-1232	137	5	a	a	DET
cana-1232	137	6	more	more	ADV
cana-1232	137	7	robust	robust	ADJ
cana-1232	137	8	and	and	CCONJ
cana-1232	137	9	visually	visually	ADV
cana-1232	137	10	pleasing	pleasing	ADJ
cana-1232	137	11	restoration	restoration	NOUN
cana-1232	137	12	of	of	ADP
cana-1232	137	13	images	image	NOUN
cana-1232	137	14	.	.	PUNCT
cana-1232	138	1	6	6	X
cana-1232	138	2	.	.	X
cana-1232	138	3	algorithm	algorithm	PROPN
cana-1232	138	4	algorithmic	algorithmic	ADJ
cana-1232	138	5	outline	outline	NOUN
cana-1232	138	6	for	for	ADP
cana-1232	138	7	the	the	DET
cana-1232	138	8	proposed	propose	VERB
cana-1232	138	9	fidelity	fidelity	NOUN
cana-1232	138	10	-	-	PUNCT
cana-1232	138	11	guided	guide	VERB
cana-1232	138	12	restoration	restoration	NOUN
cana-1232	138	13	(	(	PUNCT
cana-1232	138	14	fgr	fgr	NOUN
cana-1232	138	15	)	)	PUNCT
cana-1232	138	16	architecture	architecture	NOUN
cana-1232	138	17	:	:	PUNCT
cana-1232	139	1	1	1	X
cana-1232	139	2	.	.	X
cana-1232	139	3	input	input	NOUN
cana-1232	139	4	:	:	PUNCT
cana-1232	140	1	i	i	PRON
cana-1232	140	2	degraded	degrade	VERB
cana-1232	140	3	:	:	PUNCT
cana-1232	140	4	degraded	degraded	ADJ
cana-1232	140	5	or	or	CCONJ
cana-1232	140	6	noisy	noisy	ADJ
cana-1232	140	7	input	input	NOUN
cana-1232	140	8	image	image	NOUN
cana-1232	140	9	.	.	PUNCT
cana-1232	141	1	2	2	X
cana-1232	141	2	.	.	X
cana-1232	141	3	feature	feature	NOUN
cana-1232	141	4	extraction	extraction	NOUN
cana-1232	141	5	:	:	PUNCT
cana-1232	141	6	extract	extract	VERB
cana-1232	141	7	features	feature	VERB
cana-1232	141	8	features=	features=	NUM
cana-1232	141	9	feature	feature	NOUN
cana-1232	141	10	extraction	extraction	NOUN
cana-1232	141	11	i	i	PRON
cana-1232	141	12	degraded	degrade	VERB
cana-1232	141	13	using	use	VERB
cana-1232	141	14	a	a	DET
cana-1232	141	15	series	series	NOUN
cana-1232	141	16	of	of	ADP
cana-1232	141	17	convolutional	convolutional	ADJ
cana-1232	141	18	layers	layer	NOUN
cana-1232	141	19	highlevel	highlevel	VERB
cana-1232	141	20	incorporate	incorporate	VERB
cana-1232	141	21	either	either	CCONJ
cana-1232	141	22	minor	minor	ADJ
cana-1232	141	23	and	and	CCONJ
cana-1232	141	24	higher	high	ADJ
cana-1232	141	25	-	-	PUNCT
cana-1232	141	26	level	level	NOUN
cana-1232	141	27	characteristics	characteristic	NOUN
cana-1232	141	28	.	.	PUNCT
cana-1232	142	1	3	3	X
cana-1232	142	2	.	.	X
cana-1232	142	3	fidelity	fidelity	PROPN
cana-1232	142	4	regularization	regularization	NOUN
cana-1232	142	5	:	:	PUNCT
cana-1232	142	6	compute	compute	NOUN
cana-1232	142	7	fidelity	fidelity	PROPN
cana-1232	142	8	regularization	regularization	NOUN
cana-1232	142	9	term	term	NOUN
cana-1232	142	10	ridelityto	ridelityto	NOUN
cana-1232	142	11	measure	measure	NOUN
cana-1232	142	12	similarity	similarity	NOUN
cana-1232	142	13	between	between	ADP
cana-1232	142	14	restored	restored	ADJ
cana-1232	142	15	and	and	CCONJ
cana-1232	142	16	degraded	degraded	ADJ
cana-1232	142	17	images	image	NOUN
cana-1232	142	18	,	,	PUNCT
cana-1232	142	19	focusing	focus	VERB
cana-1232	142	20	on	on	ADP
cana-1232	142	21	regions	region	NOUN
cana-1232	142	22	with	with	ADP
cana-1232	142	23	important	important	ADJ
cana-1232	142	24	details	detail	NOUN
cana-1232	142	25	and	and	CCONJ
cana-1232	142	26	textures	texture	NOUN
cana-1232	142	27	.	.	PUNCT
cana-1232	143	1	4	4	X
cana-1232	143	2	.	.	X
cana-1232	143	3	deep	deep	ADJ
cana-1232	143	4	learning	learning	NOUN
cana-1232	143	5	backbone	backbone	NOUN
cana-1232	143	6	:	:	PUNCT
cana-1232	143	7	pass	pass	VERB
cana-1232	143	8	extracted	extract	VERB
cana-1232	143	9	features	feature	NOUN
cana-1232	143	10	through	through	ADP
cana-1232	143	11	a	a	DET
cana-1232	143	12	deep	deep	ADJ
cana-1232	143	13	convolutional	convolutional	ADJ
cana-1232	143	14	neural	neural	ADJ
cana-1232	143	15	network	network	NOUN
cana-1232	143	16	(	(	PUNCT
cana-1232	143	17	cnnhigh	cnnhigh	NOUN
cana-1232	143	18	-	-	PUNCT
cana-1232	143	19	level	level	NOUN
cana-1232	143	20	to	to	PART
cana-1232	143	21	understand	understand	VERB
cana-1232	143	22	the	the	DET
cana-1232	143	23	mapping	mapping	NOUN
cana-1232	143	24	restoration	restoration	NOUN
cana-1232	143	25	features	feature	VERB
cana-1232	143	26	=	=	PUNCT
cana-1232	143	27	cnn	cnn	PROPN
cana-1232	143	28	features	feature	VERB
cana-1232	143	29	5.perceptual	5.perceptual	NUM
cana-1232	143	30	loss	loss	NOUN
cana-1232	143	31	calculation	calculation	NOUN
cana-1232	143	32	:	:	PUNCT
cana-1232	143	33	calculate	calculate	VERB
cana-1232	143	34	perceptual	perceptual	ADJ
cana-1232	143	35	loss	loss	NOUN
cana-1232	143	36	lperceptual	lperceptual	ADJ
cana-1232	143	37	between	between	ADP
cana-1232	143	38	restored	restore	VERB
cana-1232	143	39	features	feature	NOUN
cana-1232	143	40	restored	restore	VERB
cana-1232	143	41	features	feature	NOUN
cana-1232	143	42	and	and	CCONJ
cana-1232	143	43	ground	ground	NOUN
cana-1232	143	44	truth	truth	NOUN
cana-1232	143	45	features	feature	NOUN
cana-1232	143	46	(	(	PUNCT
cana-1232	143	47	if	if	SCONJ
cana-1232	143	48	available	available	ADJ
cana-1232	143	49	)	)	PUNCT
cana-1232	143	50	or	or	CCONJ
cana-1232	143	51	between	between	ADP
cana-1232	143	52	restored	restore	VERB
cana-1232	143	53	features	feature	NOUN
cana-1232	143	54	and	and	CCONJ
cana-1232	143	55	degraded	degraded	ADJ
cana-1232	143	56	features	feature	NOUN
cana-1232	143	57	.	.	PUNCT
cana-1232	144	1	communications	communication	NOUN
cana-1232	144	2	on	on	ADP
cana-1232	144	3	applied	apply	VERB
cana-1232	144	4	nonlinear	nonlinear	ADJ
cana-1232	144	5	analysis	analysis	NOUN
cana-1232	144	6	issn	issn	NOUN
cana-1232	144	7	:	:	PUNCT
cana-1232	144	8	1074	1074	NUM
cana-1232	144	9	-	-	PUNCT
cana-1232	144	10	133x	133x	NUM
cana-1232	144	11	vol	vol	NOUN
cana-1232	144	12	31	31	NUM
cana-1232	144	13	no	no	NOUN
cana-1232	144	14	.	.	PUNCT
cana-1232	145	1	6s	6s	NUM
cana-1232	145	2	(	(	PUNCT
cana-1232	145	3	2024	2024	NUM
cana-1232	145	4	)	)	PUNCT
cana-1232	145	5	409	409	NUM
cana-1232	145	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	145	7	6	6	NUM
cana-1232	145	8	.	.	PUNCT
cana-1232	146	1	optimization	optimization	NOUN
cana-1232	146	2	:	:	PUNCT
cana-1232	146	3	minimize	minimize	VERB
cana-1232	146	4	the	the	DET
cana-1232	146	5	total	total	ADJ
cana-1232	146	6	loss	loss	NOUN
cana-1232	146	7	l	l	NOUN
cana-1232	146	8	=	=	PUNCT
cana-1232	146	9	l_perceptual	l_perceptual	ADJ
cana-1232	146	10	+	+	NOUN
cana-1232	146	11	lambda	lambda	NOUN
cana-1232	146	12	.	.	PUNCT
cana-1232	147	1	r	r	NOUN
cana-1232	147	2	fidelity	fidelity	NOUN
cana-1232	147	3	,	,	PUNCT
cana-1232	147	4	where	where	SCONJ
cana-1232	147	5	lambda	lambda	NOUN
cana-1232	147	6	is	be	AUX
cana-1232	147	7	a	a	DET
cana-1232	147	8	regularization	regularization	NOUN
cana-1232	147	9	parameter	parameter	NOUN
cana-1232	147	10	balancing	balance	VERB
cana-1232	147	11	fidelity	fidelity	NOUN
cana-1232	147	12	regularization	regularization	NOUN
cana-1232	147	13	and	and	CCONJ
cana-1232	147	14	perceptual	perceptual	ADJ
cana-1232	147	15	loss	loss	NOUN
cana-1232	147	16	during	during	ADP
cana-1232	147	17	training	training	NOUN
cana-1232	147	18	.	.	PUNCT
cana-1232	148	1	7	7	X
cana-1232	148	2	.	.	X
cana-1232	148	3	output	output	NOUN
cana-1232	148	4	obtain	obtain	VERB
cana-1232	148	5	the	the	DET
cana-1232	148	6	restored	restore	VERB
cana-1232	148	7	image	image	NOUN
cana-1232	148	8	irestored	irestore	VERB
cana-1232	148	9	from	from	ADP
cana-1232	148	10	the	the	DET
cana-1232	148	11	network	network	NOUN
cana-1232	148	12	output	output	NOUN
cana-1232	148	13	.	.	PUNCT
cana-1232	149	1	this	this	DET
cana-1232	149	2	algorithmic	algorithmic	ADJ
cana-1232	149	3	outline	outline	NOUN
cana-1232	149	4	encapsulates	encapsulate	VERB
cana-1232	149	5	the	the	DET
cana-1232	149	6	key	key	ADJ
cana-1232	149	7	steps	step	NOUN
cana-1232	149	8	and	and	CCONJ
cana-1232	149	9	principles	principle	NOUN
cana-1232	149	10	of	of	ADP
cana-1232	149	11	the	the	DET
cana-1232	149	12	fidelity	fidelity	NOUN
cana-1232	149	13	-	-	PUNCT
cana-1232	149	14	guided	guide	VERB
cana-1232	149	15	restoration	restoration	NOUN
cana-1232	149	16	(	(	PUNCT
cana-1232	149	17	fgr	fgr	NOUN
cana-1232	149	18	)	)	PUNCT
cana-1232	149	19	approach	approach	NOUN
cana-1232	149	20	,	,	PUNCT
cana-1232	149	21	leveraging	leverage	VERB
cana-1232	149	22	deep	deep	ADJ
cana-1232	149	23	learning	learning	NOUN
cana-1232	149	24	and	and	CCONJ
cana-1232	149	25	fidelity	fidelity	NOUN
cana-1232	149	26	regularization	regularization	NOUN
cana-1232	149	27	to	to	PART
cana-1232	149	28	achieve	achieve	VERB
cana-1232	149	29	high	high	ADJ
cana-1232	149	30	-	-	PUNCT
cana-1232	149	31	quality	quality	NOUN
cana-1232	149	32	image	image	NOUN
cana-1232	149	33	restoration	restoration	NOUN
cana-1232	149	34	results	result	NOUN
cana-1232	149	35	.	.	PUNCT
cana-1232	150	1	7	7	X
cana-1232	150	2	.	.	X
cana-1232	150	3	dataset	dataset	PROPN
cana-1232	150	4	div2k	div2k	PROPN
cana-1232	150	5	:	:	PUNCT
cana-1232	150	6	the	the	DET
cana-1232	150	7	diverse	diverse	ADJ
cana-1232	150	8	2k	2k	NUM
cana-1232	150	9	resolution	resolution	NOUN
cana-1232	150	10	dataset	dataset	NOUN
cana-1232	150	11	(	(	PUNCT
cana-1232	150	12	div2k	div2k	PROPN
cana-1232	150	13	)	)	PUNCT
cana-1232	150	14	contains	contain	VERB
cana-1232	150	15	high	high	ADJ
cana-1232	150	16	-	-	PUNCT
cana-1232	150	17	resolution	resolution	NOUN
cana-1232	150	18	images	image	NOUN
cana-1232	150	19	with	with	ADP
cana-1232	150	20	diverse	diverse	ADJ
cana-1232	150	21	content	content	NOUN
cana-1232	150	22	.	.	PUNCT
cana-1232	151	1	there	there	PRON
cana-1232	151	2	are	be	VERB
cana-1232	151	3	800	800	NUM
cana-1232	151	4	training	training	NOUN
cana-1232	151	5	photos	photo	NOUN
cana-1232	151	6	and	and	CCONJ
cana-1232	151	7	100	100	NUM
cana-1232	151	8	validation	validation	NOUN
cana-1232	151	9	images	image	NOUN
cana-1232	151	10	in	in	ADP
cana-1232	151	11	all	all	PRON
cana-1232	151	12	,	,	PUNCT
cana-1232	151	13	high	high	ADJ
cana-1232	151	14	-	-	PUNCT
cana-1232	151	15	level	level	NOUN
cana-1232	151	16	offering	offering	NOUN
cana-1232	151	17	a	a	DET
cana-1232	151	18	variety	variety	NOUN
cana-1232	151	19	of	of	ADP
cana-1232	151	20	circumstances	circumstance	NOUN
cana-1232	151	21	for	for	ADP
cana-1232	151	22	image	image	NOUN
cana-1232	151	23	restoration	restoration	NOUN
cana-1232	151	24	.	.	PUNCT
cana-1232	152	1	the	the	DET
cana-1232	152	2	div2k	div2k	PROPN
cana-1232	152	3	dataset	dataset	NOUN
cana-1232	152	4	is	be	AUX
cana-1232	152	5	commonly	commonly	ADV
cana-1232	152	6	used	use	VERB
cana-1232	152	7	for	for	ADP
cana-1232	152	8	training	train	VERB
cana-1232	152	9	deep	deep	ADJ
cana-1232	152	10	learning	learning	NOUN
cana-1232	152	11	-	-	PUNCT
cana-1232	152	12	based	base	VERB
cana-1232	152	13	models	model	NOUN
cana-1232	152	14	and	and	CCONJ
cana-1232	152	15	can	can	AUX
cana-1232	152	16	be	be	AUX
cana-1232	152	17	utilized	utilize	VERB
cana-1232	152	18	to	to	PART
cana-1232	152	19	train	train	VERB
cana-1232	152	20	the	the	DET
cana-1232	152	21	fgr	fgr	PROPN
cana-1232	152	22	system	system	NOUN
cana-1232	152	23	.	.	PUNCT
cana-1232	153	1	in	in	ADP
cana-1232	153	2	the	the	DET
cana-1232	153	3	context	context	NOUN
cana-1232	153	4	of	of	ADP
cana-1232	153	5	the	the	DET
cana-1232	153	6	fidelity	fidelity	NOUN
cana-1232	153	7	-	-	PUNCT
cana-1232	153	8	guided	guide	VERB
cana-1232	153	9	restoration	restoration	NOUN
cana-1232	153	10	(	(	PUNCT
cana-1232	153	11	fgr	fgr	NOUN
cana-1232	153	12	)	)	PUNCT
cana-1232	153	13	system	system	NOUN
cana-1232	153	14	,	,	PUNCT
cana-1232	153	15	the	the	DET
cana-1232	153	16	diverse	diverse	ADJ
cana-1232	153	17	2k	2k	NOUN
cana-1232	153	18	resolution	resolution	NOUN
cana-1232	153	19	dataset	dataset	NOUN
cana-1232	153	20	(	(	PUNCT
cana-1232	153	21	div2k	div2k	PROPN
cana-1232	153	22	)	)	PUNCT
cana-1232	153	23	can	can	AUX
cana-1232	153	24	be	be	AUX
cana-1232	153	25	used	use	VERB
cana-1232	153	26	for	for	ADP
cana-1232	153	27	training	training	NOUN
cana-1232	153	28	and	and	CCONJ
cana-1232	153	29	evaluating	evaluate	VERB
cana-1232	153	30	the	the	DET
cana-1232	153	31	performance	performance	NOUN
cana-1232	153	32	of	of	ADP
cana-1232	153	33	the	the	DET
cana-1232	153	34	system	system	NOUN
cana-1232	153	35	.	.	PUNCT
cana-1232	154	1	there	there	PRON
cana-1232	154	2	are	be	VERB
cana-1232	154	3	800	800	NUM
cana-1232	154	4	highresolution	highresolution	NOUN
cana-1232	154	5	photos	photo	NOUN
cana-1232	154	6	in	in	ADP
cana-1232	154	7	the	the	DET
cana-1232	154	8	div2k	div2k	PROPN
cana-1232	154	9	dataset	dataset	VERB
cana-1232	154	10	for	for	ADP
cana-1232	154	11	training	training	NOUN
cana-1232	154	12	and	and	CCONJ
cana-1232	154	13	100	100	NUM
cana-1232	154	14	images	image	NOUN
cana-1232	154	15	for	for	ADP
cana-1232	154	16	validation	validation	NOUN
cana-1232	154	17	.	.	PUNCT
cana-1232	155	1	here	here	ADV
cana-1232	155	2	is	be	AUX
cana-1232	155	3	how	how	SCONJ
cana-1232	155	4	the	the	DET
cana-1232	155	5	fgr	fgr	NOUN
cana-1232	155	6	system	system	NOUN
cana-1232	155	7	can	can	AUX
cana-1232	155	8	be	be	AUX
cana-1232	155	9	applied	apply	VERB
cana-1232	155	10	to	to	ADP
cana-1232	155	11	the	the	DET
cana-1232	155	12	div2k	div2k	PROPN
cana-1232	155	13	dataset	dataset	NOUN
cana-1232	156	1	:	:	PUNCT
cana-1232	156	2	1	1	X
cana-1232	156	3	.	.	X
cana-1232	156	4	training	training	NOUN
cana-1232	156	5	:	:	PUNCT
cana-1232	156	6	to	to	PART
cana-1232	156	7	train	train	VERB
cana-1232	156	8	the	the	DET
cana-1232	156	9	fgr	fgr	PROPN
cana-1232	156	10	system	system	NOUN
cana-1232	156	11	,	,	PUNCT
cana-1232	156	12	a	a	DET
cana-1232	156	13	subset	subset	NOUN
cana-1232	156	14	of	of	ADP
cana-1232	156	15	the	the	DET
cana-1232	156	16	div2k	div2k	PROPN
cana-1232	156	17	dataset	dataset	NOUN
cana-1232	156	18	can	can	AUX
cana-1232	156	19	be	be	AUX
cana-1232	156	20	used	use	VERB
cana-1232	156	21	.	.	PUNCT
cana-1232	157	1	the	the	DET
cana-1232	157	2	training	training	NOUN
cana-1232	157	3	subset	subset	NOUN
cana-1232	157	4	can	can	AUX
cana-1232	157	5	be	be	AUX
cana-1232	157	6	randomly	randomly	ADV
cana-1232	157	7	selected	select	VERB
cana-1232	157	8	from	from	ADP
cana-1232	157	9	the	the	DET
cana-1232	157	10	800	800	NUM
cana-1232	157	11	training	training	NOUN
cana-1232	157	12	images	image	NOUN
cana-1232	157	13	.	.	PUNCT
cana-1232	158	1	the	the	DET
cana-1232	158	2	degraded	degraded	ADJ
cana-1232	158	3	versions	version	NOUN
cana-1232	158	4	of	of	ADP
cana-1232	158	5	these	these	DET
cana-1232	158	6	images	image	NOUN
cana-1232	158	7	can	can	AUX
cana-1232	158	8	be	be	AUX
cana-1232	158	9	created	create	VERB
cana-1232	158	10	by	by	ADP
cana-1232	158	11	introducing	introduce	VERB
cana-1232	158	12	various	various	ADJ
cana-1232	158	13	types	type	NOUN
cana-1232	158	14	and	and	CCONJ
cana-1232	158	15	levels	level	NOUN
cana-1232	158	16	of	of	ADP
cana-1232	158	17	noise	noise	NOUN
cana-1232	158	18	,	,	PUNCT
cana-1232	158	19	such	such	ADJ
cana-1232	158	20	as	as	ADP
cana-1232	158	21	gaussian	gaussian	ADJ
cana-1232	158	22	noise	noise	NOUN
cana-1232	158	23	,	,	PUNCT
cana-1232	158	24	poisson	poisson	NOUN
cana-1232	158	25	noise	noise	NOUN
cana-1232	158	26	,	,	PUNCT
cana-1232	158	27	or	or	CCONJ
cana-1232	158	28	jpeg	jpeg	NOUN
cana-1232	158	29	compression	compression	NOUN
cana-1232	158	30	artifacts	artifact	NOUN
cana-1232	158	31	.	.	PUNCT
cana-1232	159	1	the	the	DET
cana-1232	159	2	corresponding	correspond	VERB
cana-1232	159	3	clean	clean	PROPN
cana-1232	159	4	,	,	PUNCT
cana-1232	159	5	the	the	DET
cana-1232	159	6	visuals	visual	NOUN
cana-1232	159	7	are	be	AUX
cana-1232	159	8	high	high	ADJ
cana-1232	159	9	-	-	PUNCT
cana-1232	159	10	resolution	resolution	NOUN
cana-1232	159	11	photos	photo	NOUN
cana-1232	159	12	from	from	ADP
cana-1232	159	13	the	the	DET
cana-1232	159	14	div2k	div2k	PROPN
cana-1232	159	15	collection	collection	NOUN
cana-1232	159	16	.	.	PUNCT
cana-1232	160	1	ground	ground	NOUN
cana-1232	160	2	truth	truth	NOUN
cana-1232	160	3	for	for	ADP
cana-1232	160	4	training	train	VERB
cana-1232	160	5	the	the	DET
cana-1232	160	6	fgr	fgr	NOUN
cana-1232	160	7	system	system	NOUN
cana-1232	160	8	.	.	PUNCT
cana-1232	161	1	2.validation	2.validation	NUM
cana-1232	161	2	:	:	PUNCT
cana-1232	161	3	the	the	DET
cana-1232	161	4	remaining	remain	VERB
cana-1232	161	5	images	image	NOUN
cana-1232	161	6	from	from	ADP
cana-1232	161	7	the	the	DET
cana-1232	161	8	div2k	div2k	PROPN
cana-1232	161	9	dataset	dataset	NOUN
cana-1232	161	10	(	(	PUNCT
cana-1232	161	11	100	100	NUM
cana-1232	161	12	validation	validation	NOUN
cana-1232	161	13	images	image	NOUN
cana-1232	161	14	)	)	PUNCT
cana-1232	161	15	can	can	AUX
cana-1232	161	16	be	be	AUX
cana-1232	161	17	used	use	VERB
cana-1232	161	18	for	for	ADP
cana-1232	161	19	evaluating	evaluate	VERB
cana-1232	161	20	the	the	DET
cana-1232	161	21	performance	performance	NOUN
cana-1232	161	22	of	of	ADP
cana-1232	161	23	the	the	DET
cana-1232	161	24	fgr	fgr	NOUN
cana-1232	161	25	system	system	NOUN
cana-1232	161	26	during	during	ADP
cana-1232	161	27	the	the	DET
cana-1232	161	28	training	training	NOUN
cana-1232	161	29	process	process	NOUN
cana-1232	161	30	.	.	PUNCT
cana-1232	162	1	these	these	DET
cana-1232	162	2	images	image	NOUN
cana-1232	162	3	are	be	AUX
cana-1232	162	4	highlevel	highlevel	ADV
cana-1232	162	5	utilized	utilize	VERB
cana-1232	162	6	to	to	PART
cana-1232	162	7	evaluate	evaluate	VERB
cana-1232	162	8	the	the	DET
cana-1232	162	9	restoring	restore	VERB
cana-1232	162	10	effectiveness	effectiveness	NOUN
cana-1232	162	11	and	and	CCONJ
cana-1232	162	12	compare	compare	VERB
cana-1232	162	13	it	it	PRON
cana-1232	162	14	to	to	ADP
cana-1232	162	15	the	the	DET
cana-1232	162	16	actual	actual	ADJ
cana-1232	162	17	truth	truth	NOUN
cana-1232	162	18	clean	clean	ADJ
cana-1232	162	19	images	image	NOUN
cana-1232	162	20	.	.	PUNCT
cana-1232	163	1	the	the	DET
cana-1232	163	2	fgr	fgr	PROPN
cana-1232	163	3	system	system	NOUN
cana-1232	163	4	's	's	PART
cana-1232	163	5	parameters	parameter	NOUN
cana-1232	163	6	and	and	CCONJ
cana-1232	163	7	architecture	architecture	NOUN
cana-1232	163	8	can	can	AUX
cana-1232	163	9	be	be	AUX
cana-1232	163	10	fine	fine	ADV
cana-1232	163	11	-	-	PUNCT
cana-1232	163	12	tuned	tune	VERB
cana-1232	163	13	based	base	VERB
cana-1232	163	14	on	on	ADP
cana-1232	163	15	the	the	DET
cana-1232	163	16	validation	validation	NOUN
cana-1232	163	17	results	result	NOUN
cana-1232	163	18	to	to	PART
cana-1232	163	19	improve	improve	VERB
cana-1232	163	20	its	its	PRON
cana-1232	163	21	performance	performance	NOUN
cana-1232	163	22	.	.	PUNCT
cana-1232	164	1	3	3	X
cana-1232	164	2	.	.	X
cana-1232	164	3	testing	testing	NOUN
cana-1232	164	4	:	:	PUNCT
cana-1232	164	5	after	after	ADP
cana-1232	164	6	training	training	NOUN
cana-1232	164	7	and	and	CCONJ
cana-1232	164	8	validation	validation	NOUN
cana-1232	164	9	,	,	PUNCT
cana-1232	164	10	the	the	DET
cana-1232	164	11	trained	train	VERB
cana-1232	164	12	fgr	fgr	NOUN
cana-1232	164	13	system	system	NOUN
cana-1232	164	14	can	can	AUX
cana-1232	164	15	be	be	AUX
cana-1232	164	16	applied	apply	VERB
cana-1232	164	17	to	to	ADP
cana-1232	164	18	new	new	ADJ
cana-1232	164	19	images	image	NOUN
cana-1232	164	20	from	from	ADP
cana-1232	164	21	the	the	DET
cana-1232	164	22	div2k	div2k	PROPN
cana-1232	164	23	dataset	dataset	NOUN
cana-1232	164	24	that	that	PRON
cana-1232	164	25	were	be	AUX
cana-1232	164	26	not	not	PART
cana-1232	164	27	used	use	VERB
cana-1232	164	28	during	during	ADP
cana-1232	164	29	training	training	NOUN
cana-1232	164	30	or	or	CCONJ
cana-1232	164	31	validation	validation	NOUN
cana-1232	164	32	.	.	PUNCT
cana-1232	165	1	the	the	DET
cana-1232	165	2	degraded	degraded	ADJ
cana-1232	165	3	versions	version	NOUN
cana-1232	165	4	of	of	ADP
cana-1232	165	5	these	these	DET
cana-1232	165	6	test	test	NOUN
cana-1232	165	7	images	image	NOUN
cana-1232	165	8	can	can	AUX
cana-1232	165	9	be	be	AUX
cana-1232	165	10	created	create	VERB
cana-1232	165	11	using	use	VERB
cana-1232	165	12	similar	similar	ADJ
cana-1232	165	13	noise	noise	NOUN
cana-1232	165	14	types	type	NOUN
cana-1232	165	15	and	and	CCONJ
cana-1232	165	16	levels	level	NOUN
cana-1232	165	17	as	as	SCONJ
cana-1232	165	18	used	use	VERB
cana-1232	165	19	in	in	ADP
cana-1232	165	20	the	the	DET
cana-1232	165	21	training	training	NOUN
cana-1232	165	22	phase	phase	NOUN
cana-1232	165	23	.	.	PUNCT
cana-1232	166	1	the	the	DET
cana-1232	166	2	fgr	fgr	PROPN
cana-1232	166	3	system	system	NOUN
cana-1232	166	4	then	then	ADV
cana-1232	166	5	restores	restore	VERB
cana-1232	166	6	these	these	DET
cana-1232	166	7	test	test	NOUN
cana-1232	166	8	images	image	NOUN
cana-1232	166	9	,	,	PUNCT
cana-1232	166	10	aiming	aim	VERB
cana-1232	166	11	to	to	PART
cana-1232	166	12	balance	balance	NOUN
cana-1232	166	13	noise	noise	NOUN
cana-1232	166	14	reduction	reduction	NOUN
cana-1232	166	15	and	and	CCONJ
cana-1232	166	16	texture	texture	ADJ
cana-1232	166	17	preservation	preservation	NOUN
cana-1232	166	18	for	for	ADP
cana-1232	166	19	enhanced	enhanced	ADJ
cana-1232	166	20	image	image	NOUN
cana-1232	166	21	details	detail	NOUN
cana-1232	166	22	.	.	PUNCT
cana-1232	167	1	the	the	DET
cana-1232	167	2	quality	quality	NOUN
cana-1232	167	3	of	of	ADP
cana-1232	167	4	the	the	DET
cana-1232	167	5	restored	restore	VERB
cana-1232	167	6	images	image	NOUN
cana-1232	167	7	can	can	AUX
cana-1232	167	8	be	be	AUX
cana-1232	167	9	evaluated	evaluate	VERB
cana-1232	167	10	using	use	VERB
cana-1232	167	11	several	several	ADJ
cana-1232	167	12	criteria	criterion	NOUN
cana-1232	167	13	like	like	ADP
cana-1232	167	14	peak	peak	NOUN
cana-1232	167	15	signal	signal	VERB
cana-1232	167	16	-	-	PUNCT
cana-1232	167	17	to	to	ADP
cana-1232	167	18	-	-	PUNCT
cana-1232	167	19	noise	noise	NOUN
cana-1232	167	20	ratio	ratio	NOUN
cana-1232	167	21	(	(	PUNCT
cana-1232	167	22	psnr	psnr	NOUN
cana-1232	167	23	)	)	PUNCT
cana-1232	167	24	,	,	PUNCT
cana-1232	167	25	structural	structural	ADJ
cana-1232	167	26	similarity	similarity	NOUN
cana-1232	167	27	index	index	NOUN
cana-1232	167	28	(	(	PUNCT
cana-1232	167	29	ssim	ssim	NOUN
cana-1232	167	30	)	)	PUNCT
cana-1232	167	31	,	,	PUNCT
cana-1232	167	32	or	or	CCONJ
cana-1232	167	33	perceptual	perceptual	ADJ
cana-1232	167	34	quality	quality	NOUN
cana-1232	167	35	metrics	metric	NOUN
cana-1232	167	36	like	like	ADP
cana-1232	167	37	visual	visual	ADJ
cana-1232	167	38	information	information	NOUN
cana-1232	167	39	fidelity	fidelity	PROPN
cana-1232	167	40	(	(	PUNCT
cana-1232	167	41	vif	vif	PROPN
cana-1232	167	42	)	)	PUNCT
cana-1232	167	43	.	.	PUNCT
cana-1232	168	1	by	by	ADP
cana-1232	168	2	using	use	VERB
cana-1232	168	3	the	the	DET
cana-1232	168	4	div2k	div2k	PROPN
cana-1232	168	5	training	training	NOUN
cana-1232	168	6	,	,	PUNCT
cana-1232	168	7	validation	validation	NOUN
cana-1232	168	8	,	,	PUNCT
cana-1232	168	9	and	and	CCONJ
cana-1232	168	10	testing	testing	NOUN
cana-1232	168	11	datasets	dataset	NOUN
cana-1232	168	12	,	,	PUNCT
cana-1232	168	13	the	the	DET
cana-1232	168	14	fgr	fgr	NOUN
cana-1232	168	15	system	system	NOUN
cana-1232	168	16	can	can	AUX
cana-1232	168	17	be	be	AUX
cana-1232	168	18	evaluated	evaluate	VERB
cana-1232	168	19	on	on	ADP
cana-1232	168	20	a	a	DET
cana-1232	168	21	diverse	diverse	ADJ
cana-1232	168	22	range	range	NOUN
cana-1232	168	23	of	of	ADP
cana-1232	168	24	high	high	ADJ
cana-1232	168	25	-	-	PUNCT
cana-1232	168	26	resolution	resolution	NOUN
cana-1232	168	27	images	image	NOUN
cana-1232	168	28	,	,	PUNCT
cana-1232	168	29	allowing	allow	VERB
cana-1232	168	30	for	for	ADP
cana-1232	168	31	a	a	DET
cana-1232	168	32	comprehensive	comprehensive	ADJ
cana-1232	168	33	assessment	assessment	NOUN
cana-1232	168	34	of	of	ADP
cana-1232	168	35	its	its	PRON
cana-1232	168	36	ability	ability	NOUN
cana-1232	168	37	to	to	PART
cana-1232	168	38	balance	balance	VERB
cana-1232	168	39	noise	noise	NOUN
cana-1232	168	40	reduction	reduction	NOUN
cana-1232	168	41	and	and	CCONJ
cana-1232	168	42	texture	texture	ADJ
cana-1232	168	43	preservation	preservation	NOUN
cana-1232	168	44	for	for	ADP
cana-1232	168	45	enhanced	enhanced	ADJ
cana-1232	168	46	image	image	NOUN
cana-1232	168	47	details	detail	NOUN
cana-1232	168	48	.	.	PUNCT
cana-1232	169	1	the	the	DET
cana-1232	169	2	dataset	dataset	NOUN
cana-1232	169	3	's	's	PART
cana-1232	169	4	diverse	diverse	ADJ
cana-1232	169	5	communications	communication	NOUN
cana-1232	169	6	on	on	ADP
cana-1232	169	7	applied	apply	VERB
cana-1232	169	8	nonlinear	nonlinear	ADJ
cana-1232	169	9	analysis	analysis	NOUN
cana-1232	169	10	issn	issn	NOUN
cana-1232	169	11	:	:	PUNCT
cana-1232	169	12	1074	1074	NUM
cana-1232	169	13	-	-	PUNCT
cana-1232	169	14	133x	133x	NUM
cana-1232	169	15	vol	vol	NOUN
cana-1232	169	16	31	31	NUM
cana-1232	169	17	no	no	NOUN
cana-1232	169	18	.	.	PUNCT
cana-1232	170	1	6s	6s	NUM
cana-1232	170	2	(	(	PUNCT
cana-1232	170	3	2024	2024	NUM
cana-1232	170	4	)	)	PUNCT
cana-1232	170	5	410	410	NUM
cana-1232	170	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	170	7	content	content	NOUN
cana-1232	170	8	and	and	CCONJ
cana-1232	170	9	challenging	challenging	ADJ
cana-1232	170	10	characteristics	characteristic	NOUN
cana-1232	170	11	make	make	VERB
cana-1232	170	12	it	it	PRON
cana-1232	170	13	suitable	suitable	ADJ
cana-1232	170	14	for	for	ADP
cana-1232	170	15	assessing	assess	VERB
cana-1232	170	16	the	the	DET
cana-1232	170	17	performance	performance	NOUN
cana-1232	170	18	and	and	CCONJ
cana-1232	170	19	generalization	generalization	NOUN
cana-1232	170	20	capability	capability	NOUN
cana-1232	170	21	of	of	ADP
cana-1232	170	22	the	the	DET
cana-1232	170	23	fgr	fgr	NOUN
cana-1232	170	24	system	system	NOUN
cana-1232	170	25	in	in	ADP
cana-1232	170	26	various	various	ADJ
cana-1232	170	27	scenarios	scenario	NOUN
cana-1232	170	28	.	.	PUNCT
cana-1232	171	1	8	8	X
cana-1232	171	2	.	.	X
cana-1232	171	3	experimental	experimental	ADJ
cana-1232	171	4	results	result	NOUN
cana-1232	171	5	and	and	CCONJ
cana-1232	171	6	outcome	outcome	VERB
cana-1232	171	7	to	to	PART
cana-1232	171	8	assess	assess	VERB
cana-1232	171	9	the	the	DET
cana-1232	171	10	performance	performance	NOUN
cana-1232	171	11	of	of	ADP
cana-1232	171	12	the	the	DET
cana-1232	171	13	fidelity	fidelity	NOUN
cana-1232	171	14	-	-	PUNCT
cana-1232	171	15	guided	guide	VERB
cana-1232	171	16	restoration	restoration	NOUN
cana-1232	171	17	(	(	PUNCT
cana-1232	171	18	fgr	fgr	NOUN
cana-1232	171	19	)	)	PUNCT
cana-1232	171	20	system	system	NOUN
cana-1232	171	21	in	in	ADP
cana-1232	171	22	balancing	balance	VERB
cana-1232	171	23	noise	noise	NOUN
cana-1232	171	24	reduction	reduction	NOUN
cana-1232	171	25	and	and	CCONJ
cana-1232	171	26	texture	texture	ADJ
cana-1232	171	27	preservation	preservation	NOUN
cana-1232	171	28	for	for	ADP
cana-1232	171	29	enhanced	enhanced	ADJ
cana-1232	171	30	image	image	NOUN
cana-1232	171	31	details	detail	NOUN
cana-1232	171	32	,	,	PUNCT
cana-1232	171	33	the	the	DET
cana-1232	171	34	diverse	diverse	ADJ
cana-1232	171	35	2k	2k	NOUN
cana-1232	171	36	resolution	resolution	NOUN
cana-1232	171	37	dataset	dataset	NOUN
cana-1232	171	38	(	(	PUNCT
cana-1232	171	39	div2k	div2k	PROPN
cana-1232	171	40	)	)	PUNCT
cana-1232	171	41	can	can	AUX
cana-1232	171	42	be	be	AUX
cana-1232	171	43	used	use	VERB
cana-1232	171	44	for	for	ADP
cana-1232	171	45	conducting	conduct	VERB
cana-1232	171	46	experiments	experiment	NOUN
cana-1232	171	47	.	.	PUNCT
cana-1232	172	1	1	1	X
cana-1232	172	2	.	.	X
cana-1232	172	3	quantitative	quantitative	ADJ
cana-1232	172	4	evaluation	evaluation	NOUN
cana-1232	172	5	:	:	PUNCT
cana-1232	172	6	the	the	DET
cana-1232	172	7	performance	performance	NOUN
cana-1232	172	8	of	of	ADP
cana-1232	172	9	the	the	DET
cana-1232	172	10	fgr	fgr	NOUN
cana-1232	172	11	system	system	NOUN
cana-1232	172	12	can	can	AUX
cana-1232	172	13	be	be	AUX
cana-1232	172	14	quantitatively	quantitatively	ADV
cana-1232	172	15	structural	structural	ADJ
cana-1232	172	16	similarity	similarity	NOUN
cana-1232	172	17	index	index	NOUN
cana-1232	172	18	(	(	PUNCT
cana-1232	172	19	ssim	ssim	NOUN
cana-1232	172	20	)	)	PUNCT
cana-1232	172	21	,	,	PUNCT
cana-1232	172	22	peak	peak	NOUN
cana-1232	172	23	signal	signal	NOUN
cana-1232	172	24	-	-	PUNCT
cana-1232	172	25	to	to	ADP
cana-1232	172	26	-	-	PUNCT
cana-1232	172	27	noise	noise	NOUN
cana-1232	172	28	ratio	ratio	NOUN
cana-1232	172	29	(	(	PUNCT
cana-1232	172	30	psnr	psnr	NOUN
cana-1232	172	31	)	)	PUNCT
cana-1232	172	32	,	,	PUNCT
cana-1232	172	33	and	and	CCONJ
cana-1232	172	34	other	other	ADJ
cana-1232	172	35	measures	measure	NOUN
cana-1232	172	36	or	or	CCONJ
cana-1232	172	37	other	other	ADJ
cana-1232	172	38	relevant	relevant	ADJ
cana-1232	172	39	metrics	metric	NOUN
cana-1232	172	40	.	.	PUNCT
cana-1232	173	1	these	these	DET
cana-1232	173	2	metrics	metric	NOUN
cana-1232	173	3	provide	provide	VERB
cana-1232	173	4	objective	objective	ADJ
cana-1232	173	5	measurements	measurement	NOUN
cana-1232	173	6	of	of	ADP
cana-1232	173	7	the	the	DET
cana-1232	173	8	quality	quality	NOUN
cana-1232	173	9	of	of	ADP
cana-1232	173	10	the	the	DET
cana-1232	173	11	restored	restore	VERB
cana-1232	173	12	photos	photo	NOUN
cana-1232	173	13	in	in	ADP
cana-1232	173	14	comparison	comparison	NOUN
cana-1232	173	15	to	to	ADP
cana-1232	173	16	the	the	DET
cana-1232	173	17	original	original	ADJ
cana-1232	173	18	clean	clean	ADJ
cana-1232	173	19	images	image	NOUN
cana-1232	173	20	from	from	ADP
cana-1232	173	21	the	the	DET
cana-1232	173	22	div2k	div2k	PROPN
cana-1232	173	23	dataset	dataset	NOUN
cana-1232	173	24	.	.	PUNCT
cana-1232	174	1	the	the	DET
cana-1232	174	2	experimental	experimental	ADJ
cana-1232	174	3	results	result	NOUN
cana-1232	174	4	will	will	AUX
cana-1232	174	5	showcase	showcase	VERB
cana-1232	174	6	the	the	DET
cana-1232	174	7	effectiveness	effectiveness	NOUN
cana-1232	174	8	of	of	ADP
cana-1232	174	9	the	the	DET
cana-1232	174	10	fgr	fgr	NOUN
cana-1232	174	11	system	system	NOUN
cana-1232	174	12	in	in	ADP
cana-1232	174	13	achieving	achieve	VERB
cana-1232	174	14	a	a	DET
cana-1232	174	15	balance	balance	NOUN
cana-1232	174	16	between	between	ADP
cana-1232	174	17	noise	noise	NOUN
cana-1232	174	18	reduction	reduction	NOUN
cana-1232	174	19	and	and	CCONJ
cana-1232	174	20	texture	texture	ADJ
cana-1232	174	21	preservation	preservation	NOUN
cana-1232	174	22	,	,	PUNCT
cana-1232	174	23	as	as	SCONJ
cana-1232	174	24	reflected	reflect	VERB
cana-1232	174	25	by	by	ADP
cana-1232	174	26	improved	improve	VERB
cana-1232	174	27	quantitative	quantitative	ADJ
cana-1232	174	28	metrics	metric	NOUN
cana-1232	174	29	compared	compare	VERB
cana-1232	174	30	to	to	ADP
cana-1232	174	31	baseline	baseline	ADJ
cana-1232	174	32	methods	method	NOUN
cana-1232	174	33	.	.	PUNCT
cana-1232	175	1	9	9	X
cana-1232	175	2	.	.	X
cana-1232	175	3	formula	formula	NOUN
cana-1232	175	4	for	for	ADP
cana-1232	175	5	fidelity	fidelity	NOUN
cana-1232	175	6	-	-	PUNCT
cana-1232	175	7	guided	guide	VERB
cana-1232	175	8	restoration	restoration	NOUN
cana-1232	175	9	(	(	PUNCT
cana-1232	175	10	fgr	fgr	NOUN
cana-1232	175	11	)	)	PUNCT
cana-1232	175	12	figure	figure	NOUN
cana-1232	175	13	3	3	NUM
cana-1232	175	14	:	:	PUNCT
cana-1232	175	15	formula	formula	NOUN
cana-1232	175	16	for	for	ADP
cana-1232	175	17	calculation	calculation	NOUN
cana-1232	175	18	criteria	criterion	NOUN
cana-1232	175	19	fidelity	fidelity	NOUN
cana-1232	175	20	-	-	PUNCT
cana-1232	175	21	guided	guide	VERB
cana-1232	175	22	restoration	restoration	NOUN
cana-1232	175	23	(	(	PUNCT
cana-1232	175	24	fgr	fgr	PROPN
cana-1232	175	25	)	)	PUNCT
cana-1232	175	26	existing	exist	VERB
cana-1232	175	27	systems	system	NOUN
cana-1232	175	28	noise	noise	NOUN
cana-1232	175	29	reduction	reduction	NOUN
cana-1232	175	30	effective	effective	ADJ
cana-1232	175	31	,	,	PUNCT
cana-1232	175	32	leveraging	leverage	VERB
cana-1232	175	33	deep	deep	ADJ
cana-1232	175	34	learning	learning	NOUN
cana-1232	175	35	techniques	technique	NOUN
cana-1232	175	36	variable	variable	ADJ
cana-1232	175	37	effectiveness	effectiveness	NOUN
cana-1232	175	38	;	;	PUNCT
cana-1232	175	39	some	some	DET
cana-1232	175	40	methods	method	NOUN
cana-1232	175	41	prioritize	prioritize	VERB
cana-1232	175	42	noise	noise	NOUN
cana-1232	175	43	reduction	reduction	NOUN
cana-1232	175	44	over	over	ADP
cana-1232	175	45	texture	texture	ADJ
cana-1232	175	46	preservation	preservation	NOUN
cana-1232	175	47	texture	texture	NOUN
cana-1232	175	48	preservation	preservation	NOUN
cana-1232	175	49	emphasized	emphasize	VERB
cana-1232	175	50	through	through	ADP
cana-1232	175	51	fidelity	fidelity	NOUN
cana-1232	175	52	regularization	regularization	NOUN
cana-1232	175	53	and	and	CCONJ
cana-1232	175	54	perceptual	perceptual	ADJ
cana-1232	175	55	loss	loss	NOUN
cana-1232	175	56	functions	function	NOUN
cana-1232	175	57	may	may	AUX
cana-1232	175	58	struggle	struggle	VERB
cana-1232	175	59	to	to	PART
cana-1232	175	60	preserve	preserve	VERB
cana-1232	175	61	fine	fine	ADJ
cana-1232	175	62	textures	texture	NOUN
cana-1232	175	63	while	while	SCONJ
cana-1232	175	64	reducing	reduce	VERB
cana-1232	175	65	noise	noise	NOUN
cana-1232	175	66	adaptability	adaptability	NOUN
cana-1232	175	67	adaptable	adaptable	ADJ
cana-1232	175	68	to	to	PART
cana-1232	175	69	diverse	diverse	VERB
cana-1232	175	70	image	image	NOUN
cana-1232	175	71	characteristics	characteristic	NOUN
cana-1232	175	72	and	and	CCONJ
cana-1232	175	73	noise	noise	NOUN
cana-1232	175	74	patterns	pattern	NOUN
cana-1232	175	75	often	often	ADV
cana-1232	175	76	limited	limit	VERB
cana-1232	175	77	by	by	ADP
cana-1232	175	78	fixed	fix	VERB
cana-1232	175	79	filters	filter	NOUN
cana-1232	175	80	or	or	CCONJ
cana-1232	175	81	predefined	predefine	VERB
cana-1232	175	82	models	model	NOUN
cana-1232	175	83	computational	computational	ADJ
cana-1232	175	84	optimized	optimize	VERB
cana-1232	175	85	for	for	ADP
cana-1232	175	86	efficiency	efficiency	NOUN
cana-1232	175	87	,	,	PUNCT
cana-1232	175	88	suitable	suitable	ADJ
cana-1232	175	89	deep	deep	ADJ
cana-1232	175	90	learning	learning	NOUN
cana-1232	175	91	methods	method	NOUN
cana-1232	175	92	can	can	AUX
cana-1232	175	93	be	be	AUX
cana-1232	175	94	communications	communication	NOUN
cana-1232	175	95	on	on	ADP
cana-1232	175	96	applied	apply	VERB
cana-1232	175	97	nonlinear	nonlinear	ADJ
cana-1232	175	98	analysis	analysis	NOUN
cana-1232	175	99	issn	issn	NOUN
cana-1232	175	100	:	:	PUNCT
cana-1232	175	101	1074	1074	NUM
cana-1232	175	102	-	-	PUNCT
cana-1232	175	103	133x	133x	NUM
cana-1232	175	104	vol	vol	NOUN
cana-1232	175	105	31	31	NUM
cana-1232	175	106	no	no	NOUN
cana-1232	175	107	.	.	PUNCT
cana-1232	176	1	6s	6s	NUM
cana-1232	176	2	(	(	PUNCT
cana-1232	176	3	2024	2024	NUM
cana-1232	176	4	)	)	PUNCT
cana-1232	176	5	411	411	NUM
cana-1232	176	6	https://internationalpubls.com	https://internationalpubls.com	NOUN
cana-1232	176	7	efficiency	efficiency	NOUN
cana-1232	176	8	for	for	ADP
cana-1232	176	9	real	real	ADJ
cana-1232	176	10	-	-	PUNCT
cana-1232	176	11	time	time	NOUN
cana-1232	176	12	applications	application	NOUN
cana-1232	176	13	computationally	computationally	ADV
cana-1232	176	14	intensive	intensive	ADJ
cana-1232	176	15	interpretability	interpretability	NOUN
cana-1232	176	16	provides	provide	VERB
cana-1232	176	17	interpretability	interpretability	NOUN
cana-1232	176	18	,	,	PUNCT
cana-1232	176	19	users	user	NOUN
cana-1232	176	20	can	can	AUX
cana-1232	176	21	understand	understand	VERB
cana-1232	176	22	restoration	restoration	NOUN
cana-1232	176	23	decisions	decision	NOUN
cana-1232	176	24	deep	deep	ADJ
cana-1232	176	25	learning	learning	NOUN
cana-1232	176	26	models	model	NOUN
cana-1232	176	27	often	often	ADV
cana-1232	176	28	considered	consider	VERB
cana-1232	176	29	black	black	ADJ
cana-1232	176	30	-	-	PUNCT
cana-1232	176	31	box	box	NOUN
cana-1232	176	32	handling	handling	NOUN
cana-1232	176	33	complex	complex	ADJ
cana-1232	176	34	noise	noise	NOUN
cana-1232	176	35	patterns	pattern	NOUN
cana-1232	176	36	can	can	AUX
cana-1232	176	37	handle	handle	VERB
cana-1232	176	38	diverse	diverse	ADJ
cana-1232	176	39	noise	noise	NOUN
cana-1232	176	40	patterns	pattern	NOUN
cana-1232	176	41	including	include	VERB
cana-1232	176	42	non	non	ADJ
cana-1232	176	43	-	-	ADJ
cana-1232	176	44	gaussian	gaussian	ADJ
cana-1232	176	45	types	type	NOUN
cana-1232	176	46	some	some	DET
cana-1232	176	47	systems	system	NOUN
cana-1232	176	48	struggle	struggle	VERB
cana-1232	176	49	with	with	ADP
cana-1232	176	50	complex	complex	ADJ
cana-1232	176	51	or	or	CCONJ
cana-1232	176	52	spatially	spatially	ADV
cana-1232	176	53	varying	vary	VERB
cana-1232	176	54	noise	noise	NOUN
cana-1232	176	55	quality	quality	NOUN
cana-1232	176	56	of	of	ADP
cana-1232	176	57	restoration	restoration	NOUN
cana-1232	176	58	high	high	ADJ
cana-1232	176	59	-	-	PUNCT
cana-1232	176	60	quality	quality	NOUN
cana-1232	176	61	results	result	NOUN
cana-1232	176	62	with	with	ADP
cana-1232	176	63	enhanced	enhanced	ADJ
cana-1232	176	64	preservation	preservation	NOUN
cana-1232	176	65	of	of	ADP
cana-1232	176	66	fine	fine	ADJ
cana-1232	176	67	details	detail	NOUN
cana-1232	176	68	varied	varied	ADJ
cana-1232	176	69	performance	performance	NOUN
cana-1232	176	70	based	base	VERB
cana-1232	176	71	on	on	ADP
cana-1232	176	72	method	method	NOUN
cana-1232	176	73	and	and	CCONJ
cana-1232	176	74	implementation	implementation	NOUN
cana-1232	176	75	table	table	NOUN
cana-1232	176	76	2	2	NUM
cana-1232	176	77	:	:	PUNCT
cana-1232	176	78	comparison	comparison	NOUN
cana-1232	176	79	of	of	ADP
cana-1232	176	80	fidelity	fidelity	NOUN
cana-1232	176	81	-	-	PUNCT
cana-1232	176	82	guided	guide	VERB
cana-1232	176	83	restoration	restoration	NOUN
cana-1232	176	84	(	(	PUNCT
cana-1232	176	85	fgr	fgr	PROPN
cana-1232	176	86	)	)	PUNCT
cana-1232	176	87	with	with	ADP
cana-1232	176	88	existing	exist	VERB
cana-1232	176	89	systems	system	NOUN
cana-1232	176	90	2	2	NUM
cana-1232	176	91	.	.	PUNCT
cana-1232	176	92	visual	visual	ADJ
cana-1232	176	93	evaluation	evaluation	NOUN
cana-1232	176	94	:	:	PUNCT
cana-1232	176	95	visual	visual	ADJ
cana-1232	176	96	evaluation	evaluation	NOUN
cana-1232	176	97	plays	play	VERB
cana-1232	176	98	an	an	DET
cana-1232	176	99	important	important	ADJ
cana-1232	176	100	function	function	NOUN
cana-1232	176	101	in	in	ADP
cana-1232	176	102	assessing	assess	VERB
cana-1232	176	103	the	the	DET
cana-1232	176	104	perceptual	perceptual	ADJ
cana-1232	176	105	quality	quality	NOUN
cana-1232	176	106	and	and	CCONJ
cana-1232	176	107	preservation	preservation	NOUN
cana-1232	176	108	of	of	ADP
cana-1232	176	109	fine	fine	ADJ
cana-1232	176	110	image	image	NOUN
cana-1232	176	111	details	detail	NOUN
cana-1232	176	112	and	and	CCONJ
cana-1232	176	113	textures	texture	NOUN
cana-1232	176	114	.	.	PUNCT
cana-1232	177	1	the	the	DET
cana-1232	177	2	restored	restore	VERB
cana-1232	177	3	images	image	NOUN
cana-1232	177	4	produced	produce	VERB
cana-1232	177	5	by	by	ADP
cana-1232	177	6	the	the	DET
cana-1232	177	7	fgr	fgr	PROPN
cana-1232	177	8	system	system	NOUN
cana-1232	177	9	can	can	AUX
cana-1232	177	10	be	be	AUX
cana-1232	177	11	visually	visually	ADV
cana-1232	177	12	compared	compare	VERB
cana-1232	177	13	against	against	ADP
cana-1232	177	14	the	the	DET
cana-1232	177	15	ground	ground	NOUN
cana-1232	177	16	truth	truth	NOUN
cana-1232	177	17	clean	clean	ADJ
cana-1232	177	18	images	image	NOUN
cana-1232	177	19	and	and	CCONJ
cana-1232	177	20	images	image	NOUN
cana-1232	177	21	restored	restore	VERB
cana-1232	177	22	by	by	ADP
cana-1232	177	23	existing	exist	VERB
cana-1232	177	24	methods	method	NOUN
cana-1232	177	25	.	.	PUNCT
cana-1232	178	1	the	the	DET
cana-1232	178	2	experimental	experimental	ADJ
cana-1232	178	3	results	result	NOUN
cana-1232	178	4	will	will	AUX
cana-1232	178	5	demonstrate	demonstrate	VERB
cana-1232	178	6	the	the	DET
cana-1232	178	7	fgr	fgr	PROPN
cana-1232	178	8	system	system	NOUN
cana-1232	178	9	's	's	PART
cana-1232	178	10	ability	ability	NOUN
cana-1232	178	11	to	to	PART
cana-1232	178	12	enhance	enhance	VERB
cana-1232	178	13	image	image	NOUN
cana-1232	178	14	details	detail	NOUN
cana-1232	178	15	while	while	SCONJ
cana-1232	178	16	reducing	reduce	VERB
cana-1232	178	17	noise	noise	NOUN
cana-1232	178	18	,	,	PUNCT
cana-1232	178	19	resulting	result	VERB
cana-1232	178	20	in	in	ADP
cana-1232	178	21	visually	visually	ADV
cana-1232	178	22	pleasing	pleasing	ADJ
cana-1232	178	23	and	and	CCONJ
cana-1232	178	24	natural	natural	ADJ
cana-1232	178	25	-	-	PUNCT
cana-1232	178	26	looking	look	VERB
cana-1232	178	27	restored	restore	VERB
cana-1232	178	28	images	image	NOUN
cana-1232	178	29	.	.	PUNCT
cana-1232	179	1	3	3	X
cana-1232	179	2	.	.	X
cana-1232	179	3	comparison	comparison	NOUN
cana-1232	179	4	with	with	ADP
cana-1232	179	5	existing	exist	VERB
cana-1232	179	6	methods	method	NOUN
cana-1232	179	7	:	:	PUNCT
cana-1232	179	8	the	the	DET
cana-1232	179	9	fgr	fgr	NOUN
cana-1232	179	10	system	system	NOUN
cana-1232	179	11	can	can	AUX
cana-1232	179	12	be	be	AUX
cana-1232	179	13	compared	compare	VERB
cana-1232	179	14	against	against	ADP
cana-1232	179	15	existing	exist	VERB
cana-1232	179	16	image	image	NOUN
cana-1232	179	17	restoration	restoration	NOUN
cana-1232	179	18	methods	method	NOUN
cana-1232	179	19	,	,	PUNCT
cana-1232	179	20	including	include	VERB
cana-1232	179	21	traditional	traditional	ADJ
cana-1232	179	22	filtering	filtering	NOUN
cana-1232	179	23	methodologies	methodology	NOUN
cana-1232	179	24	and	and	CCONJ
cana-1232	179	25	current	current	ADJ
cana-1232	179	26	,	,	PUNCT
cana-1232	179	27	deep	deep	ADJ
cana-1232	179	28	learning	learning	NOUN
cana-1232	179	29	-	-	PUNCT
cana-1232	179	30	based	base	VERB
cana-1232	179	31	methods	method	NOUN
cana-1232	179	32	.	.	PUNCT
cana-1232	180	1	the	the	DET
cana-1232	180	2	outcome	outcome	NOUN
cana-1232	180	3	of	of	ADP
cana-1232	180	4	the	the	DET
cana-1232	180	5	experiment	experiment	NOUN
cana-1232	180	6	will	will	AUX
cana-1232	180	7	showcase	showcase	VERB
cana-1232	180	8	the	the	DET
cana-1232	180	9	superiority	superiority	NOUN
cana-1232	180	10	of	of	ADP
cana-1232	180	11	the	the	DET
cana-1232	180	12	fgr	fgr	NOUN
cana-1232	180	13	system	system	NOUN
cana-1232	180	14	in	in	ADP
cana-1232	180	15	terms	term	NOUN
cana-1232	180	16	of	of	ADP
cana-1232	180	17	its	its	PRON
cana-1232	180	18	ability	ability	NOUN
cana-1232	180	19	to	to	PART
cana-1232	180	20	achieve	achieve	VERB
cana-1232	180	21	a	a	DET
cana-1232	180	22	balance	balance	NOUN
cana-1232	180	23	between	between	ADP
cana-1232	180	24	texture	texture	ADJ
cana-1232	180	25	retention	retention	NOUN
cana-1232	180	26	and	and	CCONJ
cana-1232	180	27	noise	noise	NOUN
cana-1232	180	28	reduction	reduction	NOUN
cana-1232	180	29	.	.	PUNCT
cana-1232	181	1	it	it	PRON
cana-1232	181	2	is	be	AUX
cana-1232	181	3	expected	expect	VERB
cana-1232	181	4	that	that	SCONJ
cana-1232	181	5	the	the	DET
cana-1232	181	6	fgr	fgr	PROPN
cana-1232	181	7	system	system	NOUN
cana-1232	181	8	will	will	AUX
cana-1232	181	9	outperform	outperform	VERB
cana-1232	181	10	existing	exist	VERB
cana-1232	181	11	methods	method	NOUN
cana-1232	181	12	in	in	ADP
cana-1232	181	13	preserving	preserve	VERB
cana-1232	181	14	fine	fine	ADJ
cana-1232	181	15	details	detail	NOUN
cana-1232	181	16	and	and	CCONJ
cana-1232	181	17	textures	texture	NOUN
cana-1232	181	18	while	while	SCONJ
cana-1232	181	19	effectively	effectively	ADV
cana-1232	181	20	reducing	reduce	VERB
cana-1232	181	21	noise	noise	NOUN
cana-1232	181	22	.	.	PUNCT
cana-1232	182	1	4	4	X
cana-1232	182	2	.	.	X
cana-1232	182	3	qualitative	qualitative	ADJ
cana-1232	182	4	analysis	analysis	NOUN
cana-1232	182	5	:	:	PUNCT
cana-1232	182	6	a	a	DET
cana-1232	182	7	qualitative	qualitative	ADJ
cana-1232	182	8	analysis	analysis	NOUN
cana-1232	182	9	can	can	AUX
cana-1232	182	10	be	be	AUX
cana-1232	182	11	conducted	conduct	VERB
cana-1232	182	12	to	to	PART
cana-1232	182	13	analyze	analyze	VERB
cana-1232	182	14	specific	specific	ADJ
cana-1232	182	15	cases	case	NOUN
cana-1232	182	16	where	where	SCONJ
cana-1232	182	17	the	the	DET
cana-1232	182	18	fgr	fgr	PROPN
cana-1232	182	19	system	system	NOUN
cana-1232	182	20	excels	excel	VERB
cana-1232	182	21	in	in	ADP
cana-1232	182	22	preserving	preserve	VERB
cana-1232	182	23	image	image	NOUN
cana-1232	182	24	details	detail	NOUN
cana-1232	182	25	and	and	CCONJ
cana-1232	182	26	textures	texture	NOUN
cana-1232	182	27	.	.	PUNCT
cana-1232	183	1	this	this	DET
cana-1232	183	2	analysis	analysis	NOUN
cana-1232	183	3	can	can	AUX
cana-1232	183	4	involve	involve	VERB
cana-1232	183	5	zooming	zoom	VERB
cana-1232	183	6	into	into	ADP
cana-1232	183	7	specific	specific	ADJ
cana-1232	183	8	regions	region	NOUN
cana-1232	183	9	of	of	ADP
cana-1232	183	10	interest	interest	NOUN
cana-1232	183	11	in	in	ADP
cana-1232	183	12	the	the	DET
cana-1232	183	13	restored	restore	VERB
cana-1232	183	14	images	image	NOUN
cana-1232	183	15	and	and	CCONJ
cana-1232	183	16	comparing	compare	VERB
cana-1232	183	17	them	they	PRON
cana-1232	183	18	with	with	ADP
cana-1232	183	19	the	the	DET
cana-1232	183	20	ground	ground	NOUN
cana-1232	183	21	truth	truth	NOUN
cana-1232	183	22	clean	clean	ADJ
cana-1232	183	23	images	image	NOUN
cana-1232	183	24	.	.	PUNCT
cana-1232	184	1	the	the	DET
cana-1232	184	2	experimental	experimental	ADJ
cana-1232	184	3	results	result	NOUN
cana-1232	184	4	will	will	AUX
cana-1232	184	5	highlight	highlight	VERB
cana-1232	184	6	the	the	DET
cana-1232	184	7	fgr	fgr	PROPN
cana-1232	184	8	system	system	NOUN
cana-1232	184	9	's	's	PART
cana-1232	184	10	novel	novel	ADJ
cana-1232	184	11	approach	approach	NOUN
cana-1232	184	12	in	in	ADP
cana-1232	184	13	preserving	preserve	VERB
cana-1232	184	14	intricate	intricate	ADJ
cana-1232	184	15	textures	texture	NOUN
cana-1232	184	16	and	and	CCONJ
cana-1232	184	17	fine	fine	ADJ
cana-1232	184	18	details	detail	NOUN
cana-1232	184	19	,	,	PUNCT
cana-1232	184	20	leading	lead	VERB
cana-1232	184	21	to	to	ADP
cana-1232	184	22	sharper	sharp	ADJ
cana-1232	184	23	and	and	CCONJ
cana-1232	184	24	more	more	ADV
cana-1232	184	25	visually	visually	ADV
cana-1232	184	26	appealing	appealing	ADJ
cana-1232	184	27	outcomes	outcome	NOUN
cana-1232	184	28	.	.	PUNCT
cana-1232	185	1	10	10	NUM
cana-1232	185	2	.	.	PUNCT
cana-1232	185	3	performance	performance	NOUN
cana-1232	185	4	evaluation	evaluation	NOUN
cana-1232	185	5	metrics	metric	NOUN
cana-1232	185	6	when	when	SCONJ
cana-1232	185	7	evaluating	evaluate	VERB
cana-1232	185	8	the	the	DET
cana-1232	185	9	performance	performance	NOUN
cana-1232	185	10	of	of	ADP
cana-1232	185	11	the	the	DET
cana-1232	185	12	fidelity	fidelity	NOUN
cana-1232	185	13	-	-	PUNCT
cana-1232	185	14	guided	guide	VERB
cana-1232	185	15	restoration	restoration	NOUN
cana-1232	185	16	(	(	PUNCT
cana-1232	185	17	fgr	fgr	NOUN
cana-1232	185	18	)	)	PUNCT
cana-1232	185	19	system	system	NOUN
cana-1232	185	20	on	on	ADP
cana-1232	185	21	the	the	DET
cana-1232	185	22	diverse	diverse	ADJ
cana-1232	185	23	2k	2k	NOUN
cana-1232	185	24	resolution	resolution	NOUN
cana-1232	185	25	dataset	dataset	NOUN
cana-1232	185	26	(	(	PUNCT
cana-1232	185	27	div2k	div2k	PROPN
cana-1232	185	28	)	)	PUNCT
cana-1232	185	29	,	,	PUNCT
cana-1232	185	30	several	several	ADJ
cana-1232	185	31	performance	performance	NOUN
cana-1232	185	32	evaluation	evaluation	NOUN
cana-1232	185	33	measures	measure	NOUN
cana-1232	185	34	can	can	AUX
cana-1232	185	35	be	be	AUX
cana-1232	185	36	applied	apply	VERB
cana-1232	185	37	to	to	PART
cana-1232	185	38	rate	rate	VERB
cana-1232	185	39	the	the	DET
cana-1232	185	40	recovered	recovered	ADJ
cana-1232	185	41	photos	photo	NOUN
cana-1232	185	42	'	'	PART
cana-1232	185	43	quality	quality	NOUN
cana-1232	185	44	.	.	PUNCT
cana-1232	186	1	these	these	PRON
cana-1232	186	2	are	be	AUX
cana-1232	186	3	a	a	DET
cana-1232	186	4	few	few	ADJ
cana-1232	186	5	popular	popular	ADJ
cana-1232	186	6	measurements	measurement	NOUN
cana-1232	186	7	:	:	PUNCT
cana-1232	187	1	1	1	X
cana-1232	187	2	.	.	X
cana-1232	187	3	psnr	psnr	NOUN
cana-1232	187	4	(	(	PUNCT
cana-1232	187	5	peak	peak	NOUN
cana-1232	187	6	signal	signal	NOUN
cana-1232	187	7	-	-	PUNCT
cana-1232	187	8	to	to	ADP
cana-1232	187	9	-	-	PUNCT
cana-1232	187	10	noise	noise	NOUN
cana-1232	187	11	ratio	ratio	NOUN
cana-1232	187	12	):	):	PUNCT
cana-1232	187	13	psnr	psnr	NOUN
cana-1232	187	14	is	be	AUX
cana-1232	187	15	a	a	DET
cana-1232	187	16	commonly	commonly	ADV
cana-1232	187	17	employed	employ	VERB
cana-1232	187	18	statistic	statistic	NOUN
cana-1232	187	19	to	to	PART
cana-1232	187	20	assess	assess	VERB
cana-1232	187	21	the	the	DET
cana-1232	187	22	fidelity	fidelity	NOUN
cana-1232	187	23	of	of	ADP
cana-1232	187	24	restored	restore	VERB
cana-1232	187	25	images	image	NOUN
cana-1232	187	26	compared	compare	VERB
cana-1232	187	27	to	to	ADP
cana-1232	187	28	the	the	DET
cana-1232	187	29	real	real	ADJ
cana-1232	187	30	truth	truth	NOUN
cana-1232	187	31	,	,	PUNCT
cana-1232	187	32	clear	clear	ADJ
cana-1232	187	33	photos	photo	NOUN
cana-1232	187	34	.	.	PUNCT
cana-1232	188	1	it	it	PRON
cana-1232	188	2	calculates	calculate	VERB
cana-1232	188	3	the	the	DET
cana-1232	188	4	difference	difference	NOUN
cana-1232	188	5	between	between	ADP
cana-1232	188	6	the	the	DET
cana-1232	188	7	mean	mean	ADJ
cana-1232	188	8	squared	square	VERB
cana-1232	188	9	error	error	NOUN
cana-1232	188	10	of	of	ADP
cana-1232	188	11	the	the	DET
cana-1232	188	12	cleaned	clean	VERB
cana-1232	188	13	and	and	CCONJ
cana-1232	188	14	restored	restore	VERB
cana-1232	188	15	photos	photo	NOUN
cana-1232	188	16	and	and	CCONJ
cana-1232	188	17	the	the	DET
cana-1232	188	18	highest	high	ADJ
cana-1232	188	19	permissible	permissible	ADJ
cana-1232	188	20	pixel	pixel	PROPN
cana-1232	188	21	value	value	NOUN
cana-1232	188	22	.	.	PUNCT
cana-1232	189	1	higher	high	ADJ
cana-1232	189	2	psnr	psnr	NOUN
cana-1232	189	3	values	value	NOUN
cana-1232	189	4	indicate	indicate	VERB
cana-1232	189	5	better	well	ADJ
cana-1232	189	6	restoration	restoration	NOUN
cana-1232	189	7	quality	quality	NOUN
cana-1232	189	8	.	.	PUNCT
cana-1232	190	1	2	2	X
cana-1232	190	2	.	.	X
cana-1232	190	3	structural	structural	ADJ
cana-1232	190	4	similarity	similarity	NOUN
cana-1232	190	5	index	index	NOUN
cana-1232	190	6	(	(	PUNCT
cana-1232	190	7	ssim	ssim	NOUN
cana-1232	190	8	)	)	PUNCT
cana-1232	190	9	determines	determine	VERB
cana-1232	190	10	exactly	exactly	ADV
cana-1232	190	11	structurally	structurally	ADV
cana-1232	190	12	comparable	comparable	ADJ
cana-1232	190	13	restored	restore	VERB
cana-1232	190	14	and	and	CCONJ
cana-1232	190	15	unaltered	unaltered	ADJ
cana-1232	190	16	pictures	picture	NOUN
cana-1232	190	17	are	be	AUX
cana-1232	190	18	,	,	PUNCT
cana-1232	190	19	structural	structural	ADJ
cana-1232	190	20	similarity	similarity	NOUN
cana-1232	190	21	index	index	NOUN
cana-1232	190	22	(	(	PUNCT
cana-1232	190	23	ssim	ssim	NOUN
cana-1232	190	24	)	)	PUNCT
cana-1232	190	25	calculates	calculate	VERB
cana-1232	190	26	how	how	SCONJ
cana-1232	190	27	structurally	structurally	ADV
cana-1232	190	28	comparable	comparable	ADJ
cana-1232	190	29	restored	restore	VERB
cana-1232	190	30	and	and	CCONJ
cana-1232	190	31	unaltered	unaltered	ADJ
cana-1232	190	32	pictures	picture	NOUN
cana-1232	190	33	are.it	are.it	NOUN
cana-1232	190	34	evaluates	evaluate	VERB
cana-1232	190	35	picture	picture	NOUN
cana-1232	190	36	similarity	similarity	NOUN
cana-1232	190	37	by	by	ADP
cana-1232	190	38	taking	take	VERB
cana-1232	190	39	brightness	brightness	NOUN
cana-1232	190	40	,	,	PUNCT
cana-1232	190	41	contrast	contrast	NOUN
cana-1232	190	42	,	,	PUNCT
cana-1232	190	43	and	and	CCONJ
cana-1232	190	44	structural	structural	ADJ
cana-1232	190	45	factors	factor	NOUN
cana-1232	190	46	into	into	ADP
cana-1232	190	47	account	account	NOUN
cana-1232	190	48	.	.	PUNCT
cana-1232	191	1	from	from	ADP
cana-1232	191	2	0	0	NUM
cana-1232	191	3	to	to	ADP
cana-1232	191	4	1	1	NUM
cana-1232	191	5	,	,	PUNCT
cana-1232	191	6	the	the	DET
cana-1232	191	7	ssim	ssim	NOUN
cana-1232	191	8	scale	scale	NOUN
cana-1232	191	9	measures	measure	NOUN
cana-1232	191	10	degree	degree	NOUN
cana-1232	191	11	of	of	ADP
cana-1232	191	12	similarity	similarity	NOUN
cana-1232	191	13	.	.	PUNCT
cana-1232	192	1	communications	communication	NOUN
cana-1232	192	2	on	on	ADP
cana-1232	192	3	applied	apply	VERB
cana-1232	192	4	nonlinear	nonlinear	ADJ
cana-1232	192	5	analysis	analysis	NOUN
cana-1232	192	6	issn	issn	NOUN
cana-1232	192	7	:	:	PUNCT
cana-1232	192	8	1074	1074	NUM
cana-1232	192	9	-	-	PUNCT
cana-1232	192	10	133x	133x	NUM
cana-1232	192	11	vol	vol	NOUN
cana-1232	192	12	31	31	NUM
cana-1232	192	13	no	no	NOUN
cana-1232	192	14	.	.	PUNCT
cana-1232	193	1	6s	6s	NUM
cana-1232	193	2	(	(	PUNCT
cana-1232	193	3	2024	2024	NUM
cana-1232	193	4	)	)	PUNCT
cana-1232	193	5	412	412	NUM
cana-1232	193	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	193	7	3	3	X
cana-1232	193	8	.	.	PUNCT
cana-1232	194	1	the	the	DET
cana-1232	194	2	mean	mean	ADJ
cana-1232	194	3	squares	square	NOUN
cana-1232	194	4	variance	variance	NOUN
cana-1232	194	5	among	among	ADP
cana-1232	194	6	the	the	DET
cana-1232	194	7	cleaned	clean	VERB
cana-1232	194	8	and	and	CCONJ
cana-1232	194	9	restored	restore	VERB
cana-1232	194	10	pictures	picture	NOUN
cana-1232	194	11	is	be	AUX
cana-1232	194	12	measured	measure	VERB
cana-1232	194	13	by	by	ADP
cana-1232	194	14	the	the	DET
cana-1232	194	15	mean	mean	ADJ
cana-1232	194	16	square	square	NOUN
cana-1232	194	17	error	error	NOUN
cana-1232	194	18	,	,	PUNCT
cana-1232	194	19	or	or	CCONJ
cana-1232	194	20	mse	mse	NOUN
cana-1232	194	21	.	.	PUNCT
cana-1232	195	1	lower	lower	PROPN
cana-1232	195	2	mse	mse	PROPN
cana-1232	195	3	values	value	NOUN
cana-1232	195	4	suggest	suggest	VERB
cana-1232	195	5	improved	improve	VERB
cana-1232	195	6	restoration	restoration	NOUN
cana-1232	195	7	accuracy	accuracy	NOUN
cana-1232	195	8	.	.	PUNCT
cana-1232	196	1	4	4	X
cana-1232	196	2	.	.	X
cana-1232	196	3	“	"	PUNCT
cana-1232	196	4	root	root	NOUN
cana-1232	196	5	mean	mean	NOUN
cana-1232	196	6	square	square	ADJ
cana-1232	196	7	error	error	NOUN
cana-1232	196	8	(	(	PUNCT
cana-1232	196	9	rmse	rmse	NOUN
cana-1232	196	10	):	):	PUNCT
cana-1232	196	11	rmse	rmse	PROPN
cana-1232	196	12	is	be	AUX
cana-1232	196	13	the	the	DET
cana-1232	196	14	square	square	ADJ
cana-1232	196	15	roots	root	NOUN
cana-1232	196	16	of	of	ADP
cana-1232	196	17	the	the	DET
cana-1232	196	18	mse	mse	NOUN
cana-1232	196	19	delivers	deliver	VERB
cana-1232	196	20	an	an	DET
cana-1232	196	21	estimate	estimate	NOUN
cana-1232	196	22	of	of	ADP
cana-1232	196	23	the	the	DET
cana-1232	196	24	typical	typical	ADJ
cana-1232	196	25	variance	variance	NOUN
cana-1232	196	26	between	between	ADP
cana-1232	196	27	the	the	DET
cana-1232	196	28	restored	restore	VERB
cana-1232	196	29	and	and	CCONJ
cana-1232	196	30	clean	clean	ADJ
cana-1232	196	31	images	image	NOUN
cana-1232	196	32	”	"	PUNCT
cana-1232	196	33	.	.	PUNCT
cana-1232	197	1	lower	low	ADJ
cana-1232	197	2	rmse	rmse	PROPN
cana-1232	197	3	values	value	NOUN
cana-1232	197	4	indicate	indicate	VERB
cana-1232	197	5	better	well	ADJ
cana-1232	197	6	restoration	restoration	NOUN
cana-1232	197	7	quality	quality	NOUN
cana-1232	197	8	.	.	PUNCT
cana-1232	198	1	5	5	X
cana-1232	198	2	.	.	X
cana-1232	198	3	visual	visual	ADJ
cana-1232	198	4	information	information	NOUN
cana-1232	198	5	fidelity	fidelity	PROPN
cana-1232	198	6	(	(	PUNCT
cana-1232	198	7	vif	vif	PROPN
cana-1232	198	8	):	):	PUNCT
cana-1232	198	9	vif	vif	NOUN
cana-1232	198	10	is	be	AUX
cana-1232	198	11	a	a	DET
cana-1232	198	12	perception	perception	NOUN
cana-1232	198	13	-	-	PUNCT
cana-1232	198	14	quality	quality	NOUN
cana-1232	198	15	scale	scale	NOUN
cana-1232	198	16	that	that	PRON
cana-1232	198	17	assesses	assess	VERB
cana-1232	198	18	imagery	imagery	NOUN
cana-1232	198	19	preservation	preservation	NOUN
cana-1232	198	20	in	in	ADP
cana-1232	198	21	restored	restore	VERB
cana-1232	198	22	images	image	NOUN
cana-1232	198	23	.	.	PUNCT
cana-1232	199	1	it	it	PRON
cana-1232	199	2	quantifies	quantify	VERB
cana-1232	199	3	the	the	DET
cana-1232	199	4	resemblance	resemblance	NOUN
cana-1232	199	5	in	in	ADP
cana-1232	199	6	structure	structure	NOUN
cana-1232	199	7	,	,	PUNCT
cana-1232	199	8	contrast	contrast	NOUN
cana-1232	199	9	,	,	PUNCT
cana-1232	199	10	and	and	CCONJ
cana-1232	199	11	brightness	brightness	NOUN
cana-1232	199	12	between	between	ADP
cana-1232	199	13	the	the	DET
cana-1232	199	14	restored	restore	VERB
cana-1232	199	15	and	and	CCONJ
cana-1232	199	16	clean	clean	ADJ
cana-1232	199	17	images	image	NOUN
cana-1232	199	18	.	.	PUNCT
cana-1232	200	1	higher	high	ADJ
cana-1232	200	2	vif	vif	NOUN
cana-1232	200	3	values	value	NOUN
cana-1232	200	4	indicate	indicate	VERB
cana-1232	200	5	better	well	ADJ
cana-1232	200	6	restoration	restoration	NOUN
cana-1232	200	7	quality	quality	NOUN
cana-1232	200	8	.	.	PUNCT
cana-1232	201	1	6	6	X
cana-1232	201	2	.	.	X
cana-1232	201	3	mean	mean	ADJ
cana-1232	201	4	opinion	opinion	NOUN
cana-1232	201	5	score	score	NOUN
cana-1232	201	6	(	(	PUNCT
cana-1232	201	7	mos	mos	ADJ
cana-1232	201	8	):	):	PUNCT
cana-1232	201	9	mos	mos	PROPN
cana-1232	201	10	is	be	AUX
cana-1232	201	11	a	a	DET
cana-1232	201	12	qualitative	qualitative	ADJ
cana-1232	201	13	measure	measure	NOUN
cana-1232	201	14	in	in	ADP
cana-1232	201	15	which	which	PRON
cana-1232	201	16	human	human	ADJ
cana-1232	201	17	observers	observer	NOUN
cana-1232	201	18	assess	assess	VERB
cana-1232	201	19	the	the	DET
cana-1232	201	20	quality	quality	NOUN
cana-1232	201	21	of	of	ADP
cana-1232	201	22	the	the	DET
cana-1232	201	23	restored	restore	VERB
cana-1232	201	24	images	image	NOUN
cana-1232	201	25	on	on	ADP
cana-1232	201	26	a	a	DET
cana-1232	201	27	scale	scale	NOUN
cana-1232	201	28	.	.	PUNCT
cana-1232	202	1	it	it	PRON
cana-1232	202	2	involves	involve	VERB
cana-1232	202	3	conducting	conduct	VERB
cana-1232	202	4	subjective	subjective	ADJ
cana-1232	202	5	evaluations	evaluation	NOUN
cana-1232	202	6	and	and	CCONJ
cana-1232	202	7	gathering	gather	VERB
cana-1232	202	8	opinions	opinion	NOUN
cana-1232	202	9	from	from	ADP
cana-1232	202	10	multiple	multiple	ADJ
cana-1232	202	11	human	human	ADJ
cana-1232	202	12	assessors	assessor	NOUN
cana-1232	202	13	.	.	PUNCT
cana-1232	203	1	these	these	DET
cana-1232	203	2	performance	performance	NOUN
cana-1232	203	3	evaluation	evaluation	NOUN
cana-1232	203	4	metrics	metric	NOUN
cana-1232	203	5	provide	provide	VERB
cana-1232	203	6	both	both	CCONJ
cana-1232	203	7	objective	objective	ADJ
cana-1232	203	8	and	and	CCONJ
cana-1232	203	9	subjective	subjective	ADJ
cana-1232	203	10	measures	measure	NOUN
cana-1232	203	11	of	of	ADP
cana-1232	203	12	the	the	DET
cana-1232	203	13	restoration	restoration	NOUN
cana-1232	203	14	quality	quality	NOUN
cana-1232	203	15	achieved	achieve	VERB
cana-1232	203	16	by	by	ADP
cana-1232	203	17	the	the	DET
cana-1232	203	18	fgr	fgr	PROPN
cana-1232	203	19	system	system	NOUN
cana-1232	203	20	.	.	PUNCT
cana-1232	204	1	the	the	DET
cana-1232	204	2	metrics	metric	NOUN
cana-1232	204	3	assess	assess	VERB
cana-1232	204	4	various	various	ADJ
cana-1232	204	5	aspects	aspect	NOUN
cana-1232	204	6	,	,	PUNCT
cana-1232	204	7	including	include	VERB
cana-1232	204	8	fidelity	fidelity	NOUN
cana-1232	204	9	to	to	ADP
cana-1232	204	10	the	the	DET
cana-1232	204	11	clean	clean	ADJ
cana-1232	204	12	images	image	NOUN
cana-1232	204	13	,	,	PUNCT
cana-1232	204	14	structural	structural	ADJ
cana-1232	204	15	similarity	similarity	NOUN
cana-1232	204	16	,	,	PUNCT
cana-1232	204	17	perceptual	perceptual	ADJ
cana-1232	204	18	quality	quality	NOUN
cana-1232	204	19	,	,	PUNCT
cana-1232	204	20	and	and	CCONJ
cana-1232	204	21	human	human	ADJ
cana-1232	204	22	perception	perception	NOUN
cana-1232	204	23	.	.	PUNCT
cana-1232	205	1	by	by	ADP
cana-1232	205	2	evaluating	evaluate	VERB
cana-1232	205	3	the	the	DET
cana-1232	205	4	fgr	fgr	NOUN
cana-1232	205	5	system	system	NOUN
cana-1232	205	6	using	use	VERB
cana-1232	205	7	these	these	DET
cana-1232	205	8	metrics	metric	NOUN
cana-1232	205	9	on	on	ADP
cana-1232	205	10	the	the	DET
cana-1232	205	11	div2k	div2k	PROPN
cana-1232	205	12	dataset	dataset	NOUN
cana-1232	205	13	,	,	PUNCT
cana-1232	205	14	researchers	researcher	NOUN
cana-1232	205	15	can	can	AUX
cana-1232	205	16	quantitatively	quantitatively	ADV
cana-1232	205	17	assess	assess	VERB
cana-1232	205	18	its	its	PRON
cana-1232	205	19	ability	ability	NOUN
cana-1232	205	20	to	to	PART
cana-1232	205	21	balance	balance	VERB
cana-1232	205	22	noise	noise	NOUN
cana-1232	205	23	reduction	reduction	NOUN
cana-1232	205	24	and	and	CCONJ
cana-1232	205	25	texture	texture	ADJ
cana-1232	205	26	preservation	preservation	NOUN
cana-1232	205	27	for	for	ADP
cana-1232	205	28	enhanced	enhanced	ADJ
cana-1232	205	29	image	image	NOUN
cana-1232	205	30	details	detail	NOUN
cana-1232	205	31	.	.	PUNCT
cana-1232	206	1	here	here	ADV
cana-1232	206	2	are	be	AUX
cana-1232	206	3	the	the	DET
cana-1232	206	4	formulas	formula	NOUN
cana-1232	206	5	for	for	ADP
cana-1232	206	6	the	the	DET
cana-1232	206	7	performance	performance	NOUN
cana-1232	206	8	evaluation	evaluation	NOUN
cana-1232	206	9	metrics	metric	NOUN
cana-1232	206	10	commonly	commonly	ADV
cana-1232	206	11	taken	take	VERB
cana-1232	206	12	to	to	PART
cana-1232	206	13	evaluate	evaluate	VERB
cana-1232	206	14	the	the	DET
cana-1232	206	15	worth	worth	NOUN
cana-1232	206	16	of	of	ADP
cana-1232	206	17	restored	restore	VERB
cana-1232	206	18	images	image	NOUN
cana-1232	206	19	in	in	ADP
cana-1232	206	20	the	the	DET
cana-1232	206	21	fidelity	fidelity	NOUN
cana-1232	206	22	-	-	PUNCT
cana-1232	206	23	guided	guide	VERB
cana-1232	206	24	restoration	restoration	NOUN
cana-1232	206	25	(	(	PUNCT
cana-1232	206	26	fgr	fgr	NOUN
cana-1232	206	27	)	)	PUNCT
cana-1232	206	28	system	system	NOUN
cana-1232	206	29	applied	apply	VERB
cana-1232	206	30	to	to	ADP
cana-1232	206	31	the	the	DET
cana-1232	206	32	diverse	diverse	ADJ
cana-1232	206	33	2k	2k	NOUN
cana-1232	206	34	resolution	resolution	NOUN
cana-1232	206	35	dataset	dataset	NOUN
cana-1232	206	36	(	(	PUNCT
cana-1232	206	37	div2k	div2k	PROPN
cana-1232	206	38	):	):	PUNCT
cana-1232	206	39	1	1	X
cana-1232	206	40	.	.	X
cana-1232	206	41	peak	peak	NOUN
cana-1232	206	42	signal	signal	NOUN
cana-1232	206	43	-	-	PUNCT
cana-1232	206	44	to	to	ADP
cana-1232	206	45	-	-	PUNCT
cana-1232	206	46	noise	noise	NOUN
cana-1232	206	47	ratio	ratio	NOUN
cana-1232	206	48	(	(	PUNCT
cana-1232	206	49	psnr	psnr	NOUN
cana-1232	206	50	):	):	PUNCT
cana-1232	206	51	mse	mse	PROPN
cana-1232	206	52	is	be	AUX
cana-1232	206	53	the	the	DET
cana-1232	206	54	mean	mean	ADJ
cana-1232	206	55	squared	square	VERB
cana-1232	206	56	error	error	NOUN
cana-1232	206	57	between	between	ADP
cana-1232	206	58	the	the	DET
cana-1232	206	59	cleaned	clean	VERB
cana-1232	206	60	and	and	CCONJ
cana-1232	206	61	restored	restore	VERB
cana-1232	206	62	pictures	picture	NOUN
cana-1232	206	63	,	,	PUNCT
cana-1232	206	64	and	and	CCONJ
cana-1232	206	65	max	max	PROPN
cana-1232	206	66	is	be	AUX
cana-1232	206	67	the	the	DET
cana-1232	206	68	max	max	PROPN
cana-1232	206	69	pixel	pixel	PROPN
cana-1232	206	70	value	value	NOUN
cana-1232	206	71	(	(	PUNCT
cana-1232	206	72	for	for	ADP
cana-1232	206	73	example	example	NOUN
cana-1232	206	74	,	,	PUNCT
cana-1232	206	75	255	255	NUM
cana-1232	206	76	for	for	ADP
cana-1232	206	77	8	8	NUM
cana-1232	206	78	-	-	PUNCT
cana-1232	206	79	bit	bit	NOUN
cana-1232	206	80	images	image	NOUN
cana-1232	206	81	)	)	PUNCT
cana-1232	206	82	.	.	PUNCT
cana-1232	207	1	2	2	X
cana-1232	207	2	.	.	X
cana-1232	207	3	structural	structural	ADJ
cana-1232	207	4	similarity	similarity	NOUN
cana-1232	207	5	index	index	NOUN
cana-1232	207	6	(	(	PUNCT
cana-1232	207	7	ssim	ssim	NOUN
cana-1232	207	8	):	):	PUNCT
cana-1232	207	9	in	in	ADP
cana-1232	207	10	ssim	ssim	NOUN
cana-1232	207	11	=	=	SYM
cana-1232	207	12	(	(	PUNCT
cana-1232	207	13	2	2	NUM
cana-1232	207	14	*	*	PUNCT
cana-1232	207	15	μx	μx	NOUN
cana-1232	207	16	*	*	PUNCT
cana-1232	207	17	μy	μy	PROPN
cana-1232	207	18	+	+	NUM
cana-1232	207	19	c1	c1	NOUN
cana-1232	207	20	)	)	PUNCT
cana-1232	207	21	*	*	PUNCT
cana-1232	208	1	(	(	PUNCT
cana-1232	208	2	2	2	X
cana-1232	208	3	*	*	PUNCT
cana-1232	208	4	σxy	σxy	NOUN
cana-1232	208	5	+	+	X
cana-1232	208	6	c2	c2	PROPN
cana-1232	208	7	)	)	PUNCT
cana-1232	208	8	/	/	PUNCT
cana-1232	209	1	(	(	PUNCT
cana-1232	209	2	μx^2	μx^2	NOUN
cana-1232	209	3	+	+	NUM
cana-1232	209	4	μy^2	μy^2	PROPN
cana-1232	209	5	+	+	CCONJ
cana-1232	209	6	c1	c1	PROPN
cana-1232	209	7	)	)	PUNCT
cana-1232	210	1	*	*	PUNCT
cana-1232	210	2	(	(	PUNCT
cana-1232	210	3	σx^2	σx^2	NOUN
cana-1232	210	4	+	+	CCONJ
cana-1232	210	5	σy^2	σy^2	PROPN
cana-1232	210	6	+	+	CCONJ
cana-1232	210	7	c2	c2	PROPN
cana-1232	210	8	)	)	PUNCT
cana-1232	210	9	,	,	PUNCT
cana-1232	210	10	in	in	ADP
cana-1232	210	11	which	which	PRON
cana-1232	210	12	μx	μx	NOUN
cana-1232	210	13	and	and	CCONJ
cana-1232	210	14	μy	μy	PRON
cana-1232	210	15	are	be	AUX
cana-1232	210	16	the	the	DET
cana-1232	210	17	average	average	ADJ
cana-1232	210	18	data	datum	NOUN
cana-1232	210	19	of	of	ADP
cana-1232	210	20	the	the	DET
cana-1232	210	21	reestablished	reestablished	ADJ
cana-1232	210	22	and	and	CCONJ
cana-1232	210	23	spotless	spotless	ADJ
cana-1232	210	24	photographs	photograph	NOUN
cana-1232	210	25	,	,	PUNCT
cana-1232	210	26	σx^2	σx^2	NOUN
cana-1232	210	27	and	and	CCONJ
cana-1232	210	28	σy^2	σy^2	NOUN
cana-1232	210	29	are	be	AUX
cana-1232	210	30	the	the	DET
cana-1232	210	31	deviations	deviation	NOUN
cana-1232	210	32	of	of	ADP
cana-1232	210	33	the	the	DET
cana-1232	210	34	recovered	recovered	ADJ
cana-1232	210	35	and	and	CCONJ
cana-1232	210	36	neat	neat	ADJ
cana-1232	210	37	images	image	NOUN
cana-1232	210	38	,	,	PUNCT
cana-1232	210	39	σxy	σxy	NOUN
cana-1232	210	40	is	be	AUX
cana-1232	210	41	the	the	DET
cana-1232	210	42	covariance	covariance	NOUN
cana-1232	210	43	between	between	ADP
cana-1232	210	44	the	the	DET
cana-1232	210	45	reestablished	reestablished	ADJ
cana-1232	210	46	and	and	CCONJ
cana-1232	210	47	neat	neat	ADJ
cana-1232	210	48	pictures	picture	NOUN
cana-1232	210	49	,	,	PUNCT
cana-1232	210	50	and	and	CCONJ
cana-1232	210	51	c1	c1	PROPN
cana-1232	210	52	and	and	CCONJ
cana-1232	210	53	c2	c2	PROPN
cana-1232	210	54	are	be	AUX
cana-1232	210	55	normalization	normalization	NOUN
cana-1232	210	56	factors	factor	NOUN
cana-1232	210	57	to	to	PART
cana-1232	210	58	avoid	avoid	VERB
cana-1232	210	59	dividing	divide	VERB
cana-1232	210	60	by	by	ADP
cana-1232	210	61	zero	zero	NUM
cana-1232	210	62	.	.	PUNCT
cana-1232	211	1	3	3	X
cana-1232	211	2	.	.	X
cana-1232	211	3	mean	mean	ADJ
cana-1232	211	4	square	square	ADJ
cana-1232	211	5	error	error	NOUN
cana-1232	211	6	(	(	PUNCT
cana-1232	211	7	mse	mse	NOUN
cana-1232	211	8	)	)	PUNCT
cana-1232	211	9	is	be	AUX
cana-1232	211	10	computed	compute	VERB
cana-1232	211	11	using	use	VERB
cana-1232	211	12	the	the	DET
cana-1232	211	13	formula	formula	NOUN
cana-1232	211	14	:	:	PUNCT
cana-1232	211	15	mse	mse	NOUN
cana-1232	211	16	=	=	SYM
cana-1232	211	17	1	1	NUM
cana-1232	211	18	/	/	SYM
cana-1232	211	19	n	n	NOUN
cana-1232	211	20	*	*	PUNCT
cana-1232	211	21	(	(	PUNCT
cana-1232	211	22	||x	||x	PROPN
cana-1232	211	23	y||2	y||2	PROPN
cana-1232	211	24	)	)	PUNCT
cana-1232	211	25	,	,	PUNCT
cana-1232	211	26	where	where	SCONJ
cana-1232	211	27	n	n	PRON
cana-1232	211	28	is	be	AUX
cana-1232	211	29	the	the	DET
cana-1232	211	30	total	total	ADJ
cana-1232	211	31	number	number	NOUN
cana-1232	211	32	of	of	ADP
cana-1232	211	33	pixels	pixel	NOUN
cana-1232	211	34	in	in	ADP
cana-1232	211	35	the	the	DET
cana-1232	211	36	images	image	NOUN
cana-1232	211	37	and	and	CCONJ
cana-1232	211	38	x	x	SYM
cana-1232	211	39	and	and	CCONJ
cana-1232	211	40	y	y	PROPN
cana-1232	211	41	are	be	AUX
cana-1232	211	42	the	the	DET
cana-1232	211	43	pixel	pixel	ADJ
cana-1232	211	44	values	value	NOUN
cana-1232	211	45	of	of	ADP
cana-1232	211	46	the	the	DET
cana-1232	211	47	cleaned	clean	VERB
cana-1232	211	48	and	and	CCONJ
cana-1232	211	49	restored	restore	VERB
cana-1232	211	50	images	image	NOUN
cana-1232	211	51	,	,	PUNCT
cana-1232	211	52	respectively	respectively	ADV
cana-1232	211	53	.	.	PUNCT
cana-1232	212	1	4	4	X
cana-1232	212	2	.	.	X
cana-1232	212	3	root	root	NOUN
cana-1232	212	4	mean	mean	VERB
cana-1232	212	5	square	square	ADJ
cana-1232	212	6	error	error	NOUN
cana-1232	212	7	(	(	PUNCT
cana-1232	212	8	rmse	rmse	NOUN
cana-1232	212	9	):	):	PUNCT
cana-1232	212	10	rmse	rmse	PROPN
cana-1232	212	11	=	=	SYM
cana-1232	212	12	√mse	√mse	PROPN
cana-1232	212	13	,	,	PUNCT
cana-1232	212	14	where	where	SCONJ
cana-1232	212	15	mse	mse	PROPN
cana-1232	212	16	is	be	AUX
cana-1232	212	17	mean	mean	VERB
cana-1232	212	18	squared	square	VERB
cana-1232	212	19	error	error	NOUN
cana-1232	212	20	.	.	PUNCT
cana-1232	213	1	5	5	X
cana-1232	213	2	.	.	X
cana-1232	213	3	visual	visual	ADJ
cana-1232	213	4	information	information	NOUN
cana-1232	213	5	fidelity	fidelity	PROPN
cana-1232	213	6	(	(	PUNCT
cana-1232	213	7	vif	vif	NOUN
cana-1232	213	8	):	):	PUNCT
cana-1232	213	9	vif	vif	NOUN
cana-1232	213	10	=	=	NOUN
cana-1232	213	11	1	1	NUM
cana-1232	213	12	/	/	SYM
cana-1232	213	13	n	n	PROPN
cana-1232	213	14	*	*	PUNCT
cana-1232	213	15	σ(vif_sub	σ(vif_sub	NOUN
cana-1232	213	16	)	)	PUNCT
cana-1232	213	17	,	,	PUNCT
cana-1232	213	18	where	where	SCONJ
cana-1232	213	19	vif_sub	vif_sub	NOUN
cana-1232	213	20	,	,	PUNCT
cana-1232	213	21	n	n	CCONJ
cana-1232	213	22	,	,	PUNCT
cana-1232	213	23	and	and	CCONJ
cana-1232	213	24	the	the	DET
cana-1232	213	25	number	number	NOUN
cana-1232	213	26	of	of	ADP
cana-1232	213	27	non	non	ADJ
cana-1232	213	28	-	-	ADJ
cana-1232	213	29	overlapping	overlapping	ADJ
cana-1232	213	30	sub	sub	NOUN
cana-1232	213	31	-	-	NOUN
cana-1232	213	32	images	image	NOUN
cana-1232	213	33	is	be	AUX
cana-1232	213	34	the	the	DET
cana-1232	213	35	vif	vif	NOUN
cana-1232	213	36	value	value	NOUN
cana-1232	213	37	calculated	calculate	VERB
cana-1232	213	38	for	for	ADP
cana-1232	213	39	each	each	DET
cana-1232	213	40	sub	sub	NOUN
cana-1232	213	41	-	-	NOUN
cana-1232	213	42	image	image	NOUN
cana-1232	213	43	.	.	PUNCT
cana-1232	214	1	the	the	DET
cana-1232	214	2	vif	vif	NOUN
cana-1232	214	3	formula	formula	NOUN
cana-1232	214	4	involves	involve	VERB
cana-1232	214	5	several	several	ADJ
cana-1232	214	6	complex	complex	ADJ
cana-1232	214	7	steps	step	NOUN
cana-1232	214	8	,	,	PUNCT
cana-1232	214	9	including	include	VERB
cana-1232	214	10	luminance	luminance	NOUN
cana-1232	214	11	and	and	CCONJ
cana-1232	214	12	contrast	contrast	VERB
cana-1232	214	13	communications	communication	NOUN
cana-1232	214	14	on	on	ADP
cana-1232	214	15	applied	apply	VERB
cana-1232	214	16	nonlinear	nonlinear	ADJ
cana-1232	214	17	analysis	analysis	NOUN
cana-1232	214	18	issn	issn	NOUN
cana-1232	214	19	:	:	PUNCT
cana-1232	214	20	1074	1074	NUM
cana-1232	214	21	-	-	PUNCT
cana-1232	214	22	133x	133x	NUM
cana-1232	214	23	vol	vol	NOUN
cana-1232	214	24	31	31	NUM
cana-1232	214	25	no	no	NOUN
cana-1232	214	26	.	.	PUNCT
cana-1232	215	1	6s	6s	NUM
cana-1232	215	2	(	(	PUNCT
cana-1232	215	3	2024	2024	NUM
cana-1232	215	4	)	)	PUNCT
cana-1232	215	5	413	413	NUM
cana-1232	216	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	216	2	pooling	pooling	NOUN
cana-1232	216	3	,	,	PUNCT
cana-1232	216	4	structural	structural	ADJ
cana-1232	216	5	similarity	similarity	NOUN
cana-1232	216	6	pooling	pooling	NOUN
cana-1232	216	7	,	,	PUNCT
cana-1232	216	8	and	and	CCONJ
cana-1232	216	9	other	other	ADJ
cana-1232	216	10	calculations	calculation	NOUN
cana-1232	216	11	.	.	PUNCT
cana-1232	217	1	it	it	PRON
cana-1232	217	2	is	be	AUX
cana-1232	217	3	advisable	advisable	ADJ
cana-1232	217	4	to	to	PART
cana-1232	217	5	refer	refer	VERB
cana-1232	217	6	to	to	ADP
cana-1232	217	7	the	the	DET
cana-1232	217	8	specific	specific	ADJ
cana-1232	217	9	vif	vif	NOUN
cana-1232	217	10	implementation	implementation	NOUN
cana-1232	217	11	or	or	CCONJ
cana-1232	217	12	research	research	NOUN
cana-1232	217	13	paper	paper	NOUN
cana-1232	217	14	for	for	ADP
cana-1232	217	15	the	the	DET
cana-1232	217	16	detailed	detailed	ADJ
cana-1232	217	17	formula	formula	NOUN
cana-1232	217	18	.	.	PUNCT
cana-1232	218	1	the	the	DET
cana-1232	218	2	pie	pie	NOUN
cana-1232	218	3	chart	chart	NOUN
cana-1232	218	4	illustrates	illustrate	VERB
cana-1232	218	5	the	the	DET
cana-1232	218	6	distribution	distribution	NOUN
cana-1232	218	7	of	of	ADP
cana-1232	218	8	efficiency	efficiency	NOUN
cana-1232	218	9	assessments	assessment	NOUN
cana-1232	218	10	are	be	AUX
cana-1232	218	11	used	use	VERB
cana-1232	218	12	to	to	PART
cana-1232	218	13	judge	judge	VERB
cana-1232	218	14	the	the	DET
cana-1232	218	15	state	state	NOUN
cana-1232	218	16	of	of	ADP
cana-1232	218	17	regained	regain	VERB
cana-1232	218	18	images	image	NOUN
cana-1232	218	19	in	in	ADP
cana-1232	218	20	the	the	DET
cana-1232	218	21	fidelity	fidelity	NOUN
cana-1232	218	22	-	-	PUNCT
cana-1232	218	23	guided	guide	VERB
cana-1232	218	24	restoration	restoration	NOUN
cana-1232	218	25	(	(	PUNCT
cana-1232	218	26	fgr	fgr	NOUN
cana-1232	218	27	)	)	PUNCT
cana-1232	218	28	system	system	NOUN
cana-1232	218	29	applied	apply	VERB
cana-1232	218	30	to	to	ADP
cana-1232	218	31	the	the	DET
cana-1232	218	32	diverse	diverse	ADJ
cana-1232	218	33	2k	2k	NOUN
cana-1232	218	34	resolution	resolution	NOUN
cana-1232	218	35	dataset	dataset	NOUN
cana-1232	218	36	(	(	PUNCT
cana-1232	218	37	div2k	div2k	PROPN
cana-1232	218	38	)	)	PUNCT
cana-1232	218	39	.	.	PUNCT
cana-1232	219	1	the	the	DET
cana-1232	219	2	metrics	metric	NOUN
cana-1232	219	3	are	be	AUX
cana-1232	219	4	divided	divide	VERB
cana-1232	219	5	into	into	ADP
cana-1232	219	6	several	several	ADJ
cana-1232	219	7	key	key	ADJ
cana-1232	219	8	categories	category	NOUN
cana-1232	219	9	:	:	PUNCT
cana-1232	219	10	peak	peak	NOUN
cana-1232	219	11	signal	signal	NOUN
cana-1232	219	12	-	-	PUNCT
cana-1232	219	13	to	to	ADP
cana-1232	219	14	-	-	PUNCT
cana-1232	219	15	noise	noise	NOUN
cana-1232	219	16	ratio	ratio	NOUN
cana-1232	219	17	(	(	PUNCT
cana-1232	219	18	psnr	psnr	NOUN
cana-1232	219	19	):	):	PUNCT
cana-1232	219	20	16	16	NUM
cana-1232	219	21	%	%	NOUN
cana-1232	219	22	structural	structural	ADJ
cana-1232	219	23	similarity	similarity	NOUN
cana-1232	219	24	index	index	NOUN
cana-1232	219	25	(	(	PUNCT
cana-1232	219	26	ssim	ssim	NOUN
cana-1232	219	27	):	):	PUNCT
cana-1232	219	28	18	18	NUM
cana-1232	219	29	%	%	NOUN
cana-1232	219	30	mean	mean	NOUN
cana-1232	219	31	square	square	NOUN
cana-1232	219	32	error	error	NOUN
cana-1232	219	33	(	(	PUNCT
cana-1232	219	34	mse	mse	NOUN
cana-1232	219	35	):	):	PUNCT
cana-1232	219	36	16	16	NUM
cana-1232	219	37	%	%	NOUN
cana-1232	219	38	root	root	NOUN
cana-1232	219	39	mean	mean	NOUN
cana-1232	219	40	square	square	ADJ
cana-1232	219	41	error	error	NOUN
cana-1232	219	42	(	(	PUNCT
cana-1232	219	43	rmse	rmse	NOUN
cana-1232	219	44	):	):	PUNCT
cana-1232	219	45	16	16	NUM
cana-1232	219	46	%	%	NOUN
cana-1232	219	47	visual	visual	ADJ
cana-1232	219	48	information	information	NOUN
cana-1232	219	49	fidelity	fidelity	PROPN
cana-1232	219	50	(	(	PUNCT
cana-1232	219	51	vif	vif	NOUN
cana-1232	219	52	):	):	PUNCT
cana-1232	219	53	17	17	NUM
cana-1232	219	54	%	%	NOUN
cana-1232	219	55	mean	mean	NOUN
cana-1232	219	56	opinion	opinion	NOUN
cana-1232	219	57	score	score	NOUN
cana-1232	219	58	(	(	PUNCT
cana-1232	219	59	mos	mos	ADJ
cana-1232	219	60	):	):	PUNCT
cana-1232	219	61	17	17	NUM
cana-1232	219	62	%	%	NOUN
cana-1232	219	63	each	each	DET
cana-1232	219	64	segment	segment	NOUN
cana-1232	219	65	represents	represent	VERB
cana-1232	219	66	the	the	DET
cana-1232	219	67	importance	importance	NOUN
cana-1232	219	68	of	of	ADP
cana-1232	219	69	each	each	DET
cana-1232	219	70	metric	metric	NOUN
cana-1232	219	71	in	in	ADP
cana-1232	219	72	evaluating	evaluate	VERB
cana-1232	219	73	the	the	DET
cana-1232	219	74	restoration	restoration	NOUN
cana-1232	219	75	quality	quality	NOUN
cana-1232	219	76	.	.	PUNCT
cana-1232	220	1	the	the	PRON
cana-1232	220	2	larger	large	ADJ
cana-1232	220	3	the	the	DET
cana-1232	220	4	segment	segment	NOUN
cana-1232	220	5	,	,	PUNCT
cana-1232	220	6	the	the	DET
cana-1232	220	7	more	more	ADJ
cana-1232	220	8	weight	weight	NOUN
cana-1232	220	9	that	that	PRON
cana-1232	220	10	particular	particular	ADJ
cana-1232	220	11	metric	metric	NOUN
cana-1232	220	12	carries	carry	VERB
cana-1232	220	13	in	in	ADP
cana-1232	220	14	the	the	DET
cana-1232	220	15	overall	overall	ADJ
cana-1232	220	16	evaluation	evaluation	NOUN
cana-1232	220	17	.	.	PUNCT
cana-1232	221	1	this	this	DET
cana-1232	221	2	chart	chart	NOUN
cana-1232	221	3	provides	provide	VERB
cana-1232	221	4	a	a	DET
cana-1232	221	5	visual	visual	ADJ
cana-1232	221	6	summary	summary	NOUN
cana-1232	221	7	of	of	ADP
cana-1232	221	8	the	the	DET
cana-1232	221	9	different	different	ADJ
cana-1232	221	10	aspects	aspect	NOUN
cana-1232	221	11	of	of	ADP
cana-1232	221	12	image	image	NOUN
cana-1232	221	13	quality	quality	NOUN
cana-1232	221	14	that	that	PRON
cana-1232	221	15	the	the	DET
cana-1232	221	16	fgr	fgr	PROPN
cana-1232	221	17	system	system	NOUN
cana-1232	221	18	aims	aim	VERB
cana-1232	221	19	to	to	PART
cana-1232	221	20	improve	improve	VERB
cana-1232	221	21	,	,	PUNCT
cana-1232	221	22	including	include	VERB
cana-1232	221	23	fidelity	fidelity	NOUN
cana-1232	221	24	,	,	PUNCT
cana-1232	221	25	structural	structural	ADJ
cana-1232	221	26	similarity	similarity	NOUN
cana-1232	221	27	,	,	PUNCT
cana-1232	221	28	error	error	NOUN
cana-1232	221	29	measurement	measurement	NOUN
cana-1232	221	30	,	,	PUNCT
cana-1232	221	31	perceptual	perceptual	ADJ
cana-1232	221	32	quality	quality	NOUN
cana-1232	221	33	,	,	PUNCT
cana-1232	221	34	and	and	CCONJ
cana-1232	221	35	human	human	ADJ
cana-1232	221	36	perception	perception	NOUN
cana-1232	221	37	.	.	PUNCT
cana-1232	222	1	figure	figure	VERB
cana-1232	222	2	4	4	NUM
cana-1232	222	3	:	:	PUNCT
cana-1232	222	4	performance	performance	NOUN
cana-1232	222	5	evaluation	evaluation	NOUN
cana-1232	222	6	metrics	metric	NOUN
cana-1232	222	7	for	for	ADP
cana-1232	222	8	restoration	restoration	NOUN
cana-1232	222	9	the	the	DET
cana-1232	222	10	experimental	experimental	ADJ
cana-1232	222	11	results	result	NOUN
cana-1232	222	12	and	and	CCONJ
cana-1232	222	13	outcome	outcome	NOUN
cana-1232	222	14	of	of	ADP
cana-1232	222	15	applying	apply	VERB
cana-1232	222	16	the	the	DET
cana-1232	222	17	fgr	fgr	NOUN
cana-1232	222	18	system	system	NOUN
cana-1232	222	19	to	to	ADP
cana-1232	222	20	the	the	DET
cana-1232	222	21	div2k	div2k	PROPN
cana-1232	222	22	dataset	dataset	NOUN
cana-1232	222	23	will	will	AUX
cana-1232	222	24	demonstrate	demonstrate	VERB
cana-1232	222	25	its	its	PRON
cana-1232	222	26	effectiveness	effectiveness	NOUN
cana-1232	222	27	in	in	ADP
cana-1232	222	28	achieving	achieve	VERB
cana-1232	222	29	fidelity	fidelity	NOUN
cana-1232	222	30	-	-	PUNCT
cana-1232	222	31	guided	guide	VERB
cana-1232	222	32	restoration	restoration	NOUN
cana-1232	222	33	.	.	PUNCT
cana-1232	223	1	the	the	DET
cana-1232	223	2	system	system	NOUN
cana-1232	223	3	's	's	PART
cana-1232	223	4	ability	ability	NOUN
cana-1232	223	5	to	to	PART
cana-1232	223	6	balance	balance	VERB
cana-1232	223	7	noise	noise	NOUN
cana-1232	223	8	reduction	reduction	NOUN
cana-1232	223	9	and	and	CCONJ
cana-1232	223	10	texture	texture	ADJ
cana-1232	223	11	preservation	preservation	NOUN
cana-1232	223	12	will	will	AUX
cana-1232	223	13	be	be	AUX
cana-1232	223	14	showcased	showcase	VERB
cana-1232	223	15	through	through	ADP
cana-1232	223	16	quantitative	quantitative	ADJ
cana-1232	223	17	metrics	metric	NOUN
cana-1232	223	18	,	,	PUNCT
cana-1232	223	19	visual	visual	ADJ
cana-1232	223	20	comparison	comparison	NOUN
cana-1232	223	21	,	,	PUNCT
cana-1232	223	22	comparison	comparison	NOUN
cana-1232	223	23	with	with	ADP
cana-1232	223	24	existing	exist	VERB
cana-1232	223	25	methods	method	NOUN
cana-1232	223	26	,	,	PUNCT
cana-1232	223	27	and	and	CCONJ
cana-1232	223	28	qualitative	qualitative	ADJ
cana-1232	223	29	analysis	analysis	NOUN
cana-1232	223	30	.	.	PUNCT
cana-1232	224	1	overall	overall	ADV
cana-1232	224	2	,	,	PUNCT
cana-1232	224	3	the	the	DET
cana-1232	224	4	results	result	NOUN
cana-1232	224	5	will	will	AUX
cana-1232	224	6	validate	validate	VERB
cana-1232	224	7	the	the	DET
cana-1232	224	8	advantages	advantage	NOUN
cana-1232	224	9	of	of	ADP
cana-1232	224	10	the	the	DET
cana-1232	224	11	fgr	fgr	NOUN
cana-1232	224	12	system	system	NOUN
cana-1232	224	13	in	in	ADP
cana-1232	224	14	enhancing	enhance	VERB
cana-1232	224	15	image	image	NOUN
cana-1232	224	16	details	detail	NOUN
cana-1232	224	17	and	and	CCONJ
cana-1232	224	18	textures	texture	NOUN
cana-1232	224	19	while	while	SCONJ
cana-1232	224	20	reducing	reduce	VERB
cana-1232	224	21	noise	noise	NOUN
cana-1232	224	22	,	,	PUNCT
cana-1232	224	23	thereby	thereby	ADV
cana-1232	224	24	contributing	contribute	VERB
cana-1232	224	25	to	to	ADP
cana-1232	224	26	improved	improve	VERB
cana-1232	224	27	image	image	NOUN
cana-1232	224	28	restoration	restoration	NOUN
cana-1232	224	29	techniques	technique	NOUN
cana-1232	224	30	.	.	PUNCT
cana-1232	225	1	methods	method	NOUN
cana-1232	225	2	precision	precision	PROPN
cana-1232	225	3	recall	recall	PROPN
cana-1232	225	4	f1(measure	f1(measure	PROPN
cana-1232	225	5	)	)	PUNCT
cana-1232	225	6	accuracy	accuracy	NOUN
cana-1232	225	7	existing	exist	VERB
cana-1232	225	8	system	system	NOUN
cana-1232	225	9	65	65	NUM
cana-1232	225	10	%	%	NOUN
cana-1232	225	11	70	70	NUM
cana-1232	225	12	%	%	NOUN
cana-1232	225	13	63	63	NUM
cana-1232	225	14	%	%	NOUN
cana-1232	225	15	62	62	NUM
cana-1232	225	16	%	%	NOUN
cana-1232	225	17	proposed	propose	VERB
cana-1232	225	18	system	system	NOUN
cana-1232	225	19	70	70	NUM
cana-1232	225	20	%	%	NOUN
cana-1232	225	21	72	72	NUM
cana-1232	225	22	%	%	NOUN
cana-1232	225	23	69%f	69%f	NOUN
cana-1232	225	24	71	71	NUM
cana-1232	225	25	%	%	NOUN
cana-1232	225	26	table	table	NOUN
cana-1232	225	27	3	3	NUM
cana-1232	225	28	:	:	PUNCT
cana-1232	225	29	comparison	comparison	NOUN
cana-1232	225	30	of	of	ADP
cana-1232	225	31	precision	precision	NOUN
cana-1232	225	32	,	,	PUNCT
cana-1232	225	33	recal	recal	NOUN
cana-1232	225	34	,	,	PUNCT
cana-1232	225	35	f1	f1	NOUN
cana-1232	225	36	and	and	CCONJ
cana-1232	225	37	accuracy	accuracy	NOUN
cana-1232	225	38	the	the	DET
cana-1232	225	39	experimental	experimental	ADJ
cana-1232	225	40	results	result	NOUN
cana-1232	225	41	present	present	VERB
cana-1232	225	42	the	the	DET
cana-1232	225	43	precision	precision	NOUN
cana-1232	225	44	,	,	PUNCT
cana-1232	225	45	recall	recall	NOUN
cana-1232	225	46	,	,	PUNCT
cana-1232	225	47	f	f	X
cana-1232	225	48	-	-	PUNCT
cana-1232	225	49	measure	measure	NOUN
cana-1232	225	50	,	,	PUNCT
cana-1232	225	51	and	and	CCONJ
cana-1232	225	52	accuracy	accuracy	NOUN
cana-1232	225	53	values	value	NOUN
cana-1232	225	54	obtained	obtain	VERB
cana-1232	225	55	by	by	ADP
cana-1232	225	56	the	the	DET
cana-1232	225	57	fgr	fgr	PROPN
cana-1232	225	58	system	system	NOUN
cana-1232	225	59	on	on	ADP
cana-1232	225	60	the	the	DET
cana-1232	225	61	div2k	div2k	PROPN
cana-1232	225	62	dataset	dataset	NOUN
cana-1232	225	63	.	.	PUNCT
cana-1232	226	1	the	the	DET
cana-1232	226	2	outcome	outcome	NOUN
cana-1232	226	3	can	can	AUX
cana-1232	226	4	be	be	AUX
cana-1232	226	5	interpreted	interpret	VERB
cana-1232	226	6	based	base	VERB
cana-1232	226	7	on	on	ADP
cana-1232	226	8	these	these	DET
cana-1232	226	9	metrics	metric	NOUN
cana-1232	226	10	,	,	PUNCT
cana-1232	226	11	demonstrating	demonstrate	VERB
cana-1232	226	12	the	the	DET
cana-1232	226	13	system	system	NOUN
cana-1232	226	14	's	's	PART
cana-1232	226	15	ability	ability	NOUN
cana-1232	226	16	to	to	PART
cana-1232	226	17	accurately	accurately	ADV
cana-1232	226	18	restore	restore	VERB
cana-1232	226	19	image	image	NOUN
cana-1232	226	20	details	detail	NOUN
cana-1232	226	21	and	and	CCONJ
cana-1232	226	22	textures	texture	NOUN
cana-1232	226	23	while	while	SCONJ
cana-1232	226	24	effectively	effectively	ADV
cana-1232	226	25	communications	communication	NOUN
cana-1232	226	26	on	on	ADP
cana-1232	226	27	applied	apply	VERB
cana-1232	226	28	nonlinear	nonlinear	ADJ
cana-1232	226	29	analysis	analysis	NOUN
cana-1232	226	30	issn	issn	NOUN
cana-1232	226	31	:	:	PUNCT
cana-1232	226	32	1074	1074	NUM
cana-1232	226	33	-	-	PUNCT
cana-1232	226	34	133x	133x	NUM
cana-1232	226	35	vol	vol	NOUN
cana-1232	226	36	31	31	NUM
cana-1232	226	37	no	no	NOUN
cana-1232	226	38	.	.	PUNCT
cana-1232	227	1	6s	6s	NUM
cana-1232	227	2	(	(	PUNCT
cana-1232	227	3	2024	2024	NUM
cana-1232	227	4	)	)	PUNCT
cana-1232	227	5	414	414	NUM
cana-1232	227	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	227	7	reducing	reduce	VERB
cana-1232	227	8	noise	noise	NOUN
cana-1232	227	9	.	.	PUNCT
cana-1232	228	1	the	the	DET
cana-1232	228	2	higher	high	ADJ
cana-1232	228	3	precision	precision	NOUN
cana-1232	228	4	and	and	CCONJ
cana-1232	228	5	recall	recall	NOUN
cana-1232	228	6	values	value	NOUN
cana-1232	228	7	indicate	indicate	VERB
cana-1232	228	8	the	the	DET
cana-1232	228	9	system	system	NOUN
cana-1232	228	10	's	's	PART
cana-1232	228	11	reliability	reliability	NOUN
cana-1232	228	12	in	in	ADP
cana-1232	228	13	correctly	correctly	ADV
cana-1232	228	14	identifying	identify	VERB
cana-1232	228	15	and	and	CCONJ
cana-1232	228	16	restoring	restore	VERB
cana-1232	228	17	image	image	NOUN
cana-1232	228	18	content	content	NOUN
cana-1232	228	19	.	.	PUNCT
cana-1232	229	1	the	the	DET
cana-1232	229	2	f	f	NUM
cana-1232	229	3	-	-	PUNCT
cana-1232	229	4	measure	measure	NOUN
cana-1232	229	5	showcases	showcase	VERB
cana-1232	229	6	the	the	DET
cana-1232	229	7	system	system	NOUN
cana-1232	229	8	's	's	PART
cana-1232	229	9	balanced	balanced	ADJ
cana-1232	229	10	performance	performance	NOUN
cana-1232	229	11	in	in	ADP
cana-1232	229	12	achieving	achieve	VERB
cana-1232	229	13	both	both	DET
cana-1232	229	14	precision	precision	NOUN
cana-1232	229	15	and	and	CCONJ
cana-1232	229	16	recall	recall	NOUN
cana-1232	229	17	.	.	PUNCT
cana-1232	230	1	lastly	lastly	ADV
cana-1232	230	2	,	,	PUNCT
cana-1232	230	3	the	the	DET
cana-1232	230	4	accuracy	accuracy	NOUN
cana-1232	230	5	metric	metric	NOUN
cana-1232	230	6	reflects	reflect	VERB
cana-1232	230	7	the	the	DET
cana-1232	230	8	overall	overall	ADJ
cana-1232	230	9	correctness	correctness	NOUN
cana-1232	230	10	of	of	ADP
cana-1232	230	11	the	the	DET
cana-1232	230	12	restoration	restoration	NOUN
cana-1232	230	13	classifications	classification	NOUN
cana-1232	230	14	.	.	PUNCT
cana-1232	231	1	figure	figure	VERB
cana-1232	231	2	5	5	NUM
cana-1232	231	3	:	:	PUNCT
cana-1232	231	4	outcome	outcome	NOUN
cana-1232	231	5	of	of	ADP
cana-1232	231	6	proposed	propose	VERB
cana-1232	231	7	method	method	NOUN
cana-1232	231	8	by	by	ADP
cana-1232	231	9	presenting	present	VERB
cana-1232	231	10	these	these	DET
cana-1232	231	11	experimental	experimental	ADJ
cana-1232	231	12	results	result	NOUN
cana-1232	231	13	and	and	CCONJ
cana-1232	231	14	outcomes	outcome	NOUN
cana-1232	231	15	using	use	VERB
cana-1232	231	16	precision	precision	NOUN
cana-1232	231	17	,	,	PUNCT
cana-1232	231	18	recall	recall	NOUN
cana-1232	231	19	,	,	PUNCT
cana-1232	231	20	f	f	X
cana-1232	231	21	-	-	PUNCT
cana-1232	231	22	measure	measure	NOUN
cana-1232	231	23	,	,	PUNCT
cana-1232	231	24	and	and	CCONJ
cana-1232	231	25	accuracy	accuracy	NOUN
cana-1232	231	26	metrics	metric	NOUN
cana-1232	231	27	,	,	PUNCT
cana-1232	231	28	the	the	DET
cana-1232	231	29	study	study	NOUN
cana-1232	231	30	provides	provide	VERB
cana-1232	231	31	a	a	DET
cana-1232	231	32	comprehensive	comprehensive	ADJ
cana-1232	231	33	evaluation	evaluation	NOUN
cana-1232	231	34	of	of	ADP
cana-1232	231	35	the	the	DET
cana-1232	231	36	fidelity	fidelity	NOUN
cana-1232	231	37	-	-	PUNCT
cana-1232	231	38	guided	guide	VERB
cana-1232	231	39	restoration	restoration	NOUN
cana-1232	231	40	(	(	PUNCT
cana-1232	231	41	fgr	fgr	NOUN
cana-1232	231	42	)	)	PUNCT
cana-1232	231	43	system	system	NOUN
cana-1232	231	44	's	's	PART
cana-1232	231	45	performance	performance	NOUN
cana-1232	231	46	in	in	ADP
cana-1232	231	47	enhancing	enhance	VERB
cana-1232	231	48	image	image	NOUN
cana-1232	231	49	details	detail	NOUN
cana-1232	231	50	and	and	CCONJ
cana-1232	231	51	preserving	preserve	VERB
cana-1232	231	52	textures	texture	NOUN
cana-1232	231	53	in	in	ADP
cana-1232	231	54	the	the	DET
cana-1232	231	55	div2k	div2k	PROPN
cana-1232	231	56	dataset	dataset	NOUN
cana-1232	231	57	.	.	PUNCT
cana-1232	232	1	11	11	NUM
cana-1232	232	2	.	.	PUNCT
cana-1232	233	1	conclusion	conclusion	NOUN
cana-1232	233	2	in	in	ADP
cana-1232	233	3	this	this	DET
cana-1232	233	4	research	research	NOUN
cana-1232	233	5	,	,	PUNCT
cana-1232	233	6	we	we	PRON
cana-1232	233	7	have	have	AUX
cana-1232	233	8	proposed	propose	VERB
cana-1232	233	9	the	the	DET
cana-1232	233	10	fidelity	fidelity	NOUN
cana-1232	233	11	-	-	PUNCT
cana-1232	233	12	guided	guide	VERB
cana-1232	233	13	restoration	restoration	NOUN
cana-1232	233	14	(	(	PUNCT
cana-1232	233	15	fgr	fgr	NOUN
cana-1232	233	16	)	)	PUNCT
cana-1232	233	17	system	system	NOUN
cana-1232	233	18	for	for	ADP
cana-1232	233	19	balancing	balance	VERB
cana-1232	233	20	noise	noise	NOUN
cana-1232	233	21	reduction	reduction	NOUN
cana-1232	233	22	and	and	CCONJ
cana-1232	233	23	texture	texture	ADJ
cana-1232	233	24	preservation	preservation	NOUN
cana-1232	233	25	to	to	PART
cana-1232	233	26	enhance	enhance	VERB
cana-1232	233	27	image	image	NOUN
cana-1232	233	28	details	detail	NOUN
cana-1232	233	29	.	.	PUNCT
cana-1232	234	1	the	the	DET
cana-1232	234	2	system	system	NOUN
cana-1232	234	3	has	have	AUX
cana-1232	234	4	been	be	AUX
cana-1232	234	5	evaluated	evaluate	VERB
cana-1232	234	6	using	use	VERB
cana-1232	234	7	the	the	DET
cana-1232	234	8	diverse	diverse	ADJ
cana-1232	234	9	2k	2k	NOUN
cana-1232	234	10	resolution	resolution	NOUN
cana-1232	234	11	dataset	dataset	NOUN
cana-1232	234	12	(	(	PUNCT
cana-1232	234	13	div2k	div2k	PROPN
cana-1232	234	14	)	)	PUNCT
cana-1232	234	15	.	.	PUNCT
cana-1232	235	1	through	through	ADP
cana-1232	235	2	extensive	extensive	ADJ
cana-1232	235	3	experiments	experiment	NOUN
cana-1232	235	4	and	and	CCONJ
cana-1232	235	5	performance	performance	NOUN
cana-1232	235	6	evaluations	evaluation	NOUN
cana-1232	235	7	,	,	PUNCT
cana-1232	235	8	we	we	PRON
cana-1232	235	9	have	have	AUX
cana-1232	235	10	demonstrated	demonstrate	VERB
cana-1232	235	11	the	the	DET
cana-1232	235	12	effectiveness	effectiveness	NOUN
cana-1232	235	13	of	of	ADP
cana-1232	235	14	the	the	DET
cana-1232	235	15	fgr	fgr	NOUN
cana-1232	235	16	system	system	NOUN
cana-1232	235	17	in	in	ADP
cana-1232	235	18	achieving	achieve	VERB
cana-1232	235	19	superior	superior	ADJ
cana-1232	235	20	restoration	restoration	NOUN
cana-1232	235	21	data	datum	NOUN
cana-1232	235	22	.	.	PUNCT
cana-1232	236	1	the	the	DET
cana-1232	236	2	experimental	experimental	ADJ
cana-1232	236	3	results	result	NOUN
cana-1232	236	4	have	have	AUX
cana-1232	236	5	shown	show	VERB
cana-1232	236	6	that	that	SCONJ
cana-1232	236	7	the	the	DET
cana-1232	236	8	fgr	fgr	PROPN
cana-1232	236	9	system	system	NOUN
cana-1232	236	10	achieves	achieve	VERB
cana-1232	236	11	a	a	DET
cana-1232	236	12	balance	balance	NOUN
cana-1232	236	13	between	between	ADP
cana-1232	236	14	noise	noise	NOUN
cana-1232	236	15	reduction	reduction	NOUN
cana-1232	236	16	and	and	CCONJ
cana-1232	236	17	texture	texture	NOUN
cana-1232	236	18	preservation	preservation	NOUN
cana-1232	236	19	,	,	PUNCT
cana-1232	236	20	leading	lead	VERB
cana-1232	236	21	to	to	ADP
cana-1232	236	22	visually	visually	ADV
cana-1232	236	23	pleasing	pleasing	ADJ
cana-1232	236	24	and	and	CCONJ
cana-1232	236	25	natural	natural	ADJ
cana-1232	236	26	-	-	PUNCT
cana-1232	236	27	looking	look	VERB
cana-1232	236	28	restored	restore	VERB
cana-1232	236	29	images	image	NOUN
cana-1232	236	30	.	.	PUNCT
cana-1232	237	1	the	the	DET
cana-1232	237	2	system	system	NOUN
cana-1232	237	3	outperforms	outperform	VERB
cana-1232	237	4	existing	exist	VERB
cana-1232	237	5	methods	method	NOUN
cana-1232	237	6	in	in	ADP
cana-1232	237	7	terms	term	NOUN
cana-1232	237	8	of	of	ADP
cana-1232	237	9	preserving	preserve	VERB
cana-1232	237	10	fine	fine	ADJ
cana-1232	237	11	details	detail	NOUN
cana-1232	237	12	and	and	CCONJ
cana-1232	237	13	intricate	intricate	ADJ
cana-1232	237	14	textures	texture	NOUN
cana-1232	237	15	while	while	SCONJ
cana-1232	237	16	effectively	effectively	ADV
cana-1232	237	17	reducing	reduce	VERB
cana-1232	237	18	noise	noise	NOUN
cana-1232	237	19	.	.	PUNCT
cana-1232	238	1	quantitative	quantitative	ADJ
cana-1232	238	2	evaluation	evaluation	NOUN
cana-1232	238	3	metrics	metric	NOUN
cana-1232	238	4	such	such	ADJ
cana-1232	238	5	as	as	ADP
cana-1232	238	6	psnr	psnr	NOUN
cana-1232	238	7	and	and	CCONJ
cana-1232	238	8	ssim	ssim	NOUN
cana-1232	238	9	have	have	AUX
cana-1232	238	10	consistently	consistently	ADV
cana-1232	238	11	indicated	indicate	VERB
cana-1232	238	12	the	the	DET
cana-1232	238	13	improved	improved	ADJ
cana-1232	238	14	performance	performance	NOUN
cana-1232	238	15	of	of	ADP
cana-1232	238	16	the	the	DET
cana-1232	238	17	fgr	fgr	PROPN
cana-1232	238	18	system	system	NOUN
cana-1232	238	19	.	.	PUNCT
cana-1232	239	1	the	the	DET
cana-1232	239	2	fgr	fgr	PROPN
cana-1232	239	3	system	system	NOUN
cana-1232	239	4	's	's	PART
cana-1232	239	5	ability	ability	NOUN
cana-1232	239	6	to	to	PART
cana-1232	239	7	reconcile	reconcile	VERB
cana-1232	239	8	the	the	DET
cana-1232	239	9	preservation	preservation	NOUN
cana-1232	239	10	of	of	ADP
cana-1232	239	11	texture	texture	NOUN
cana-1232	239	12	with	with	ADP
cana-1232	239	13	noise	noise	NOUN
cana-1232	239	14	reduction	reduction	NOUN
cana-1232	239	15	opens	open	VERB
cana-1232	239	16	up	up	ADP
cana-1232	239	17	new	new	ADJ
cana-1232	239	18	possibilities	possibility	NOUN
cana-1232	239	19	for	for	ADP
cana-1232	239	20	various	various	ADJ
cana-1232	239	21	image	image	NOUN
cana-1232	239	22	restoration	restoration	NOUN
cana-1232	239	23	applications	application	NOUN
cana-1232	239	24	.	.	PUNCT
cana-1232	240	1	the	the	DET
cana-1232	240	2	restoration	restoration	NOUN
cana-1232	240	3	quality	quality	NOUN
cana-1232	240	4	achieved	achieve	VERB
cana-1232	240	5	by	by	ADP
cana-1232	240	6	the	the	DET
cana-1232	240	7	fgr	fgr	PROPN
cana-1232	240	8	system	system	NOUN
cana-1232	240	9	enhances	enhance	VERB
cana-1232	240	10	the	the	DET
cana-1232	240	11	visual	visual	ADJ
cana-1232	240	12	appeal	appeal	NOUN
cana-1232	240	13	and	and	CCONJ
cana-1232	240	14	fidelity	fidelity	NOUN
cana-1232	240	15	of	of	ADP
cana-1232	240	16	images	image	NOUN
cana-1232	240	17	,	,	PUNCT
cana-1232	240	18	making	make	VERB
cana-1232	240	19	it	it	PRON
cana-1232	240	20	valuable	valuable	ADJ
cana-1232	240	21	for	for	ADP
cana-1232	240	22	applications	application	NOUN
cana-1232	240	23	such	such	ADJ
cana-1232	240	24	as	as	ADP
cana-1232	240	25	medical	medical	ADJ
cana-1232	240	26	imaging	imaging	NOUN
cana-1232	240	27	,	,	PUNCT
cana-1232	240	28	surveillance	surveillance	NOUN
cana-1232	240	29	,	,	PUNCT
cana-1232	240	30	and	and	CCONJ
cana-1232	240	31	digital	digital	ADJ
cana-1232	240	32	photography	photography	NOUN
cana-1232	240	33	.	.	PUNCT
cana-1232	241	1	future	future	ADJ
cana-1232	241	2	enhancements	enhancement	NOUN
cana-1232	241	3	while	while	SCONJ
cana-1232	241	4	the	the	DET
cana-1232	241	5	fgr	fgr	NOUN
cana-1232	241	6	system	system	NOUN
cana-1232	241	7	has	have	AUX
cana-1232	241	8	shown	show	VERB
cana-1232	241	9	promising	promising	ADJ
cana-1232	241	10	results	result	NOUN
cana-1232	241	11	,	,	PUNCT
cana-1232	241	12	there	there	PRON
cana-1232	241	13	are	be	VERB
cana-1232	241	14	several	several	ADJ
cana-1232	241	15	areas	area	NOUN
cana-1232	241	16	where	where	SCONJ
cana-1232	241	17	future	future	ADJ
cana-1232	241	18	enhancements	enhancement	NOUN
cana-1232	241	19	can	can	AUX
cana-1232	241	20	be	be	AUX
cana-1232	241	21	explored	explore	VERB
cana-1232	241	22	:	:	PUNCT
cana-1232	241	23	1	1	X
cana-1232	241	24	.	.	X
cana-1232	241	25	advanced	advanced	ADJ
cana-1232	241	26	noise	noise	NOUN
cana-1232	241	27	models	model	NOUN
cana-1232	241	28	:	:	PUNCT
cana-1232	241	29	investigating	investigate	VERB
cana-1232	241	30	and	and	CCONJ
cana-1232	241	31	incorporating	incorporate	VERB
cana-1232	241	32	more	more	ADV
cana-1232	241	33	sophisticated	sophisticated	ADJ
cana-1232	241	34	noise	noise	NOUN
cana-1232	241	35	models	model	NOUN
cana-1232	241	36	can	can	AUX
cana-1232	241	37	further	far	ADV
cana-1232	241	38	improve	improve	VERB
cana-1232	241	39	the	the	DET
cana-1232	241	40	fgr	fgr	PROPN
cana-1232	241	41	system	system	NOUN
cana-1232	241	42	's	's	PART
cana-1232	241	43	performance	performance	NOUN
cana-1232	241	44	.	.	PUNCT
cana-1232	242	1	exploring	explore	VERB
cana-1232	242	2	non	non	ADJ
cana-1232	242	3	-	-	ADJ
cana-1232	242	4	linear	linear	ADJ
cana-1232	242	5	and	and	CCONJ
cana-1232	242	6	non	non	ADJ
cana-1232	242	7	-	-	ADJ
cana-1232	242	8	gaussian	gaussian	ADJ
cana-1232	242	9	noise	noise	NOUN
cana-1232	242	10	models	model	NOUN
cana-1232	242	11	can	can	AUX
cana-1232	242	12	enhance	enhance	VERB
cana-1232	242	13	the	the	DET
cana-1232	242	14	system	system	NOUN
cana-1232	242	15	's	's	PART
cana-1232	242	16	ability	ability	NOUN
cana-1232	242	17	to	to	PART
cana-1232	242	18	handle	handle	VERB
cana-1232	242	19	diverse	diverse	ADJ
cana-1232	242	20	noise	noise	NOUN
cana-1232	242	21	types	type	NOUN
cana-1232	242	22	effectively	effectively	ADV
cana-1232	242	23	.	.	PUNCT
cana-1232	243	1	communications	communication	NOUN
cana-1232	243	2	on	on	ADP
cana-1232	243	3	applied	apply	VERB
cana-1232	243	4	nonlinear	nonlinear	ADJ
cana-1232	243	5	analysis	analysis	NOUN
cana-1232	243	6	issn	issn	NOUN
cana-1232	243	7	:	:	PUNCT
cana-1232	243	8	1074	1074	NUM
cana-1232	243	9	-	-	PUNCT
cana-1232	243	10	133x	133x	NUM
cana-1232	243	11	vol	vol	NOUN
cana-1232	243	12	31	31	NUM
cana-1232	243	13	no	no	NOUN
cana-1232	243	14	.	.	PUNCT
cana-1232	244	1	6s	6s	NUM
cana-1232	244	2	(	(	PUNCT
cana-1232	244	3	2024	2024	NUM
cana-1232	244	4	)	)	PUNCT
cana-1232	244	5	415	415	NUM
cana-1232	245	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	245	2	2	2	NUM
cana-1232	245	3	.	.	X
cana-1232	245	4	deep	deep	ADJ
cana-1232	245	5	learning	learning	NOUN
cana-1232	245	6	architectures	architecture	NOUN
cana-1232	245	7	:	:	PUNCT
cana-1232	245	8	exploring	explore	VERB
cana-1232	245	9	and	and	CCONJ
cana-1232	245	10	integrating	integrate	VERB
cana-1232	245	11	state	state	NOUN
cana-1232	245	12	-	-	PUNCT
cana-1232	245	13	of	of	ADP
cana-1232	245	14	-	-	PUNCT
cana-1232	245	15	the	the	DET
cana-1232	245	16	-	-	PUNCT
cana-1232	245	17	art	art	NOUN
cana-1232	245	18	deep	deep	ADJ
cana-1232	245	19	learning	learning	NOUN
cana-1232	245	20	architectures	architecture	NOUN
cana-1232	245	21	can	can	AUX
cana-1232	245	22	enhance	enhance	VERB
cana-1232	245	23	the	the	DET
cana-1232	245	24	fgr	fgr	PROPN
cana-1232	245	25	system	system	NOUN
cana-1232	245	26	's	's	PART
cana-1232	245	27	restoration	restoration	NOUN
cana-1232	245	28	capabilities	capability	NOUN
cana-1232	245	29	.	.	PUNCT
cana-1232	246	1	techniques	technique	NOUN
cana-1232	246	2	such	such	ADJ
cana-1232	246	3	as	as	ADP
cana-1232	246	4	generative	generative	ADJ
cana-1232	246	5	adversarial	adversarial	ADJ
cana-1232	246	6	networks	network	NOUN
cana-1232	246	7	(	(	PUNCT
cana-1232	246	8	gans	gan	NOUN
cana-1232	246	9	)	)	PUNCT
cana-1232	246	10	and	and	CCONJ
cana-1232	246	11	attention	attention	NOUN
cana-1232	246	12	mechanisms	mechanism	NOUN
cana-1232	246	13	can	can	AUX
cana-1232	246	14	be	be	AUX
cana-1232	246	15	investigated	investigate	VERB
cana-1232	246	16	to	to	PART
cana-1232	246	17	further	far	ADV
cana-1232	246	18	enhance	enhance	VERB
cana-1232	246	19	image	image	NOUN
cana-1232	246	20	restoration	restoration	NOUN
cana-1232	246	21	quality	quality	NOUN
cana-1232	246	22	.	.	PUNCT
cana-1232	247	1	3	3	X
cana-1232	247	2	.	.	X
cana-1232	247	3	adaptive	adaptive	ADJ
cana-1232	247	4	restoration	restoration	NOUN
cana-1232	247	5	:	:	PUNCT
cana-1232	247	6	developing	develop	VERB
cana-1232	247	7	adaptive	adaptive	ADJ
cana-1232	247	8	strategies	strategy	NOUN
cana-1232	247	9	that	that	PRON
cana-1232	247	10	dynamically	dynamically	ADV
cana-1232	247	11	adjust	adjust	VERB
cana-1232	247	12	the	the	DET
cana-1232	247	13	restoration	restoration	NOUN
cana-1232	247	14	parameters	parameter	NOUN
cana-1232	247	15	based	base	VERB
cana-1232	247	16	on	on	ADP
cana-1232	247	17	image	image	NOUN
cana-1232	247	18	content	content	NOUN
cana-1232	247	19	can	can	AUX
cana-1232	247	20	enhance	enhance	VERB
cana-1232	247	21	the	the	DET
cana-1232	247	22	fgr	fgr	PROPN
cana-1232	247	23	system	system	NOUN
cana-1232	247	24	's	's	PART
cana-1232	247	25	versatility	versatility	NOUN
cana-1232	247	26	.	.	PUNCT
cana-1232	248	1	adaptive	adaptive	ADJ
cana-1232	248	2	restoration	restoration	NOUN
cana-1232	248	3	can	can	AUX
cana-1232	248	4	address	address	VERB
cana-1232	248	5	different	different	ADJ
cana-1232	248	6	noise	noise	NOUN
cana-1232	248	7	and	and	CCONJ
cana-1232	248	8	texture	texture	NOUN
cana-1232	248	9	characteristics	characteristic	NOUN
cana-1232	248	10	,	,	PUNCT
cana-1232	248	11	leading	lead	VERB
cana-1232	248	12	to	to	ADP
cana-1232	248	13	improved	improve	VERB
cana-1232	248	14	restoration	restoration	NOUN
cana-1232	248	15	results	result	NOUN
cana-1232	248	16	across	across	ADP
cana-1232	248	17	various	various	ADJ
cana-1232	248	18	image	image	NOUN
cana-1232	248	19	types	type	NOUN
cana-1232	248	20	.	.	PUNCT
cana-1232	249	1	4	4	X
cana-1232	249	2	.	.	X
cana-1232	249	3	real	real	ADJ
cana-1232	249	4	-	-	PUNCT
cana-1232	249	5	time	time	NOUN
cana-1232	249	6	implementation	implementation	NOUN
cana-1232	249	7	:	:	PUNCT
cana-1232	249	8	optimizing	optimize	VERB
cana-1232	249	9	the	the	DET
cana-1232	249	10	fgr	fgr	NOUN
cana-1232	249	11	system	system	NOUN
cana-1232	249	12	for	for	ADP
cana-1232	249	13	real	real	ADJ
cana-1232	249	14	-	-	PUNCT
cana-1232	249	15	time	time	NOUN
cana-1232	249	16	implementation	implementation	NOUN
cana-1232	249	17	can	can	AUX
cana-1232	249	18	extend	extend	VERB
cana-1232	249	19	its	its	PRON
cana-1232	249	20	applicability	applicability	NOUN
cana-1232	249	21	to	to	ADP
cana-1232	249	22	real	real	ADJ
cana-1232	249	23	-	-	PUNCT
cana-1232	249	24	time	time	NOUN
cana-1232	249	25	image	image	NOUN
cana-1232	249	26	and	and	CCONJ
cana-1232	249	27	video	video	NOUN
cana-1232	249	28	processing	processing	NOUN
cana-1232	249	29	scenarios	scenario	NOUN
cana-1232	249	30	.	.	PUNCT
cana-1232	250	1	exploring	explore	VERB
cana-1232	250	2	efficient	efficient	ADJ
cana-1232	250	3	algorithms	algorithm	NOUN
cana-1232	250	4	and	and	CCONJ
cana-1232	250	5	hardware	hardware	NOUN
cana-1232	250	6	acceleration	acceleration	NOUN
cana-1232	250	7	techniques	technique	NOUN
cana-1232	250	8	can	can	AUX
cana-1232	250	9	enhance	enhance	VERB
cana-1232	250	10	the	the	DET
cana-1232	250	11	system	system	NOUN
cana-1232	250	12	's	's	PART
cana-1232	250	13	speed	speed	NOUN
cana-1232	250	14	and	and	CCONJ
cana-1232	250	15	real	real	ADJ
cana-1232	250	16	-	-	PUNCT
cana-1232	250	17	time	time	NOUN
cana-1232	250	18	performance	performance	NOUN
cana-1232	250	19	.	.	PUNCT
cana-1232	251	1	5	5	X
cana-1232	251	2	.	.	X
cana-1232	251	3	subjective	subjective	ADJ
cana-1232	251	4	evaluation	evaluation	NOUN
cana-1232	251	5	:	:	PUNCT
cana-1232	251	6	conducting	conduct	VERB
cana-1232	251	7	subjective	subjective	ADJ
cana-1232	251	8	evaluations	evaluation	NOUN
cana-1232	251	9	involving	involve	VERB
cana-1232	251	10	human	human	ADJ
cana-1232	251	11	assessors	assessor	NOUN
cana-1232	251	12	to	to	PART
cana-1232	251	13	gather	gather	VERB
cana-1232	251	14	perceptual	perceptual	ADJ
cana-1232	251	15	feedback	feedback	NOUN
cana-1232	251	16	on	on	ADP
cana-1232	251	17	the	the	DET
cana-1232	251	18	restored	restore	VERB
cana-1232	251	19	images	image	NOUN
cana-1232	251	20	can	can	AUX
cana-1232	251	21	provide	provide	VERB
cana-1232	251	22	valuable	valuable	ADJ
cana-1232	251	23	insights	insight	NOUN
cana-1232	251	24	into	into	ADP
cana-1232	251	25	the	the	DET
cana-1232	251	26	system	system	NOUN
cana-1232	251	27	's	's	PART
cana-1232	251	28	performance	performance	NOUN
cana-1232	251	29	and	and	CCONJ
cana-1232	251	30	guide	guide	VERB
cana-1232	251	31	further	further	ADJ
cana-1232	251	32	improvements	improvement	NOUN
cana-1232	251	33	.	.	PUNCT
cana-1232	252	1	by	by	ADP
cana-1232	252	2	addressing	address	VERB
cana-1232	252	3	these	these	DET
cana-1232	252	4	future	future	ADJ
cana-1232	252	5	enhancements	enhancement	NOUN
cana-1232	252	6	,	,	PUNCT
cana-1232	252	7	the	the	DET
cana-1232	252	8	fidelity	fidelity	NOUN
cana-1232	252	9	-	-	PUNCT
cana-1232	252	10	guided	guide	VERB
cana-1232	252	11	restoration	restoration	NOUN
cana-1232	252	12	(	(	PUNCT
cana-1232	252	13	fgr	fgr	NOUN
cana-1232	252	14	)	)	PUNCT
cana-1232	252	15	system	system	NOUN
cana-1232	252	16	can	can	AUX
cana-1232	252	17	be	be	AUX
cana-1232	252	18	further	far	ADV
cana-1232	252	19	refined	refine	VERB
cana-1232	252	20	and	and	CCONJ
cana-1232	252	21	advanced	advanced	ADJ
cana-1232	252	22	,	,	PUNCT
cana-1232	252	23	making	make	VERB
cana-1232	252	24	it	it	PRON
cana-1232	252	25	a	a	DET
cana-1232	252	26	powerful	powerful	ADJ
cana-1232	252	27	tool	tool	NOUN
cana-1232	252	28	for	for	ADP
cana-1232	252	29	enhancing	enhance	VERB
cana-1232	252	30	image	image	NOUN
cana-1232	252	31	details	detail	NOUN
cana-1232	252	32	,	,	PUNCT
cana-1232	252	33	preserving	preserve	VERB
cana-1232	252	34	textures	texture	NOUN
cana-1232	252	35	,	,	PUNCT
cana-1232	252	36	and	and	CCONJ
cana-1232	252	37	reducing	reduce	VERB
cana-1232	252	38	noise	noise	NOUN
cana-1232	252	39	in	in	ADP
cana-1232	252	40	various	various	ADJ
cana-1232	252	41	practical	practical	ADJ
cana-1232	252	42	applications	application	NOUN
cana-1232	252	43	.	.	PUNCT
cana-1232	253	1	references	reference	NOUN
cana-1232	253	2	[	[	X
cana-1232	253	3	1	1	X
cana-1232	253	4	]	]	PUNCT
cana-1232	253	5	“	"	PUNCT
cana-1232	253	6	zhang	zhang	PROPN
cana-1232	253	7	,	,	PUNCT
cana-1232	253	8	k.	k.	PROPN
cana-1232	253	9	,	,	PUNCT
cana-1232	253	10	tao	tao	PROPN
cana-1232	253	11	,	,	PUNCT
cana-1232	253	12	d.	d.	PROPN
cana-1232	253	13	,	,	PUNCT
cana-1232	253	14	gao	gao	PROPN
cana-1232	253	15	,	,	PUNCT
cana-1232	253	16	x.	x.	PROPN
cana-1232	253	17	,	,	PUNCT
cana-1232	253	18	li	li	PROPN
cana-1232	253	19	,	,	PUNCT
cana-1232	253	20	x.	x.	PROPN
cana-1232	253	21	,	,	PUNCT
cana-1232	253	22	&	&	CCONJ
cana-1232	253	23	xiong	xiong	PROPN
cana-1232	253	24	,	,	PUNCT
cana-1232	253	25	z.	z.	PROPN
cana-1232	253	26	(	(	PUNCT
cana-1232	253	27	2023	2023	NUM
cana-1232	253	28	)	)	PUNCT
cana-1232	253	29	.	.	PUNCT
cana-1232	254	1	image	image	NOUN
cana-1232	254	2	denoising	denoise	VERB
cana-1232	254	3	via	via	ADP
cana-1232	254	4	joint	joint	ADJ
cana-1232	254	5	global	global	ADJ
cana-1232	254	6	and	and	CCONJ
cana-1232	254	7	local	local	ADJ
cana-1232	254	8	learning	learning	NOUN
cana-1232	254	9	.	.	PUNCT
cana-1232	255	1	ieee	ieee	NOUN
cana-1232	255	2	transactions	transaction	NOUN
cana-1232	255	3	on	on	ADP
cana-1232	255	4	image	image	NOUN
cana-1232	255	5	processing	processing	NOUN
cana-1232	255	6	”	"	PUNCT
cana-1232	255	7	.	.	PUNCT
cana-1232	256	1	[	[	X
cana-1232	256	2	2	2	X
cana-1232	256	3	]	]	PUNCT
cana-1232	256	4	“	"	PUNCT
cana-1232	256	5	wang	wang	PROPN
cana-1232	256	6	,	,	PUNCT
cana-1232	256	7	z.	z.	PROPN
cana-1232	256	8	,	,	PUNCT
cana-1232	256	9	chen	chen	PROPN
cana-1232	256	10	,	,	PUNCT
cana-1232	256	11	j.	j.	PROPN
cana-1232	256	12	,	,	PUNCT
cana-1232	256	13	wu	wu	PROPN
cana-1232	256	14	,	,	PUNCT
cana-1232	256	15	w.	w.	PROPN
cana-1232	256	16	,	,	PUNCT
cana-1232	256	17	&	&	CCONJ
cana-1232	256	18	su	su	PROPN
cana-1232	256	19	,	,	PUNCT
cana-1232	256	20	z.	z.	PROPN
cana-1232	256	21	(	(	PUNCT
cana-1232	256	22	2023	2023	NUM
cana-1232	256	23	)	)	PUNCT
cana-1232	256	24	.	.	PUNCT
cana-1232	257	1	enhancing	enhance	VERB
cana-1232	257	2	image	image	NOUN
cana-1232	257	3	restoration	restoration	NOUN
cana-1232	257	4	via	via	ADP
cana-1232	257	5	generative	generative	ADJ
cana-1232	257	6	adversarial	adversarial	ADJ
cana-1232	257	7	networks	network	NOUN
cana-1232	257	8	with	with	ADP
cana-1232	257	9	dual	dual	ADJ
cana-1232	257	10	-	-	PUNCT
cana-1232	257	11	consistency	consistency	NOUN
cana-1232	257	12	loss	loss	NOUN
cana-1232	257	13	.	.	PUNCT
cana-1232	258	1	ieee	ieee	NOUN
cana-1232	258	2	transactions	transaction	NOUN
cana-1232	258	3	on	on	ADP
cana-1232	258	4	image	image	NOUN
cana-1232	258	5	processing	processing	NOUN
cana-1232	258	6	”	"	PUNCT
cana-1232	258	7	.	.	PUNCT
cana-1232	259	1	[	[	X
cana-1232	259	2	3	3	X
cana-1232	259	3	]	]	PUNCT
cana-1232	259	4	“	"	PUNCT
cana-1232	259	5	jiang	jiang	PROPN
cana-1232	259	6	,	,	PUNCT
cana-1232	259	7	b.	b.	PROPN
cana-1232	259	8	,	,	PUNCT
cana-1232	259	9	wu	wu	PROPN
cana-1232	259	10	,	,	PUNCT
cana-1232	259	11	y.	y.	PROPN
cana-1232	259	12	,	,	PUNCT
cana-1232	259	13	ma	ma	PROPN
cana-1232	259	14	,	,	PUNCT
cana-1232	259	15	k.	k.	PROPN
cana-1232	259	16	,	,	PUNCT
cana-1232	259	17	&	&	CCONJ
cana-1232	259	18	lin	lin	PROPN
cana-1232	259	19	,	,	PUNCT
cana-1232	259	20	z.	z.	PROPN
cana-1232	259	21	(	(	PUNCT
cana-1232	259	22	2023	2023	NUM
cana-1232	259	23	)	)	PUNCT
cana-1232	259	24	.	.	PUNCT
cana-1232	260	1	dual	dual	ADJ
cana-1232	260	2	domain	domain	NOUN
cana-1232	260	3	attention	attention	NOUN
cana-1232	260	4	network	network	NOUN
cana-1232	260	5	for	for	ADP
cana-1232	260	6	single	single	ADJ
cana-1232	260	7	image	image	NOUN
cana-1232	260	8	deraining	deraining	NOUN
cana-1232	260	9	.	.	PUNCT
cana-1232	261	1	proceedings	proceeding	NOUN
cana-1232	261	2	of	of	ADP
cana-1232	261	3	the	the	DET
cana-1232	261	4	ieee	ieee	NOUN
cana-1232	261	5	/	/	SYM
cana-1232	261	6	cvf	cvf	NOUN
cana-1232	261	7	conference	conference	NOUN
cana-1232	261	8	on	on	ADP
cana-1232	261	9	computer	computer	NOUN
cana-1232	261	10	vision	vision	NOUN
cana-1232	261	11	and	and	CCONJ
cana-1232	261	12	pattern	pattern	NOUN
cana-1232	261	13	recognition	recognition	NOUN
cana-1232	261	14	(	(	PUNCT
cana-1232	261	15	cvpr	cvpr	NOUN
cana-1232	261	16	)	)	PUNCT
cana-1232	261	17	”	"	PUNCT
cana-1232	261	18	.	.	PUNCT
cana-1232	262	1	[	[	X
cana-1232	262	2	4	4	X
cana-1232	262	3	]	]	PUNCT
cana-1232	262	4	“	"	PUNCT
cana-1232	262	5	xu	xu	PROPN
cana-1232	262	6	,	,	PUNCT
cana-1232	262	7	q.	q.	PROPN
cana-1232	262	8	,	,	PUNCT
cana-1232	262	9	zhang	zhang	PROPN
cana-1232	262	10	,	,	PUNCT
cana-1232	262	11	k.	k.	PROPN
cana-1232	262	12	,	,	PUNCT
cana-1232	262	13	&	&	CCONJ
cana-1232	262	14	tao	tao	PROPN
cana-1232	262	15	,	,	PUNCT
cana-1232	262	16	d.	d.	PROPN
cana-1232	262	17	(	(	PUNCT
cana-1232	262	18	2023	2023	NUM
cana-1232	262	19	)	)	PUNCT
cana-1232	262	20	.	.	PUNCT
cana-1232	263	1	meta	meta	VERB
cana-1232	263	2	-	-	PUNCT
cana-1232	263	3	learning	learning	NOUN
cana-1232	263	4	for	for	ADP
cana-1232	263	5	blind	blind	ADJ
cana-1232	263	6	image	image	NOUN
cana-1232	263	7	restoration	restoration	NOUN
cana-1232	263	8	.	.	PUNCT
cana-1232	264	1	proceedings	proceeding	NOUN
cana-1232	264	2	of	of	ADP
cana-1232	264	3	the	the	DET
cana-1232	264	4	ieee	ieee	NOUN
cana-1232	264	5	/	/	SYM
cana-1232	264	6	cvf	cvf	NOUN
cana-1232	264	7	conference	conference	NOUN
cana-1232	264	8	on	on	ADP
cana-1232	264	9	computer	computer	NOUN
cana-1232	264	10	vision	vision	NOUN
cana-1232	264	11	and	and	CCONJ
cana-1232	264	12	pattern	pattern	NOUN
cana-1232	264	13	recognition	recognition	NOUN
cana-1232	264	14	(	(	PUNCT
cana-1232	264	15	cvpr	cvpr	NOUN
cana-1232	264	16	)	)	PUNCT
cana-1232	264	17	”	"	PUNCT
cana-1232	264	18	.	.	PUNCT
cana-1232	265	1	[	[	X
cana-1232	265	2	5	5	NUM
cana-1232	265	3	]	]	PUNCT
cana-1232	265	4	“	"	PUNCT
cana-1232	265	5	li	li	PROPN
cana-1232	265	6	,	,	PUNCT
cana-1232	265	7	y.	y.	PROPN
cana-1232	265	8	,	,	PUNCT
cana-1232	265	9	gu	gu	PROPN
cana-1232	265	10	,	,	PUNCT
cana-1232	265	11	s.	s.	PROPN
cana-1232	265	12	,	,	PUNCT
cana-1232	265	13	cai	cai	PROPN
cana-1232	265	14	,	,	PUNCT
cana-1232	265	15	j.	j.	PROPN
cana-1232	265	16	,	,	PUNCT
cana-1232	265	17	&	&	CCONJ
cana-1232	265	18	chen	chen	PROPN
cana-1232	265	19	,	,	PUNCT
cana-1232	265	20	c.	c.	PROPN
cana-1232	265	21	(	(	PUNCT
cana-1232	265	22	2023	2023	NUM
cana-1232	265	23	)	)	PUNCT
cana-1232	265	24	.	.	PUNCT
cana-1232	266	1	learning	learn	VERB
cana-1232	266	2	to	to	PART
cana-1232	266	3	restore	restore	VERB
cana-1232	266	4	images	image	NOUN
cana-1232	266	5	from	from	ADP
cana-1232	266	6	corrupted	corrupted	ADJ
cana-1232	266	7	observations	observation	NOUN
cana-1232	266	8	.	.	PUNCT
cana-1232	267	1	proceedings	proceeding	NOUN
cana-1232	267	2	of	of	ADP
cana-1232	267	3	the	the	DET
cana-1232	267	4	ieee	ieee	NOUN
cana-1232	267	5	/	/	SYM
cana-1232	267	6	cvf	cvf	NOUN
cana-1232	267	7	conference	conference	NOUN
cana-1232	267	8	on	on	ADP
cana-1232	267	9	computer	computer	NOUN
cana-1232	267	10	vision	vision	NOUN
cana-1232	267	11	and	and	CCONJ
cana-1232	267	12	pattern	pattern	NOUN
cana-1232	267	13	recognition	recognition	NOUN
cana-1232	267	14	(	(	PUNCT
cana-1232	267	15	cvpr	cvpr	NOUN
cana-1232	267	16	)	)	PUNCT
cana-1232	267	17	”	"	PUNCT
cana-1232	267	18	.	.	PUNCT
cana-1232	268	1	[	[	X
cana-1232	268	2	6	6	NUM
cana-1232	268	3	]	]	PUNCT
cana-1232	268	4	“	"	PUNCT
cana-1232	268	5	ren	ren	PROPN
cana-1232	268	6	,	,	PUNCT
cana-1232	268	7	w.	w.	PROPN
cana-1232	268	8	,	,	PUNCT
cana-1232	268	9	zuo	zuo	PROPN
cana-1232	268	10	,	,	PUNCT
cana-1232	268	11	w.	w.	PROPN
cana-1232	268	12	,	,	PUNCT
cana-1232	268	13	zhang	zhang	PROPN
cana-1232	268	14	,	,	PUNCT
cana-1232	268	15	d.	d.	PROPN
cana-1232	268	16	,	,	PUNCT
cana-1232	268	17	&	&	CCONJ
cana-1232	268	18	yang	yang	PROPN
cana-1232	268	19	,	,	PUNCT
cana-1232	268	20	m.	m.	NOUN
cana-1232	268	21	(	(	PUNCT
cana-1232	268	22	2023	2023	NUM
cana-1232	268	23	)	)	PUNCT
cana-1232	268	24	.	.	PUNCT
cana-1232	268	25	progressive	progressive	ADJ
cana-1232	268	26	image	image	NOUN
cana-1232	268	27	restoration	restoration	NOUN
cana-1232	268	28	.	.	PUNCT
cana-1232	269	1	proceedings	proceeding	NOUN
cana-1232	269	2	of	of	ADP
cana-1232	269	3	the	the	DET
cana-1232	269	4	ieee	ieee	NOUN
cana-1232	269	5	/	/	SYM
cana-1232	269	6	cvf	cvf	NOUN
cana-1232	269	7	conference	conference	NOUN
cana-1232	269	8	on	on	ADP
cana-1232	269	9	computer	computer	NOUN
cana-1232	269	10	vision	vision	NOUN
cana-1232	269	11	and	and	CCONJ
cana-1232	269	12	pattern	pattern	NOUN
cana-1232	269	13	recognition	recognition	NOUN
cana-1232	269	14	(	(	PUNCT
cana-1232	269	15	cvpr	cvpr	NOUN
cana-1232	269	16	)	)	PUNCT
cana-1232	269	17	”	"	PUNCT
cana-1232	269	18	.	.	PUNCT
cana-1232	270	1	[	[	X
cana-1232	270	2	7	7	X
cana-1232	270	3	]	]	X
cana-1232	270	4	“	"	PUNCT
cana-1232	270	5	zhao	zhao	X
cana-1232	270	6	,	,	PUNCT
cana-1232	270	7	y.	y.	PROPN
cana-1232	270	8	,	,	PUNCT
cana-1232	270	9	zhang	zhang	PROPN
cana-1232	270	10	,	,	PUNCT
cana-1232	270	11	k.	k.	PROPN
cana-1232	270	12	,	,	PUNCT
cana-1232	270	13	&	&	CCONJ
cana-1232	270	14	jiang	jiang	PROPN
cana-1232	270	15	,	,	PUNCT
cana-1232	270	16	w.	w.	PROPN
cana-1232	270	17	(	(	PUNCT
cana-1232	270	18	2023	2023	NUM
cana-1232	270	19	)	)	PUNCT
cana-1232	270	20	.	.	PUNCT
cana-1232	271	1	dual	dual	ADJ
cana-1232	271	2	-	-	PUNCT
cana-1232	271	3	domain	domain	NOUN
cana-1232	271	4	convolutional	convolutional	ADJ
cana-1232	271	5	neural	neural	ADJ
cana-1232	271	6	network	network	NOUN
cana-1232	271	7	for	for	ADP
cana-1232	271	8	image	image	NOUN
cana-1232	271	9	denoising	denoise	VERB
cana-1232	271	10	.	.	PUNCT
cana-1232	272	1	ieee	ieee	NOUN
cana-1232	272	2	transactions	transaction	NOUN
cana-1232	272	3	on	on	ADP
cana-1232	272	4	image	image	NOUN
cana-1232	272	5	processing	processing	NOUN
cana-1232	272	6	”	"	PUNCT
cana-1232	272	7	.	.	PUNCT
cana-1232	273	1	[	[	X
cana-1232	273	2	8	8	NUM
cana-1232	273	3	]	]	PUNCT
cana-1232	273	4	“	"	PUNCT
cana-1232	273	5	xu	xu	PROPN
cana-1232	273	6	,	,	PUNCT
cana-1232	273	7	l.	l.	PROPN
cana-1232	273	8	,	,	PUNCT
cana-1232	273	9	ma	ma	PROPN
cana-1232	273	10	,	,	PUNCT
cana-1232	273	11	y.	y.	PROPN
cana-1232	273	12	,	,	PUNCT
cana-1232	273	13	ma	ma	PROPN
cana-1232	273	14	,	,	PUNCT
cana-1232	273	15	y.	y.	PROPN
cana-1232	273	16	,	,	PUNCT
cana-1232	273	17	&	&	CCONJ
cana-1232	273	18	wu	wu	PROPN
cana-1232	273	19	,	,	PUNCT
cana-1232	273	20	w.	w.	PROPN
cana-1232	273	21	(	(	PUNCT
cana-1232	273	22	2023	2023	NUM
cana-1232	273	23	)	)	PUNCT
cana-1232	273	24	.	.	PUNCT
cana-1232	274	1	learning	learn	VERB
cana-1232	274	2	to	to	PART
cana-1232	274	3	recover	recover	VERB
cana-1232	274	4	image	image	NOUN
cana-1232	274	5	details	detail	NOUN
cana-1232	274	6	for	for	ADP
cana-1232	274	7	super	super	NOUN
cana-1232	274	8	-	-	NOUN
cana-1232	274	9	resolution	resolution	NOUN
cana-1232	274	10	.	.	PUNCT
cana-1232	275	1	proceedings	proceeding	NOUN
cana-1232	275	2	of	of	ADP
cana-1232	275	3	the	the	DET
cana-1232	275	4	ieee	ieee	NOUN
cana-1232	275	5	/	/	SYM
cana-1232	275	6	cvf	cvf	NOUN
cana-1232	275	7	conference	conference	NOUN
cana-1232	275	8	on	on	ADP
cana-1232	275	9	computer	computer	NOUN
cana-1232	275	10	vision	vision	NOUN
cana-1232	275	11	and	and	CCONJ
cana-1232	275	12	pattern	pattern	NOUN
cana-1232	275	13	recognition	recognition	NOUN
cana-1232	275	14	(	(	PUNCT
cana-1232	275	15	cvpr	cvpr	NOUN
cana-1232	275	16	)	)	PUNCT
cana-1232	275	17	”	"	PUNCT
cana-1232	275	18	.	.	PUNCT
cana-1232	276	1	[	[	X
cana-1232	276	2	9	9	NUM
cana-1232	276	3	]	]	PUNCT
cana-1232	276	4	“	"	PUNCT
cana-1232	276	5	xu	xu	PROPN
cana-1232	276	6	,	,	PUNCT
cana-1232	276	7	j.	j.	PROPN
cana-1232	276	8	,	,	PUNCT
cana-1232	276	9	zhang	zhang	PROPN
cana-1232	276	10	,	,	PUNCT
cana-1232	276	11	l.	l.	PROPN
cana-1232	276	12	,	,	PUNCT
cana-1232	276	13	&	&	CCONJ
cana-1232	276	14	yang	yang	PROPN
cana-1232	276	15	,	,	PUNCT
cana-1232	276	16	j.	j.	PROPN
cana-1232	276	17	(	(	PUNCT
cana-1232	276	18	2023	2023	NUM
cana-1232	276	19	)	)	PUNCT
cana-1232	276	20	.	.	PUNCT
cana-1232	277	1	learning	learn	VERB
cana-1232	277	2	dynamic	dynamic	ADJ
cana-1232	277	3	restoration	restoration	NOUN
cana-1232	277	4	for	for	ADP
cana-1232	277	5	video	video	NOUN
cana-1232	277	6	compression	compression	NOUN
cana-1232	277	7	artifacts	artifact	NOUN
cana-1232	277	8	.	.	PUNCT
cana-1232	278	1	proceedings	proceeding	NOUN
cana-1232	278	2	of	of	ADP
cana-1232	278	3	the	the	DET
cana-1232	278	4	ieee	ieee	NOUN
cana-1232	278	5	/	/	SYM
cana-1232	278	6	cvf	cvf	NOUN
cana-1232	278	7	conference	conference	NOUN
cana-1232	278	8	on	on	ADP
cana-1232	278	9	computer	computer	NOUN
cana-1232	278	10	vision	vision	NOUN
cana-1232	278	11	and	and	CCONJ
cana-1232	278	12	pattern	pattern	NOUN
cana-1232	278	13	recognition	recognition	NOUN
cana-1232	278	14	(	(	PUNCT
cana-1232	278	15	cvpr	cvpr	NOUN
cana-1232	278	16	)	)	PUNCT
cana-1232	278	17	”	"	PUNCT
cana-1232	278	18	.	.	PUNCT
cana-1232	279	1	[	[	X
cana-1232	279	2	10	10	NUM
cana-1232	279	3	]	]	PUNCT
cana-1232	279	4	“	"	PUNCT
cana-1232	279	5	zhu	zhu	PROPN
cana-1232	279	6	,	,	PUNCT
cana-1232	279	7	b.	b.	PROPN
cana-1232	279	8	,	,	PUNCT
cana-1232	279	9	zhang	zhang	PROPN
cana-1232	279	10	,	,	PUNCT
cana-1232	279	11	l.	l.	PROPN
cana-1232	279	12	,	,	PUNCT
cana-1232	279	13	&	&	CCONJ
cana-1232	279	14	zhang	zhang	PROPN
cana-1232	279	15	,	,	PUNCT
cana-1232	279	16	l.	l.	PROPN
cana-1232	279	17	(	(	PUNCT
cana-1232	279	18	2023	2023	NUM
cana-1232	279	19	)	)	PUNCT
cana-1232	279	20	.	.	PUNCT
cana-1232	280	1	residual	residual	ADJ
cana-1232	280	2	dense	dense	ADJ
cana-1232	280	3	network	network	NOUN
cana-1232	280	4	for	for	ADP
cana-1232	280	5	image	image	NOUN
cana-1232	280	6	restoration	restoration	NOUN
cana-1232	280	7	.	.	PUNCT
cana-1232	281	1	ieee	ieee	NOUN
cana-1232	281	2	transactions	transaction	NOUN
cana-1232	281	3	on	on	ADP
cana-1232	281	4	image	image	NOUN
cana-1232	281	5	processing	processing	NOUN
cana-1232	281	6	”	"	PUNCT
cana-1232	281	7	.	.	PUNCT
cana-1232	282	1	[	[	X
cana-1232	282	2	11	11	NUM
cana-1232	282	3	]	]	PUNCT
cana-1232	282	4	“	"	PUNCT
cana-1232	282	5	liu	liu	PROPN
cana-1232	282	6	,	,	PUNCT
cana-1232	282	7	s.	s.	PROPN
cana-1232	282	8	,	,	PUNCT
cana-1232	282	9	liu	liu	PROPN
cana-1232	282	10	,	,	PUNCT
cana-1232	282	11	w.	w.	PROPN
cana-1232	282	12	,	,	PUNCT
cana-1232	282	13	&	&	CCONJ
cana-1232	282	14	ma	ma	PROPN
cana-1232	282	15	,	,	PUNCT
cana-1232	282	16	s.	s.	PROPN
cana-1232	282	17	(	(	PUNCT
cana-1232	282	18	2023	2023	NUM
cana-1232	282	19	)	)	PUNCT
cana-1232	282	20	.	.	PUNCT
cana-1232	283	1	self	self	NOUN
cana-1232	283	2	-	-	PUNCT
cana-1232	283	3	supervised	supervise	VERB
cana-1232	283	4	learning	learning	NOUN
cana-1232	283	5	for	for	ADP
cana-1232	283	6	image	image	NOUN
cana-1232	283	7	restoration	restoration	NOUN
cana-1232	283	8	.	.	PUNCT
cana-1232	284	1	proceedings	proceeding	NOUN
cana-1232	284	2	of	of	ADP
cana-1232	284	3	the	the	DET
cana-1232	284	4	ieee	ieee	NOUN
cana-1232	284	5	/	/	SYM
cana-1232	284	6	cvf	cvf	NOUN
cana-1232	284	7	conference	conference	NOUN
cana-1232	284	8	on	on	ADP
cana-1232	284	9	computer	computer	NOUN
cana-1232	284	10	vision	vision	NOUN
cana-1232	284	11	and	and	CCONJ
cana-1232	284	12	pattern	pattern	NOUN
cana-1232	284	13	recognition	recognition	NOUN
cana-1232	284	14	(	(	PUNCT
cana-1232	284	15	cvpr	cvpr	NOUN
cana-1232	284	16	)	)	PUNCT
cana-1232	284	17	”	"	PUNCT
cana-1232	284	18	.	.	PUNCT
cana-1232	285	1	[	[	X
cana-1232	285	2	12	12	NUM
cana-1232	285	3	]	]	PUNCT
cana-1232	285	4	“	"	PUNCT
cana-1232	285	5	li	li	PROPN
cana-1232	285	6	,	,	PUNCT
cana-1232	285	7	x.	x.	PROPN
cana-1232	285	8	,	,	PUNCT
cana-1232	285	9	li	li	PROPN
cana-1232	285	10	,	,	PUNCT
cana-1232	285	11	z.	z.	PROPN
cana-1232	285	12	,	,	PUNCT
cana-1232	285	13	&	&	CCONJ
cana-1232	285	14	dong	dong	PROPN
cana-1232	285	15	,	,	PUNCT
cana-1232	285	16	c.	c.	PROPN
cana-1232	285	17	(	(	PUNCT
cana-1232	285	18	2023	2023	NUM
cana-1232	285	19	)	)	PUNCT
cana-1232	285	20	.	.	PUNCT
cana-1232	286	1	adversarial	adversarial	ADJ
cana-1232	286	2	learning	learning	NOUN
cana-1232	286	3	for	for	ADP
cana-1232	286	4	image	image	NOUN
cana-1232	286	5	restoration	restoration	NOUN
cana-1232	286	6	.	.	PUNCT
cana-1232	287	1	proceedings	proceeding	NOUN
cana-1232	287	2	of	of	ADP
cana-1232	287	3	the	the	DET
cana-1232	287	4	ieee	ieee	NOUN
cana-1232	287	5	/	/	SYM
cana-1232	287	6	cvf	cvf	NOUN
cana-1232	287	7	conference	conference	NOUN
cana-1232	287	8	on	on	ADP
cana-1232	287	9	computer	computer	NOUN
cana-1232	287	10	vision	vision	NOUN
cana-1232	287	11	and	and	CCONJ
cana-1232	287	12	pattern	pattern	NOUN
cana-1232	287	13	recognition	recognition	NOUN
cana-1232	287	14	(	(	PUNCT
cana-1232	287	15	cvpr	cvpr	NOUN
cana-1232	287	16	)	)	PUNCT
cana-1232	287	17	”	"	PUNCT
cana-1232	287	18	.	.	PUNCT
cana-1232	288	1	communications	communication	NOUN
cana-1232	288	2	on	on	ADP
cana-1232	288	3	applied	apply	VERB
cana-1232	288	4	nonlinear	nonlinear	ADJ
cana-1232	288	5	analysis	analysis	NOUN
cana-1232	288	6	issn	issn	NOUN
cana-1232	288	7	:	:	PUNCT
cana-1232	288	8	1074	1074	NUM
cana-1232	288	9	-	-	PUNCT
cana-1232	288	10	133x	133x	NUM
cana-1232	288	11	vol	vol	NOUN
cana-1232	288	12	31	31	NUM
cana-1232	288	13	no	no	NOUN
cana-1232	288	14	.	.	PUNCT
cana-1232	289	1	6s	6s	NUM
cana-1232	289	2	(	(	PUNCT
cana-1232	289	3	2024	2024	NUM
cana-1232	289	4	)	)	PUNCT
cana-1232	289	5	416	416	NUM
cana-1232	289	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1232	290	1	[	[	X
cana-1232	290	2	13	13	NUM
cana-1232	290	3	]	]	PUNCT
cana-1232	290	4	“	"	PUNCT
cana-1232	290	5	zheng	zheng	PROPN
cana-1232	290	6	,	,	PUNCT
cana-1232	290	7	y.	y.	PROPN
cana-1232	290	8	,	,	PUNCT
cana-1232	290	9	liu	liu	PROPN
cana-1232	290	10	,	,	PUNCT
cana-1232	290	11	y.	y.	PROPN
cana-1232	290	12	,	,	PUNCT
cana-1232	290	13	&	&	CCONJ
cana-1232	290	14	jia	jia	PROPN
cana-1232	290	15	,	,	PUNCT
cana-1232	290	16	j.	j.	PROPN
cana-1232	290	17	(	(	PUNCT
cana-1232	290	18	2023	2023	NUM
cana-1232	290	19	)	)	PUNCT
cana-1232	290	20	.	.	PUNCT
cana-1232	290	21	high	high	ADJ
cana-1232	290	22	-	-	PUNCT
cana-1232	290	23	fidelity	fidelity	NOUN
cana-1232	290	24	restoration	restoration	NOUN
cana-1232	290	25	of	of	ADP
cana-1232	290	26	old	old	ADJ
cana-1232	290	27	photographs	photograph	NOUN
cana-1232	290	28	.	.	PUNCT
cana-1232	291	1	proceedings	proceeding	NOUN
cana-1232	291	2	of	of	ADP
cana-1232	291	3	the	the	DET
cana-1232	291	4	ieee	ieee	NOUN
cana-1232	291	5	/	/	SYM
cana-1232	291	6	cvf	cvf	NOUN
cana-1232	291	7	conference	conference	NOUN
cana-1232	291	8	on	on	ADP
cana-1232	291	9	computer	computer	NOUN
cana-1232	291	10	vision	vision	NOUN
cana-1232	291	11	and	and	CCONJ
cana-1232	291	12	pattern	pattern	NOUN
cana-1232	291	13	recognition	recognition	NOUN
cana-1232	291	14	(	(	PUNCT
cana-1232	291	15	cvpr	cvpr	NOUN
cana-1232	291	16	)	)	PUNCT
cana-1232	291	17	”	"	PUNCT
cana-1232	291	18	.	.	PUNCT
cana-1232	292	1	[	[	X
cana-1232	292	2	14	14	NUM
cana-1232	292	3	]	]	PUNCT
cana-1232	292	4	“	"	PUNCT
cana-1232	292	5	wang	wang	PROPN
cana-1232	292	6	,	,	PUNCT
cana-1232	292	7	z.	z.	PROPN
cana-1232	292	8	,	,	PUNCT
cana-1232	292	9	liu	liu	PROPN
cana-1232	292	10	,	,	PUNCT
cana-1232	292	11	d.	d.	PROPN
cana-1232	292	12	,	,	PUNCT
cana-1232	292	13	&	&	CCONJ
cana-1232	292	14	yang	yang	PROPN
cana-1232	292	15	,	,	PUNCT
cana-1232	292	16	j.	j.	PROPN
cana-1232	292	17	(	(	PUNCT
cana-1232	292	18	2023	2023	NUM
cana-1232	292	19	)	)	PUNCT
cana-1232	292	20	.	.	PUNCT
cana-1232	293	1	learning	learn	VERB
cana-1232	293	2	to	to	PART
cana-1232	293	3	restore	restore	VERB
cana-1232	293	4	real	real	ADJ
cana-1232	293	5	-	-	PUNCT
cana-1232	293	6	world	world	NOUN
cana-1232	293	7	images	image	NOUN
cana-1232	293	8	with	with	ADP
cana-1232	293	9	noise	noise	NOUN
cana-1232	293	10	.	.	PUNCT
cana-1232	294	1	proceedings	proceeding	NOUN
cana-1232	294	2	of	of	ADP
cana-1232	294	3	the	the	DET
cana-1232	294	4	european	european	PROPN
cana-1232	294	5	conference	conference	PROPN
cana-1232	294	6	on	on	ADP
cana-1232	294	7	computer	computer	NOUN
cana-1232	294	8	vision	vision	NOUN
cana-1232	294	9	(	(	PUNCT
cana-1232	294	10	eccv	eccv	ADV
cana-1232	294	11	)	)	PUNCT
cana-1232	294	12	”	"	PUNCT
cana-1232	294	13	.	.	PUNCT
cana-1232	295	1	[	[	X
cana-1232	295	2	15	15	NUM
cana-1232	295	3	]	]	PUNCT
cana-1232	295	4	“	"	PUNCT
cana-1232	295	5	hu	hu	PROPN
cana-1232	295	6	,	,	PUNCT
cana-1232	295	7	h.	h.	PROPN
cana-1232	295	8	,	,	PUNCT
cana-1232	295	9	gu	gu	PROPN
cana-1232	295	10	,	,	PUNCT
cana-1232	295	11	j.	j.	PROPN
cana-1232	295	12	,	,	PUNCT
cana-1232	295	13	&	&	CCONJ
cana-1232	295	14	zhang	zhang	PROPN
cana-1232	295	15	,	,	PUNCT
cana-1232	295	16	l.	l.	PROPN
cana-1232	295	17	(	(	PUNCT
cana-1232	295	18	2023	2023	NUM
cana-1232	295	19	)	)	PUNCT
cana-1232	295	20	.	.	PUNCT
cana-1232	296	1	contextual	contextual	ADJ
cana-1232	296	2	restoration	restoration	NOUN
cana-1232	296	3	for	for	ADP
cana-1232	296	4	image	image	NOUN
cana-1232	296	5	manipulation	manipulation	NOUN
cana-1232	296	6	.	.	PUNCT
cana-1232	297	1	proceedings	proceeding	NOUN
cana-1232	297	2	of	of	ADP
cana-1232	297	3	the	the	DET
cana-1232	297	4	european	european	PROPN
cana-1232	297	5	conference	conference	PROPN
cana-1232	297	6	on	on	ADP
cana-1232	297	7	computer	computer	NOUN
cana-1232	297	8	vision	vision	NOUN
cana-1232	297	9	(	(	PUNCT
cana-1232	297	10	eccv	eccv	ADV
cana-1232	297	11	)	)	PUNCT
cana-1232	297	12	”	"	PUNCT
cana-1232	297	13	.	.	PUNCT
cana-1232	298	1	[	[	X
cana-1232	298	2	16	16	NUM
cana-1232	298	3	]	]	PUNCT
cana-1232	298	4	“	"	PUNCT
cana-1232	298	5	zhang	zhang	PROPN
cana-1232	298	6	,	,	PUNCT
cana-1232	298	7	y.	y.	PROPN
cana-1232	298	8	,	,	PUNCT
cana-1232	298	9	zhang	zhang	PROPN
cana-1232	298	10	,	,	PUNCT
cana-1232	298	11	k.	k.	PROPN
cana-1232	298	12	,	,	PUNCT
cana-1232	298	13	&	&	CCONJ
cana-1232	298	14	li	li	PROPN
cana-1232	298	15	,	,	PUNCT
cana-1232	298	16	x.	x.	NOUN
cana-1232	298	17	(	(	PUNCT
cana-1232	298	18	2023	2023	NUM
cana-1232	298	19	)	)	PUNCT
cana-1232	298	20	.	.	PUNCT
cana-1232	299	1	progressive	progressive	ADJ
cana-1232	299	2	restoration	restoration	NOUN
cana-1232	299	3	with	with	ADP
cana-1232	299	4	deep	deep	ADJ
cana-1232	299	5	neural	neural	ADJ
cana-1232	299	6	networks	network	NOUN
cana-1232	299	7	.	.	PUNCT
cana-1232	300	1	ieee	ieee	NOUN
cana-1232	300	2	transactions	transaction	NOUN
cana-1232	300	3	on	on	ADP
cana-1232	300	4	image	image	NOUN
cana-1232	300	5	processing	processing	NOUN
cana-1232	300	6	”	"	PUNCT
cana-1232	300	7	.	.	PUNCT
cana-1232	301	1	[	[	X
cana-1232	301	2	17	17	NUM
cana-1232	301	3	]	]	PUNCT
cana-1232	301	4	“	"	PUNCT
cana-1232	301	5	wu	wu	PROPN
cana-1232	301	6	,	,	PUNCT
cana-1232	301	7	y.	y.	PROPN
cana-1232	301	8	,	,	PUNCT
cana-1232	301	9	jiang	jiang	PROPN
cana-1232	301	10	,	,	PUNCT
cana-1232	301	11	b.	b.	PROPN
cana-1232	301	12	,	,	PUNCT
cana-1232	301	13	&	&	CCONJ
cana-1232	301	14	lin	lin	PROPN
cana-1232	301	15	,	,	PUNCT
cana-1232	301	16	z.	z.	PROPN
cana-1232	301	17	(	(	PUNCT
cana-1232	301	18	2023	2023	NUM
cana-1232	301	19	)	)	PUNCT
cana-1232	301	20	.	.	PUNCT
cana-1232	302	1	spatial	spatial	ADJ
cana-1232	302	2	attention	attention	NOUN
cana-1232	302	3	networks	network	NOUN
cana-1232	302	4	for	for	ADP
cana-1232	302	5	image	image	NOUN
cana-1232	302	6	restoration	restoration	NOUN
cana-1232	302	7	.	.	PUNCT
cana-1232	303	1	proceedings	proceeding	NOUN
cana-1232	303	2	of	of	ADP
cana-1232	303	3	the	the	DET
cana-1232	303	4	european	european	PROPN
cana-1232	303	5	conference	conference	PROPN
cana-1232	303	6	on	on	ADP
cana-1232	303	7	computer	computer	NOUN
cana-1232	303	8	vision	vision	NOUN
cana-1232	303	9	(	(	PUNCT
cana-1232	303	10	eccv	eccv	ADV
cana-1232	303	11	)	)	PUNCT
cana-1232	303	12	”	"	PUNCT
cana-1232	303	13	.	.	PUNCT
cana-1232	304	1	[	[	X
cana-1232	304	2	18	18	NUM
cana-1232	304	3	]	]	PUNCT
cana-1232	304	4	“	"	PUNCT
cana-1232	304	5	liu	liu	PROPN
cana-1232	304	6	,	,	PUNCT
cana-1232	304	7	h.	h.	PROPN
cana-1232	304	8	,	,	PUNCT
cana-1232	304	9	zhang	zhang	PROPN
cana-1232	304	10	,	,	PUNCT
cana-1232	304	11	s.	s.	PROPN
cana-1232	304	12	,	,	PUNCT
cana-1232	304	13	&	&	CCONJ
cana-1232	304	14	ma	ma	PROPN
cana-1232	304	15	,	,	PUNCT
cana-1232	304	16	y.	y.	PROPN
cana-1232	304	17	(	(	PUNCT
cana-1232	304	18	2023	2023	NUM
cana-1232	304	19	)	)	PUNCT
cana-1232	304	20	.	.	PUNCT
cana-1232	305	1	deep	deep	ADJ
cana-1232	305	2	image	image	NOUN
cana-1232	305	3	restoration	restoration	NOUN
cana-1232	305	4	with	with	ADP
cana-1232	305	5	uncertainty	uncertainty	NOUN
cana-1232	305	6	estimation	estimation	NOUN
cana-1232	305	7	.	.	PUNCT
cana-1232	306	1	proceedings	proceeding	NOUN
cana-1232	306	2	of	of	ADP
cana-1232	306	3	the	the	DET
cana-1232	306	4	european	european	PROPN
cana-1232	306	5	conference	conference	PROPN
cana-1232	306	6	on	on	ADP
cana-1232	306	7	computer	computer	NOUN
cana-1232	306	8	vision	vision	NOUN
cana-1232	306	9	(	(	PUNCT
cana-1232	306	10	eccv	eccv	ADV
cana-1232	306	11	)	)	PUNCT
cana-1232	306	12	”	"	PUNCT
cana-1232	306	13	.	.	PUNCT
cana-1232	307	1	[	[	X
cana-1232	307	2	19	19	NUM
cana-1232	307	3	]	]	X
cana-1232	307	4	“	"	PUNCT
cana-1232	307	5	zhao	zhao	PROPN
cana-1232	307	6	,	,	PUNCT
cana-1232	307	7	s.	s.	PROPN
cana-1232	307	8	,	,	PUNCT
cana-1232	307	9	liu	liu	PROPN
cana-1232	307	10	,	,	PUNCT
cana-1232	307	11	x.	x.	PROPN
cana-1232	307	12	,	,	PUNCT
cana-1232	307	13	&	&	CCONJ
cana-1232	307	14	tao	tao	PROPN
cana-1232	307	15	,	,	PUNCT
cana-1232	307	16	d.	d.	PROPN
cana-1232	307	17	(	(	PUNCT
cana-1232	307	18	2023	2023	NUM
cana-1232	307	19	)	)	PUNCT
cana-1232	307	20	.	.	PUNCT
cana-1232	308	1	hierarchical	hierarchical	ADJ
cana-1232	308	2	image	image	NOUN
cana-1232	308	3	restoration	restoration	NOUN
cana-1232	308	4	via	via	ADP
cana-1232	308	5	multi	multi	ADJ
cana-1232	308	6	-	-	ADJ
cana-1232	308	7	task	task	ADJ
cana-1232	308	8	learning	learning	NOUN
cana-1232	308	9	.	.	PUNCT
cana-1232	309	1	ieee	ieee	NOUN
cana-1232	309	2	transactions	transaction	NOUN
cana-1232	309	3	on	on	ADP
cana-1232	309	4	image	image	NOUN
cana-1232	309	5	processing	processing	NOUN
cana-1232	309	6	”	"	PUNCT
cana-1232	309	7	.	.	PUNCT
cana-1232	310	1	[	[	X
cana-1232	310	2	20	20	NUM
cana-1232	310	3	]	]	PUNCT
cana-1232	310	4	“	"	PUNCT
cana-1232	310	5	zhang	zhang	PROPN
cana-1232	310	6	,	,	PUNCT
cana-1232	310	7	r.	r.	PROPN
cana-1232	310	8	,	,	PUNCT
cana-1232	310	9	gu	gu	PROPN
cana-1232	310	10	,	,	PUNCT
cana-1232	310	11	s.	s.	PROPN
cana-1232	310	12	,	,	PUNCT
cana-1232	310	13	&	&	CCONJ
cana-1232	310	14	liu	liu	PROPN
cana-1232	310	15	,	,	PUNCT
cana-1232	310	16	s.	s.	PROPN
cana-1232	310	17	(	(	PUNCT
cana-1232	310	18	2023	2023	NUM
cana-1232	310	19	)	)	PUNCT
cana-1232	310	20	.	.	PUNCT
cana-1232	311	1	self	self	NOUN
cana-1232	311	2	-	-	PUNCT
cana-1232	311	3	supervised	supervise	VERB
cana-1232	311	4	restoration	restoration	NOUN
cana-1232	311	5	with	with	ADP
cana-1232	311	6	generative	generative	ADJ
cana-1232	311	7	models	model	NOUN
cana-1232	311	8	.	.	PUNCT
cana-1232	312	1	proceedings	proceeding	NOUN
cana-1232	312	2	of	of	ADP
cana-1232	312	3	the	the	DET
cana-1232	312	4	international	international	ADJ
cana-1232	312	5	conference	conference	NOUN
cana-1232	312	6	on	on	ADP
cana-1232	312	7	computer	computer	NOUN
cana-1232	312	8	vision	vision	NOUN
cana-1232	312	9	(	(	PUNCT
cana-1232	312	10	iccv	iccv	NOUN
cana-1232	312	11	)	)	PUNCT
cana-1232	312	12	”	"	PUNCT
cana-1232	312	13	.	.	PUNCT
cana-1232	313	1	[	[	X
cana-1232	313	2	21	21	NUM
cana-1232	313	3	]	]	PUNCT
cana-1232	313	4	“	"	PUNCT
cana-1232	313	5	wang	wang	PROPN
cana-1232	313	6	,	,	PUNCT
cana-1232	313	7	y.	y.	PROPN
cana-1232	313	8	,	,	PUNCT
cana-1232	313	9	chen	chen	PROPN
cana-1232	313	10	,	,	PUNCT
cana-1232	313	11	q.	q.	PROPN
cana-1232	313	12	,	,	PUNCT
cana-1232	313	13	&	&	CCONJ
cana-1232	313	14	yuille	yuille	PROPN
cana-1232	313	15	,	,	PUNCT
cana-1232	313	16	a.	a.	NOUN
cana-1232	313	17	(	(	PUNCT
cana-1232	313	18	2023	2023	NUM
cana-1232	313	19	)	)	PUNCT
cana-1232	313	20	.	.	PUNCT
cana-1232	314	1	multi	multi	ADJ
cana-1232	314	2	-	-	ADJ
cana-1232	314	3	scale	scale	ADJ
cana-1232	314	4	image	image	NOUN
cana-1232	314	5	restoration	restoration	NOUN
cana-1232	314	6	via	via	ADP
cana-1232	314	7	graph	graph	NOUN
cana-1232	314	8	neural	neural	ADJ
cana-1232	314	9	networks	network	NOUN
cana-1232	314	10	.	.	PUNCT
cana-1232	315	1	proceedings	proceeding	NOUN
cana-1232	315	2	of	of	ADP
cana-1232	315	3	the	the	DET
cana-1232	315	4	international	international	ADJ
cana-1232	315	5	conference	conference	NOUN
cana-1232	315	6	on	on	ADP
cana-1232	315	7	computer	computer	NOUN
cana-1232	315	8	vision	vision	NOUN
cana-1232	315	9	(	(	PUNCT
cana-1232	315	10	iccv	iccv	NOUN
cana-1232	315	11	)	)	PUNCT
cana-1232	315	12	”	"	PUNCT
cana-1232	315	13	.	.	PUNCT
cana-1232	316	1	[	[	X
cana-1232	316	2	22	22	NUM
cana-1232	316	3	]	]	PUNCT
cana-1232	316	4	“	"	PUNCT
cana-1232	316	5	li	li	PROPN
cana-1232	316	6	,	,	PUNCT
cana-1232	316	7	y.	y.	PROPN
cana-1232	316	8	,	,	PUNCT
cana-1232	316	9	li	li	PROPN
cana-1232	316	10	,	,	PUNCT
cana-1232	316	11	z.	z.	PROPN
cana-1232	316	12	,	,	PUNCT
cana-1232	316	13	&	&	CCONJ
cana-1232	316	14	zhang	zhang	PROPN
cana-1232	316	15	,	,	PUNCT
cana-1232	316	16	l.	l.	PROPN
cana-1232	316	17	(	(	PUNCT
cana-1232	316	18	2023	2023	NUM
cana-1232	316	19	)	)	PUNCT
cana-1232	316	20	.	.	PUNCT
cana-1232	317	1	learning	learn	VERB
cana-1232	317	2	invariant	invariant	ADJ
cana-1232	317	3	representations	representation	NOUN
cana-1232	317	4	for	for	ADP
cana-1232	317	5	image	image	NOUN
cana-1232	317	6	restoration	restoration	NOUN
cana-1232	317	7	.	.	PUNCT
cana-1232	318	1	proceedings	proceeding	NOUN
cana-1232	318	2	of	of	ADP
cana-1232	318	3	the	the	DET
cana-1232	318	4	international	international	ADJ
cana-1232	318	5	conference	conference	NOUN
cana-1232	318	6	on	on	ADP
cana-1232	318	7	computer	computer	NOUN
cana-1232	318	8	vision	vision	NOUN
cana-1232	318	9	(	(	PUNCT
cana-1232	318	10	iccv	iccv	NOUN
cana-1232	318	11	)	)	PUNCT
cana-1232	318	12	”	"	PUNCT
cana-1232	318	13	.	.	PUNCT
cana-1232	319	1	[	[	X
cana-1232	319	2	23	23	NUM
cana-1232	319	3	]	]	PUNCT
cana-1232	319	4	“	"	PUNCT
cana-1232	319	5	zhou	zhou	X
cana-1232	319	6	,	,	PUNCT
cana-1232	319	7	y.	y.	PROPN
cana-1232	319	8	,	,	PUNCT
cana-1232	319	9	zhang	zhang	PROPN
cana-1232	319	10	,	,	PUNCT
cana-1232	319	11	k.	k.	PROPN
cana-1232	319	12	,	,	PUNCT
cana-1232	319	13	&	&	CCONJ
cana-1232	319	14	zhang	zhang	PROPN
cana-1232	319	15	,	,	PUNCT
cana-1232	319	16	l.	l.	PROPN
cana-1232	319	17	(	(	PUNCT
cana-1232	319	18	2023	2023	NUM
cana-1232	319	19	)	)	PUNCT
cana-1232	319	20	.	.	PUNCT
cana-1232	320	1	progressive	progressive	ADJ
cana-1232	320	2	learning	learn	VERB
cana-1232	320	3	for	for	ADP
cana-1232	320	4	image	image	NOUN
cana-1232	320	5	restoration	restoration	NOUN
cana-1232	320	6	.	.	PUNCT
cana-1232	321	1	ieee	ieee	NOUN
cana-1232	321	2	transactions	transaction	NOUN
cana-1232	321	3	on	on	ADP
cana-1232	321	4	image	image	NOUN
cana-1232	321	5	processing	processing	NOUN
cana-1232	321	6	”	"	PUNCT
cana-1232	321	7	.	.	PUNCT
cana-1232	322	1	[	[	X
cana-1232	322	2	24	24	NUM
cana-1232	322	3	]	]	PUNCT
cana-1232	322	4	“	"	PUNCT
cana-1232	322	5	xu	xu	PROPN
cana-1232	322	6	,	,	PUNCT
cana-1232	322	7	l.	l.	PROPN
cana-1232	322	8	,	,	PUNCT
cana-1232	322	9	zhang	zhang	PROPN
cana-1232	322	10	,	,	PUNCT
cana-1232	322	11	k.	k.	PROPN
cana-1232	322	12	,	,	PUNCT
cana-1232	322	13	&	&	CCONJ
cana-1232	322	14	ma	ma	PROPN
cana-1232	322	15	,	,	PUNCT
cana-1232	322	16	y.	y.	PROPN
cana-1232	322	17	(	(	PUNCT
cana-1232	322	18	2023	2023	NUM
cana-1232	322	19	)	)	PUNCT
cana-1232	322	20	.	.	PUNCT
cana-1232	323	1	deep	deep	ADJ
cana-1232	323	2	restoration	restoration	NOUN
cana-1232	323	3	networks	network	NOUN
cana-1232	323	4	with	with	ADP
cana-1232	323	5	attention	attention	NOUN
cana-1232	323	6	mechanisms	mechanism	NOUN
cana-1232	323	7	.	.	PUNCT
cana-1232	324	1	proceedings	proceeding	NOUN
cana-1232	324	2	of	of	ADP
cana-1232	324	3	the	the	DET
cana-1232	324	4	international	international	ADJ
cana-1232	324	5	conference	conference	NOUN
cana-1232	324	6	on	on	ADP
cana-1232	324	7	computer	computer	NOUN
cana-1232	324	8	vision	vision	NOUN
cana-1232	324	9	(	(	PUNCT
cana-1232	324	10	iccv	iccv	NOUN
cana-1232	324	11	)	)	PUNCT
cana-1232	324	12	”	"	PUNCT
cana-1232	324	13	.	.	PUNCT
cana-1232	325	1	[	[	X
cana-1232	325	2	25	25	NUM
cana-1232	325	3	]	]	PUNCT
cana-1232	325	4	“	"	PUNCT
cana-1232	325	5	liu	liu	PROPN
cana-1232	325	6	,	,	PUNCT
cana-1232	325	7	d.	d.	PROPN
cana-1232	325	8	,	,	PUNCT
cana-1232	325	9	zhang	zhang	PROPN
cana-1232	325	10	,	,	PUNCT
cana-1232	325	11	t.	t.	PROPN
cana-1232	325	12	,	,	PUNCT
cana-1232	325	13	&	&	CCONJ
cana-1232	325	14	huang	huang	PROPN
cana-1232	325	15	,	,	PUNCT
cana-1232	325	16	j.	j.	PROPN
cana-1232	325	17	(	(	PUNCT
cana-1232	325	18	2023	2023	NUM
cana-1232	325	19	)	)	PUNCT
cana-1232	325	20	.	.	PUNCT
cana-1232	326	1	joint	joint	ADJ
cana-1232	326	2	image	image	NOUN
cana-1232	326	3	restoration	restoration	NOUN
cana-1232	326	4	and	and	CCONJ
cana-1232	326	5	enhancement	enhancement	NOUN
cana-1232	326	6	via	via	ADP
cana-1232	326	7	variational	variational	ADJ
cana-1232	326	8	methods	method	NOUN
cana-1232	326	9	.	.	PUNCT
cana-1232	327	1	proceedings	proceeding	NOUN
cana-1232	327	2	of	of	ADP
cana-1232	327	3	the	the	DET
cana-1232	327	4	international	international	ADJ
cana-1232	327	5	conference	conference	NOUN
cana-1232	327	6	on	on	ADP
cana-1232	327	7	computer	computer	NOUN
cana-1232	327	8	vision	vision	NOUN
cana-1232	327	9	(	(	PUNCT
cana-1232	327	10	iccv	iccv	NOUN
cana-1232	327	11	)	)	PUNCT
cana-1232	327	12	”	"	PUNCT
cana-1232	327	13	.	.	PUNCT