id	sid	tid	token	lemma	pos
fcis-2242	1	1	frontiers	frontier	NOUN
fcis-2242	1	2	in	in	ADP
fcis-2242	1	3	computing	computing	NOUN
fcis-2242	1	4	and	and	CCONJ
fcis-2242	1	5	intelligent	intelligent	ADJ
fcis-2242	1	6	systems	system	NOUN
fcis-2242	1	7	issn	issn	VERB
fcis-2242	1	8	:	:	PUNCT
fcis-2242	1	9	2832	2832	NUM
fcis-2242	1	10	-	-	SYM
fcis-2242	1	11	6024	6024	NUM
fcis-2242	1	12	|	|	NOUN
fcis-2242	1	13	vol	vol	NOUN
fcis-2242	1	14	.	.	PROPN
fcis-2242	2	1	1	1	NUM
fcis-2242	2	2	,	,	PUNCT
fcis-2242	2	3	no	no	INTJ
fcis-2242	2	4	.	.	NOUN
fcis-2242	2	5	3	3	NUM
fcis-2242	2	6	,	,	PUNCT
fcis-2242	2	7	2022	2022	NUM
fcis-2242	2	8	88	88	NUM
fcis-2242	2	9	a	a	DET
fcis-2242	2	10	survey	survey	NOUN
fcis-2242	2	11	of	of	ADP
fcis-2242	2	12	low	low	ADJ
fcis-2242	2	13	-	-	PUNCT
fcis-2242	2	14	light	light	NOUN
fcis-2242	2	15	image	image	NOUN
fcis-2242	2	16	enhancement	enhancement	NOUN
fcis-2242	2	17	weiqiang	weiqiang	PROPN
fcis-2242	2	18	liu1	liu1	PROPN
fcis-2242	2	19	,	,	PUNCT
fcis-2242	2	20	peng	peng	PROPN
fcis-2242	2	21	zhao1	zhao1	PROPN
fcis-2242	2	22	,	,	PUNCT
fcis-2242	2	23	*	*	PUNCT
fcis-2242	2	24	,	,	PUNCT
fcis-2242	2	25	xiangying	xiangye	VERB
fcis-2242	2	26	song2	song2	PROPN
fcis-2242	2	27	,	,	PUNCT
fcis-2242	2	28	bo	bo	PROPN
fcis-2242	2	29	zhang	zhang	PROPN
fcis-2242	2	30	1	1	NUM
fcis-2242	2	31	1	1	NUM
fcis-2242	2	32	college	college	NOUN
fcis-2242	2	33	of	of	ADP
fcis-2242	2	34	operational	operational	ADJ
fcis-2242	2	35	support	support	NOUN
fcis-2242	2	36	,	,	PUNCT
fcis-2242	2	37	rocket	rocket	NOUN
fcis-2242	2	38	force	force	NOUN
fcis-2242	2	39	university	university	PROPN
fcis-2242	2	40	of	of	ADP
fcis-2242	2	41	engineering	engineering	PROPN
fcis-2242	2	42	,	,	PUNCT
fcis-2242	2	43	xi’an	xi’an	PROPN
fcis-2242	2	44	,	,	PUNCT
fcis-2242	2	45	china	china	PROPN
fcis-2242	2	46	;	;	PUNCT
fcis-2242	2	47	2	2	NUM
fcis-2242	2	48	troops	troop	NOUN
fcis-2242	2	49	no.96951	no.96951	PROPN
fcis-2242	2	50	,	,	PUNCT
fcis-2242	2	51	beijing	beijing	PROPN
fcis-2242	2	52	,	,	PUNCT
fcis-2242	2	53	china	china	PROPN
fcis-2242	2	54	.	.	PUNCT
fcis-2242	3	1	*	*	PUNCT
fcis-2242	3	2	corresponding	correspond	VERB
fcis-2242	3	3	author	author	NOUN
fcis-2242	3	4	:	:	PUNCT
fcis-2242	3	5	peng	peng	PROPN
fcis-2242	3	6	zhao	zhao	PROPN
fcis-2242	3	7	.	.	PUNCT
fcis-2242	4	1	abstract	abstract	ADJ
fcis-2242	4	2	:	:	PUNCT
fcis-2242	4	3	with	with	ADP
fcis-2242	4	4	the	the	DET
fcis-2242	4	5	higher	high	ADJ
fcis-2242	4	6	requirements	requirement	NOUN
fcis-2242	4	7	of	of	ADP
fcis-2242	4	8	computer	computer	NOUN
fcis-2242	4	9	vision	vision	NOUN
fcis-2242	4	10	image	image	NOUN
fcis-2242	4	11	enhancement	enhancement	NOUN
fcis-2242	4	12	of	of	ADP
fcis-2242	4	13	low	low	ADJ
fcis-2242	4	14	-	-	PUNCT
fcis-2242	4	15	light	light	NOUN
fcis-2242	4	16	image	image	NOUN
fcis-2242	4	17	has	have	AUX
fcis-2242	4	18	become	become	VERB
fcis-2242	4	19	an	an	DET
fcis-2242	4	20	important	important	ADJ
fcis-2242	4	21	research	research	NOUN
fcis-2242	4	22	content	content	NOUN
fcis-2242	4	23	of	of	ADP
fcis-2242	4	24	computer	computer	NOUN
fcis-2242	4	25	vision	vision	NOUN
fcis-2242	4	26	.	.	PUNCT
fcis-2242	5	1	traditional	traditional	ADJ
fcis-2242	5	2	low	low	ADJ
fcis-2242	5	3	-	-	PUNCT
fcis-2242	5	4	light	light	NOUN
fcis-2242	5	5	image	image	NOUN
fcis-2242	5	6	enhancement	enhancement	NOUN
fcis-2242	5	7	algorithms	algorithm	NOUN
fcis-2242	5	8	can	can	AUX
fcis-2242	5	9	improve	improve	VERB
fcis-2242	5	10	image	image	NOUN
fcis-2242	5	11	brightness	brightness	NOUN
fcis-2242	5	12	and	and	CCONJ
fcis-2242	5	13	detailed	detailed	ADJ
fcis-2242	5	14	visibility	visibility	NOUN
fcis-2242	5	15	to	to	ADP
fcis-2242	5	16	varying	vary	VERB
fcis-2242	5	17	degrees	degree	NOUN
fcis-2242	5	18	,	,	PUNCT
fcis-2242	5	19	but	but	CCONJ
fcis-2242	5	20	due	due	ADP
fcis-2242	5	21	to	to	ADP
fcis-2242	5	22	their	their	PRON
fcis-2242	5	23	strict	strict	ADJ
fcis-2242	5	24	mathematical	mathematical	ADJ
fcis-2242	5	25	derivation	derivation	NOUN
fcis-2242	5	26	,	,	PUNCT
fcis-2242	5	27	such	such	ADJ
fcis-2242	5	28	methods	method	NOUN
fcis-2242	5	29	have	have	VERB
fcis-2242	5	30	bottlenecks	bottleneck	NOUN
fcis-2242	5	31	and	and	CCONJ
fcis-2242	5	32	are	be	AUX
fcis-2242	5	33	difficult	difficult	ADJ
fcis-2242	5	34	to	to	PART
fcis-2242	5	35	break	break	VERB
fcis-2242	5	36	through	through	ADP
fcis-2242	5	37	their	their	PRON
fcis-2242	5	38	limits	limit	NOUN
fcis-2242	5	39	.	.	PUNCT
fcis-2242	6	1	with	with	ADP
fcis-2242	6	2	the	the	DET
fcis-2242	6	3	development	development	NOUN
fcis-2242	6	4	of	of	ADP
fcis-2242	6	5	deep	deep	ADJ
fcis-2242	6	6	learning	learning	NOUN
fcis-2242	6	7	and	and	CCONJ
fcis-2242	6	8	the	the	DET
fcis-2242	6	9	birth	birth	NOUN
fcis-2242	6	10	of	of	ADP
fcis-2242	6	11	large	large	ADJ
fcis-2242	6	12	-	-	PUNCT
fcis-2242	6	13	scale	scale	NOUN
fcis-2242	6	14	data	data	NOUN
fcis-2242	6	15	sets	set	NOUN
fcis-2242	6	16	,	,	PUNCT
fcis-2242	6	17	low	low	ADJ
fcis-2242	6	18	-	-	PUNCT
fcis-2242	6	19	light	light	NOUN
fcis-2242	6	20	image	image	NOUN
fcis-2242	6	21	enhancement	enhancement	NOUN
fcis-2242	6	22	based	base	VERB
fcis-2242	6	23	on	on	ADP
fcis-2242	6	24	deep	deep	ADJ
fcis-2242	6	25	learning	learning	NOUN
fcis-2242	6	26	has	have	AUX
fcis-2242	6	27	become	become	VERB
fcis-2242	6	28	the	the	DET
fcis-2242	6	29	mainstream	mainstream	NOUN
fcis-2242	6	30	trend	trend	NOUN
fcis-2242	6	31	.	.	PUNCT
fcis-2242	7	1	in	in	ADP
fcis-2242	7	2	this	this	DET
fcis-2242	7	3	paper	paper	NOUN
fcis-2242	7	4	,	,	PUNCT
fcis-2242	7	5	first	first	ADV
fcis-2242	7	6	of	of	ADP
fcis-2242	7	7	all	all	PRON
fcis-2242	7	8	,	,	PUNCT
fcis-2242	7	9	the	the	DET
fcis-2242	7	10	traditional	traditional	ADJ
fcis-2242	7	11	low	low	ADJ
fcis-2242	7	12	-	-	PUNCT
fcis-2242	7	13	light	light	NOUN
fcis-2242	7	14	image	image	NOUN
fcis-2242	7	15	enhancement	enhancement	NOUN
fcis-2242	7	16	algorithms	algorithm	NOUN
fcis-2242	7	17	are	be	AUX
fcis-2242	7	18	classified	classify	VERB
fcis-2242	7	19	,	,	PUNCT
fcis-2242	7	20	summarized	summarize	VERB
fcis-2242	7	21	the	the	DET
fcis-2242	7	22	improvement	improvement	NOUN
fcis-2242	7	23	process	process	NOUN
fcis-2242	7	24	of	of	ADP
fcis-2242	7	25	the	the	DET
fcis-2242	7	26	traditional	traditional	ADJ
fcis-2242	7	27	method	method	NOUN
fcis-2242	7	28	,	,	PUNCT
fcis-2242	7	29	then	then	ADV
fcis-2242	7	30	the	the	DET
fcis-2242	7	31	image	image	NOUN
fcis-2242	7	32	enhancement	enhancement	NOUN
fcis-2242	7	33	method	method	NOUN
fcis-2242	7	34	based	base	VERB
fcis-2242	7	35	on	on	ADP
fcis-2242	7	36	the	the	DET
fcis-2242	7	37	deep	deep	ADJ
fcis-2242	7	38	learning	learning	NOUN
fcis-2242	7	39	are	be	AUX
fcis-2242	7	40	introduced	introduce	VERB
fcis-2242	7	41	,	,	PUNCT
fcis-2242	7	42	at	at	ADP
fcis-2242	7	43	the	the	DET
fcis-2242	7	44	same	same	ADJ
fcis-2242	7	45	time	time	NOUN
fcis-2242	7	46	on	on	ADP
fcis-2242	7	47	the	the	DET
fcis-2242	7	48	network	network	NOUN
fcis-2242	7	49	structure	structure	NOUN
fcis-2242	7	50	and	and	CCONJ
fcis-2242	7	51	is	be	AUX
fcis-2242	7	52	suitable	suitable	ADJ
fcis-2242	7	53	for	for	ADP
fcis-2242	7	54	the	the	DET
fcis-2242	7	55	method	method	NOUN
fcis-2242	7	56	of	of	ADP
fcis-2242	7	57	combing	comb	VERB
fcis-2242	7	58	the	the	DET
fcis-2242	7	59	network	network	NOUN
fcis-2242	7	60	part	part	NOUN
fcis-2242	7	61	,	,	PUNCT
fcis-2242	7	62	after	after	ADP
fcis-2242	7	63	the	the	DET
fcis-2242	7	64	introduction	introduction	NOUN
fcis-2242	7	65	to	to	ADP
fcis-2242	7	66	the	the	DET
fcis-2242	7	67	experiment	experiment	NOUN
fcis-2242	7	68	database	database	NOUN
fcis-2242	7	69	and	and	CCONJ
fcis-2242	7	70	enhance	enhance	VERB
fcis-2242	7	71	image	image	NOUN
fcis-2242	7	72	evaluation	evaluation	NOUN
fcis-2242	7	73	criteria	criterion	NOUN
fcis-2242	7	74	.	.	PUNCT
fcis-2242	8	1	based	base	VERB
fcis-2242	8	2	on	on	ADP
fcis-2242	8	3	the	the	DET
fcis-2242	8	4	discussion	discussion	NOUN
fcis-2242	8	5	of	of	ADP
fcis-2242	8	6	the	the	DET
fcis-2242	8	7	above	above	ADJ
fcis-2242	8	8	situation	situation	NOUN
fcis-2242	8	9	,	,	PUNCT
fcis-2242	8	10	combined	combine	VERB
fcis-2242	8	11	with	with	ADP
fcis-2242	8	12	the	the	DET
fcis-2242	8	13	actual	actual	ADJ
fcis-2242	8	14	situation	situation	NOUN
fcis-2242	8	15	,	,	PUNCT
fcis-2242	8	16	this	this	DET
fcis-2242	8	17	paper	paper	NOUN
fcis-2242	8	18	points	point	VERB
fcis-2242	8	19	out	out	ADP
fcis-2242	8	20	the	the	DET
fcis-2242	8	21	limitations	limitation	NOUN
fcis-2242	8	22	of	of	ADP
fcis-2242	8	23	the	the	DET
fcis-2242	8	24	current	current	ADJ
fcis-2242	8	25	technology	technology	NOUN
fcis-2242	8	26	,	,	PUNCT
fcis-2242	8	27	and	and	CCONJ
fcis-2242	8	28	predicts	predict	VERB
fcis-2242	8	29	its	its	PRON
fcis-2242	8	30	development	development	NOUN
fcis-2242	8	31	trend	trend	NOUN
fcis-2242	8	32	.	.	PUNCT
fcis-2242	9	1	keywords	keyword	NOUN
fcis-2242	9	2	:	:	PUNCT
fcis-2242	9	3	image	image	NOUN
fcis-2242	9	4	enhancement	enhancement	NOUN
fcis-2242	9	5	;	;	PUNCT
fcis-2242	9	6	low	low	ADJ
fcis-2242	9	7	-	-	PUNCT
fcis-2242	9	8	light	light	NOUN
fcis-2242	9	9	image	image	NOUN
fcis-2242	9	10	dataset	dataset	NOUN
fcis-2242	9	11	;	;	PUNCT
fcis-2242	9	12	deep	deep	ADJ
fcis-2242	9	13	learning	learning	NOUN
fcis-2242	9	14	;	;	PUNCT
fcis-2242	9	15	generative	generative	ADJ
fcis-2242	9	16	adversarial	adversarial	ADJ
fcis-2242	9	17	networks	network	NOUN
fcis-2242	9	18	.	.	PUNCT
fcis-2242	10	1	1	1	X
fcis-2242	10	2	.	.	X
fcis-2242	10	3	introduction	introduction	NOUN
fcis-2242	10	4	due	due	ADP
fcis-2242	10	5	to	to	ADP
fcis-2242	10	6	the	the	DET
fcis-2242	10	7	particularity	particularity	NOUN
fcis-2242	10	8	of	of	ADP
fcis-2242	10	9	insufficient	insufficient	ADJ
fcis-2242	10	10	brightness	brightness	NOUN
fcis-2242	10	11	and	and	CCONJ
fcis-2242	10	12	uneven	uneven	ADJ
fcis-2242	10	13	distribution	distribution	NOUN
fcis-2242	10	14	of	of	ADP
fcis-2242	10	15	night	night	NOUN
fcis-2242	10	16	lighting	lighting	NOUN
fcis-2242	10	17	sources	source	NOUN
fcis-2242	10	18	,	,	PUNCT
fcis-2242	10	19	the	the	DET
fcis-2242	10	20	brightness	brightness	NOUN
fcis-2242	10	21	value	value	NOUN
fcis-2242	10	22	of	of	ADP
fcis-2242	10	23	images	image	NOUN
fcis-2242	10	24	collected	collect	VERB
fcis-2242	10	25	at	at	ADP
fcis-2242	10	26	night	night	NOUN
fcis-2242	10	27	is	be	AUX
fcis-2242	10	28	extremely	extremely	ADV
fcis-2242	10	29	low	low	ADJ
fcis-2242	10	30	,	,	PUNCT
fcis-2242	10	31	and	and	CCONJ
fcis-2242	10	32	the	the	DET
fcis-2242	10	33	visibility	visibility	NOUN
fcis-2242	10	34	and	and	CCONJ
fcis-2242	10	35	contrast	contrast	NOUN
fcis-2242	10	36	are	be	AUX
fcis-2242	10	37	severely	severely	ADV
fcis-2242	10	38	reduced	reduce	VERB
fcis-2242	10	39	,	,	PUNCT
fcis-2242	10	40	accompanied	accompany	VERB
fcis-2242	10	41	by	by	ADP
fcis-2242	10	42	a	a	DET
fcis-2242	10	43	large	large	ADJ
fcis-2242	10	44	amount	amount	NOUN
fcis-2242	10	45	of	of	ADP
fcis-2242	10	46	random	random	ADJ
fcis-2242	10	47	noise	noise	NOUN
fcis-2242	10	48	.	.	PUNCT
fcis-2242	11	1	in	in	ADP
fcis-2242	11	2	real	real	ADJ
fcis-2242	11	3	life	life	NOUN
fcis-2242	11	4	,	,	PUNCT
fcis-2242	11	5	it	it	PRON
fcis-2242	11	6	is	be	AUX
fcis-2242	11	7	sometimes	sometimes	ADV
fcis-2242	11	8	impossible	impossible	ADJ
fcis-2242	11	9	to	to	PART
fcis-2242	11	10	avoid	avoid	VERB
fcis-2242	11	11	capturing	capture	VERB
fcis-2242	11	12	images	image	NOUN
fcis-2242	11	13	at	at	ADP
fcis-2242	11	14	night	night	NOUN
fcis-2242	11	15	,	,	PUNCT
fcis-2242	11	16	especially	especially	ADV
fcis-2242	11	17	in	in	ADP
fcis-2242	11	18	important	important	ADJ
fcis-2242	11	19	and	and	CCONJ
fcis-2242	11	20	widely	widely	ADV
fcis-2242	11	21	needed	need	VERB
fcis-2242	11	22	applications	application	NOUN
fcis-2242	11	23	such	such	ADJ
fcis-2242	11	24	as	as	ADP
fcis-2242	11	25	surveillance	surveillance	NOUN
fcis-2242	11	26	forensics	forensic	NOUN
fcis-2242	11	27	,	,	PUNCT
fcis-2242	11	28	night	night	NOUN
fcis-2242	11	29	vision	vision	NOUN
fcis-2242	11	30	equipment	equipment	NOUN
fcis-2242	11	31	,	,	PUNCT
fcis-2242	11	32	face	face	NOUN
fcis-2242	11	33	recognition	recognition	NOUN
fcis-2242	11	34	and	and	CCONJ
fcis-2242	11	35	fault	fault	VERB
fcis-2242	11	36	detection	detection	NOUN
fcis-2242	11	37	.	.	PUNCT
fcis-2242	12	1	low	low	ADJ
fcis-2242	12	2	-	-	PUNCT
fcis-2242	12	3	light	light	NOUN
fcis-2242	12	4	image	image	NOUN
fcis-2242	12	5	enhancement	enhancement	NOUN
fcis-2242	12	6	methods	method	NOUN
fcis-2242	12	7	aim	aim	VERB
fcis-2242	12	8	to	to	PART
fcis-2242	12	9	improve	improve	VERB
fcis-2242	12	10	the	the	DET
fcis-2242	12	11	brightness	brightness	NOUN
fcis-2242	12	12	and	and	CCONJ
fcis-2242	12	13	contrast	contrast	NOUN
fcis-2242	12	14	of	of	ADP
fcis-2242	12	15	low	low	ADJ
fcis-2242	12	16	-	-	PUNCT
fcis-2242	12	17	light	light	NOUN
fcis-2242	12	18	images	image	NOUN
fcis-2242	12	19	,	,	PUNCT
fcis-2242	12	20	while	while	SCONJ
fcis-2242	12	21	avoiding	avoid	VERB
fcis-2242	12	22	excessive	excessive	ADJ
fcis-2242	12	23	enhancement	enhancement	NOUN
fcis-2242	12	24	and	and	CCONJ
fcis-2242	12	25	noise	noise	NOUN
fcis-2242	12	26	methods	method	NOUN
fcis-2242	12	27	,	,	PUNCT
fcis-2242	12	28	etc	etc	X
fcis-2242	12	29	.	.	X
fcis-2242	12	30	,	,	PUNCT
fcis-2242	12	31	to	to	PART
fcis-2242	12	32	improve	improve	VERB
fcis-2242	12	33	the	the	DET
fcis-2242	12	34	visual	visual	ADJ
fcis-2242	12	35	effect	effect	NOUN
fcis-2242	12	36	and	and	CCONJ
fcis-2242	12	37	meet	meet	VERB
fcis-2242	12	38	the	the	DET
fcis-2242	12	39	image	image	NOUN
fcis-2242	12	40	information	information	NOUN
fcis-2242	12	41	richness	richness	NOUN
fcis-2242	12	42	required	require	VERB
fcis-2242	12	43	by	by	ADP
fcis-2242	12	44	subsequent	subsequent	ADJ
fcis-2242	12	45	computer	computer	NOUN
fcis-2242	12	46	vision	vision	NOUN
fcis-2242	12	47	algorithms	algorithm	NOUN
fcis-2242	12	48	.	.	PUNCT
fcis-2242	13	1	at	at	ADP
fcis-2242	13	2	present	present	ADJ
fcis-2242	13	3	,	,	PUNCT
fcis-2242	13	4	the	the	DET
fcis-2242	13	5	research	research	NOUN
fcis-2242	13	6	on	on	ADP
fcis-2242	13	7	low	low	ADJ
fcis-2242	13	8	-	-	PUNCT
fcis-2242	13	9	light	light	NOUN
fcis-2242	13	10	image	image	NOUN
fcis-2242	13	11	enhancement	enhancement	NOUN
fcis-2242	13	12	algorithm	algorithm	NOUN
fcis-2242	13	13	has	have	AUX
fcis-2242	13	14	achieved	achieve	VERB
fcis-2242	13	15	good	good	ADJ
fcis-2242	13	16	results	result	NOUN
fcis-2242	13	17	in	in	ADP
fcis-2242	13	18	the	the	DET
fcis-2242	13	19	continuous	continuous	ADJ
fcis-2242	13	20	exploration	exploration	NOUN
fcis-2242	13	21	and	and	CCONJ
fcis-2242	13	22	progress	progress	NOUN
fcis-2242	13	23	,	,	PUNCT
fcis-2242	13	24	and	and	CCONJ
fcis-2242	13	25	the	the	DET
fcis-2242	13	26	enhanced	enhance	VERB
fcis-2242	13	27	image	image	NOUN
fcis-2242	13	28	has	have	VERB
fcis-2242	13	29	excellent	excellent	ADJ
fcis-2242	13	30	performance	performance	NOUN
fcis-2242	13	31	in	in	ADP
fcis-2242	13	32	both	both	PRON
fcis-2242	13	33	subjective	subjective	ADJ
fcis-2242	13	34	visual	visual	ADJ
fcis-2242	13	35	experience	experience	NOUN
fcis-2242	13	36	and	and	CCONJ
fcis-2242	13	37	objective	objective	ADJ
fcis-2242	13	38	image	image	NOUN
fcis-2242	13	39	quality	quality	NOUN
fcis-2242	13	40	evaluation	evaluation	NOUN
fcis-2242	13	41	.	.	PUNCT
fcis-2242	14	1	however	however	ADV
fcis-2242	14	2	,	,	PUNCT
fcis-2242	14	3	there	there	PRON
fcis-2242	14	4	are	be	VERB
fcis-2242	14	5	still	still	ADV
fcis-2242	14	6	some	some	DET
fcis-2242	14	7	thorny	thorny	ADJ
fcis-2242	14	8	problems	problem	NOUN
fcis-2242	14	9	to	to	PART
fcis-2242	14	10	be	be	AUX
fcis-2242	14	11	solved	solve	VERB
fcis-2242	14	12	,	,	PUNCT
fcis-2242	14	13	such	such	ADJ
fcis-2242	14	14	as	as	ADP
fcis-2242	14	15	noise	noise	NOUN
fcis-2242	14	16	amplification	amplification	NOUN
fcis-2242	14	17	and	and	CCONJ
fcis-2242	14	18	more	more	ADV
fcis-2242	14	19	serious	serious	ADJ
fcis-2242	14	20	color	color	NOUN
fcis-2242	14	21	deviation	deviation	NOUN
fcis-2242	14	22	in	in	ADP
fcis-2242	14	23	low	low	ADJ
fcis-2242	14	24	-	-	PUNCT
fcis-2242	14	25	light	light	ADJ
fcis-2242	14	26	image	image	NOUN
fcis-2242	14	27	enhancement	enhancement	NOUN
fcis-2242	14	28	.	.	PUNCT
fcis-2242	15	1	2	2	X
fcis-2242	15	2	.	.	X
fcis-2242	15	3	traditional	traditional	ADJ
fcis-2242	15	4	low	low	ADJ
fcis-2242	15	5	-	-	PUNCT
fcis-2242	15	6	light	light	NOUN
fcis-2242	15	7	image	image	NOUN
fcis-2242	15	8	enhancement	enhancement	NOUN
fcis-2242	15	9	method	method	NOUN
fcis-2242	15	10	2.1	2.1	NUM
fcis-2242	15	11	.	.	PUNCT
fcis-2242	16	1	algorithm	algorithm	NOUN
fcis-2242	16	2	based	base	VERB
fcis-2242	16	3	on	on	ADP
fcis-2242	16	4	hue	hue	ADJ
fcis-2242	16	5	mapping	mapping	NOUN
fcis-2242	16	6	tonal	tonal	ADJ
fcis-2242	16	7	mapping	mapping	NOUN
fcis-2242	16	8	is	be	AUX
fcis-2242	16	9	to	to	PART
fcis-2242	16	10	map	map	VERB
fcis-2242	16	11	the	the	DET
fcis-2242	16	12	pixel	pixel	PROPN
fcis-2242	16	13	value	value	NOUN
fcis-2242	16	14	at	at	ADP
fcis-2242	16	15	the	the	DET
fcis-2242	16	16	same	same	ADJ
fcis-2242	16	17	position	position	NOUN
fcis-2242	16	18	of	of	ADP
fcis-2242	16	19	the	the	DET
fcis-2242	16	20	image	image	NOUN
fcis-2242	16	21	to	to	ADP
fcis-2242	16	22	another	another	DET
fcis-2242	16	23	pixel	pixel	NOUN
fcis-2242	16	24	value	value	NOUN
fcis-2242	16	25	close	close	ADV
fcis-2242	16	26	to	to	ADP
fcis-2242	16	27	normal	normal	ADJ
fcis-2242	16	28	illumination	illumination	NOUN
fcis-2242	16	29	through	through	ADP
fcis-2242	16	30	the	the	DET
fcis-2242	16	31	mapping	mapping	NOUN
fcis-2242	16	32	function	function	NOUN
fcis-2242	16	33	,	,	PUNCT
fcis-2242	16	34	so	so	SCONJ
fcis-2242	16	35	that	that	SCONJ
fcis-2242	16	36	the	the	DET
fcis-2242	16	37	difference	difference	NOUN
fcis-2242	16	38	between	between	ADP
fcis-2242	16	39	it	it	PRON
fcis-2242	16	40	and	and	CCONJ
fcis-2242	16	41	the	the	DET
fcis-2242	16	42	surrounding	surround	VERB
fcis-2242	16	43	pixels	pixel	NOUN
fcis-2242	16	44	is	be	AUX
fcis-2242	16	45	more	more	ADV
fcis-2242	16	46	obvious	obvious	ADJ
fcis-2242	16	47	,	,	PUNCT
fcis-2242	16	48	so	so	SCONJ
fcis-2242	16	49	as	as	SCONJ
fcis-2242	16	50	to	to	PART
fcis-2242	16	51	improve	improve	VERB
fcis-2242	16	52	the	the	DET
fcis-2242	16	53	image	image	NOUN
fcis-2242	16	54	quality	quality	NOUN
fcis-2242	16	55	.	.	PUNCT
fcis-2242	17	1	bennett	bennett	PROPN
fcis-2242	17	2	et	et	PROPN
fcis-2242	17	3	al	al	PROPN
fcis-2242	17	4	.	.	PROPN
fcis-2242	17	5	obtained	obtain	VERB
fcis-2242	17	6	the	the	DET
fcis-2242	17	7	large	large	ADJ
fcis-2242	17	8	-	-	PUNCT
fcis-2242	17	9	scale	scale	NOUN
fcis-2242	17	10	features	feature	NOUN
fcis-2242	17	11	of	of	ADP
fcis-2242	17	12	the	the	DET
fcis-2242	17	13	image	image	NOUN
fcis-2242	17	14	through	through	ADP
fcis-2242	17	15	bilateral	bilateral	ADJ
fcis-2242	17	16	filtering	filtering	NOUN
fcis-2242	17	17	,	,	PUNCT
fcis-2242	17	18	and	and	CCONJ
fcis-2242	17	19	completed	complete	VERB
fcis-2242	17	20	the	the	DET
fcis-2242	17	21	image	image	NOUN
fcis-2242	17	22	enhancement	enhancement	NOUN
fcis-2242	17	23	by	by	ADP
fcis-2242	17	24	linear	linear	ADJ
fcis-2242	17	25	sum	sum	NOUN
fcis-2242	17	26	of	of	ADP
fcis-2242	17	27	the	the	DET
fcis-2242	17	28	enhanced	enhance	VERB
fcis-2242	17	29	details	detail	NOUN
fcis-2242	17	30	and	and	CCONJ
fcis-2242	17	31	large	large	ADJ
fcis-2242	17	32	-	-	PUNCT
fcis-2242	17	33	scale	scale	NOUN
fcis-2242	17	34	features	feature	NOUN
fcis-2242	17	35	.	.	PUNCT
fcis-2242	18	1	xu	xu	INTJ
fcis-2242	18	2	et	et	PROPN
fcis-2242	19	1	al	al	PROPN
fcis-2242	19	2	.	.	PROPN
fcis-2242	19	3	used	use	VERB
fcis-2242	19	4	logarithmic	logarithmic	ADJ
fcis-2242	19	5	function	function	NOUN
fcis-2242	19	6	as	as	ADP
fcis-2242	19	7	mapping	mapping	NOUN
fcis-2242	19	8	function	function	NOUN
fcis-2242	19	9	,	,	PUNCT
fcis-2242	19	10	and	and	CCONJ
fcis-2242	19	11	set	set	VERB
fcis-2242	19	12	the	the	DET
fcis-2242	19	13	base	base	NOUN
fcis-2242	19	14	of	of	ADP
fcis-2242	19	15	logarithmic	logarithmic	ADJ
fcis-2242	19	16	function	function	NOUN
fcis-2242	19	17	according	accord	VERB
fcis-2242	19	18	to	to	ADP
fcis-2242	19	19	the	the	DET
fcis-2242	19	20	gray	gray	ADJ
fcis-2242	19	21	value	value	NOUN
fcis-2242	19	22	of	of	ADP
fcis-2242	19	23	pixels	pixel	NOUN
fcis-2242	19	24	.	.	PUNCT
fcis-2242	20	1	the	the	DET
fcis-2242	20	2	nonlinear	nonlinear	ADJ
fcis-2242	20	3	tonal	tonal	ADJ
fcis-2242	20	4	mapping	mapping	NOUN
fcis-2242	20	5	method	method	NOUN
fcis-2242	20	6	can	can	AUX
fcis-2242	20	7	well	well	ADV
fcis-2242	20	8	expand	expand	VERB
fcis-2242	20	9	the	the	DET
fcis-2242	20	10	dynamic	dynamic	ADJ
fcis-2242	20	11	range	range	NOUN
fcis-2242	20	12	of	of	ADP
fcis-2242	20	13	the	the	DET
fcis-2242	20	14	dark	dark	ADJ
fcis-2242	20	15	area	area	NOUN
fcis-2242	20	16	of	of	ADP
fcis-2242	20	17	low	low	ADJ
fcis-2242	20	18	-	-	PUNCT
fcis-2242	20	19	light	light	NOUN
fcis-2242	20	20	image	image	NOUN
fcis-2242	20	21	and	and	CCONJ
fcis-2242	20	22	keep	keep	VERB
fcis-2242	20	23	other	other	ADJ
fcis-2242	20	24	areas	area	NOUN
fcis-2242	20	25	unchanged	unchanged	ADJ
fcis-2242	20	26	,	,	PUNCT
fcis-2242	20	27	so	so	CCONJ
fcis-2242	20	28	the	the	DET
fcis-2242	20	29	processing	processing	NOUN
fcis-2242	20	30	effect	effect	NOUN
fcis-2242	20	31	is	be	AUX
fcis-2242	20	32	better	well	ADJ
fcis-2242	20	33	.	.	PUNCT
fcis-2242	21	1	2.2	2.2	NUM
fcis-2242	21	2	.	.	PUNCT
fcis-2242	21	3	algorithm	algorithm	PROPN
fcis-2242	21	4	based	base	VERB
fcis-2242	21	5	on	on	ADP
fcis-2242	21	6	histogram	histogram	NOUN
fcis-2242	21	7	equalization	equalization	NOUN
fcis-2242	21	8	based	base	VERB
fcis-2242	21	9	on	on	ADP
fcis-2242	21	10	the	the	DET
fcis-2242	21	11	histogram	histogram	NOUN
fcis-2242	21	12	equalization	equalization	NOUN
fcis-2242	21	13	(	(	PUNCT
fcis-2242	21	14	he	he	PRON
fcis-2242	21	15	)	)	PUNCT
fcis-2242	21	16	method	method	NOUN
fcis-2242	21	17	,	,	PUNCT
fcis-2242	21	18	it	it	PRON
fcis-2242	21	19	redistributes	redistribute	VERB
fcis-2242	21	20	the	the	DET
fcis-2242	21	21	histogram	histogram	NOUN
fcis-2242	21	22	of	of	ADP
fcis-2242	21	23	low	low	ADJ
fcis-2242	21	24	-	-	PUNCT
fcis-2242	21	25	light	light	NOUN
fcis-2242	21	26	image	image	NOUN
fcis-2242	21	27	,	,	PUNCT
fcis-2242	21	28	changes	change	VERB
fcis-2242	21	29	the	the	DET
fcis-2242	21	30	dynamic	dynamic	ADJ
fcis-2242	21	31	range	range	NOUN
fcis-2242	21	32	of	of	ADP
fcis-2242	21	33	the	the	DET
fcis-2242	21	34	gray	gray	ADJ
fcis-2242	21	35	value	value	NOUN
fcis-2242	21	36	of	of	ADP
fcis-2242	21	37	the	the	DET
fcis-2242	21	38	image	image	NOUN
fcis-2242	21	39	,	,	PUNCT
fcis-2242	21	40	reduces	reduce	VERB
fcis-2242	21	41	the	the	DET
fcis-2242	21	42	number	number	NOUN
fcis-2242	21	43	of	of	ADP
fcis-2242	21	44	pixels	pixel	NOUN
fcis-2242	21	45	in	in	ADP
fcis-2242	21	46	the	the	DET
fcis-2242	21	47	gray	gray	ADJ
fcis-2242	21	48	area	area	NOUN
fcis-2242	21	49	,	,	PUNCT
fcis-2242	21	50	widens	widen	VERB
fcis-2242	21	51	the	the	DET
fcis-2242	21	52	histogram	histogram	NOUN
fcis-2242	21	53	distribution	distribution	NOUN
fcis-2242	21	54	of	of	ADP
fcis-2242	21	55	the	the	DET
fcis-2242	21	56	enhanced	enhanced	ADJ
fcis-2242	21	57	image	image	NOUN
fcis-2242	21	58	,	,	PUNCT
fcis-2242	21	59	and	and	CCONJ
fcis-2242	21	60	achieves	achieve	VERB
fcis-2242	21	61	the	the	DET
fcis-2242	21	62	effect	effect	NOUN
fcis-2242	21	63	of	of	ADP
fcis-2242	21	64	enhancing	enhance	VERB
fcis-2242	21	65	image	image	NOUN
fcis-2242	21	66	brightness	brightness	NOUN
fcis-2242	21	67	and	and	CCONJ
fcis-2242	21	68	contrast	contrast	NOUN
fcis-2242	21	69	.	.	PUNCT
fcis-2242	22	1	however	however	ADV
fcis-2242	22	2	,	,	PUNCT
fcis-2242	22	3	the	the	DET
fcis-2242	22	4	enhanced	enhanced	ADJ
fcis-2242	22	5	image	image	NOUN
fcis-2242	22	6	pixels	pixel	NOUN
fcis-2242	22	7	are	be	AUX
fcis-2242	22	8	mainly	mainly	ADV
fcis-2242	22	9	distributed	distribute	VERB
fcis-2242	22	10	in	in	ADP
fcis-2242	22	11	the	the	DET
fcis-2242	22	12	middle	middle	ADJ
fcis-2242	22	13	and	and	CCONJ
fcis-2242	22	14	low	low	ADJ
fcis-2242	22	15	regions	region	NOUN
fcis-2242	22	16	,	,	PUNCT
fcis-2242	22	17	and	and	CCONJ
fcis-2242	22	18	the	the	DET
fcis-2242	22	19	enhanced	enhance	VERB
fcis-2242	22	20	pixels	pixel	NOUN
fcis-2242	22	21	of	of	ADP
fcis-2242	22	22	the	the	DET
fcis-2242	22	23	same	same	ADJ
fcis-2242	22	24	information	information	NOUN
fcis-2242	22	25	can	can	AUX
fcis-2242	22	26	not	not	PART
fcis-2242	22	27	produce	produce	VERB
fcis-2242	22	28	different	different	ADJ
fcis-2242	22	29	pixels	pixel	NOUN
fcis-2242	22	30	.	.	PUNCT
fcis-2242	23	1	adaptive	adaptive	ADJ
fcis-2242	23	2	histogram	histogram	NOUN
fcis-2242	23	3	equalization	equalization	NOUN
fcis-2242	23	4	(	(	PUNCT
fcis-2242	23	5	ahe	ahe	NOUN
fcis-2242	23	6	)	)	PUNCT
fcis-2242	23	7	adjusts	adjust	VERB
fcis-2242	23	8	the	the	DET
fcis-2242	23	9	histogram	histogram	NOUN
fcis-2242	23	10	of	of	ADP
fcis-2242	23	11	multiple	multiple	ADJ
fcis-2242	23	12	regions	region	NOUN
fcis-2242	23	13	,	,	PUNCT
fcis-2242	23	14	but	but	CCONJ
fcis-2242	23	15	amplifies	amplify	VERB
fcis-2242	23	16	the	the	DET
fcis-2242	23	17	noise	noise	NOUN
fcis-2242	23	18	of	of	ADP
fcis-2242	23	19	the	the	DET
fcis-2242	23	20	image	image	NOUN
fcis-2242	23	21	.	.	PUNCT
fcis-2242	24	1	contrast	contrast	NOUN
fcis-2242	24	2	limited	limited	ADJ
fcis-2242	24	3	adaptive	adaptive	ADJ
fcis-2242	24	4	histogram	histogram	NOUN
fcis-2242	24	5	equalization	equalization	NOUN
fcis-2242	24	6	(	(	PUNCT
fcis-2242	24	7	clahe	clahe	PROPN
fcis-2242	24	8	)	)	PUNCT
fcis-2242	24	9	overcomes	overcome	VERB
fcis-2242	24	10	the	the	DET
fcis-2242	24	11	problem	problem	NOUN
fcis-2242	24	12	of	of	ADP
fcis-2242	24	13	noise	noise	NOUN
fcis-2242	24	14	amplification	amplification	NOUN
fcis-2242	24	15	by	by	ADP
fcis-2242	24	16	contrast	contrast	NOUN
fcis-2242	24	17	limiting	limit	VERB
fcis-2242	24	18	.	.	PUNCT
fcis-2242	25	1	although	although	SCONJ
fcis-2242	25	2	the	the	DET
fcis-2242	25	3	image	image	NOUN
fcis-2242	25	4	enhancement	enhancement	NOUN
fcis-2242	25	5	algorithms	algorithm	NOUN
fcis-2242	25	6	based	base	VERB
fcis-2242	25	7	on	on	ADP
fcis-2242	25	8	histogram	histogram	NOUN
fcis-2242	25	9	equalization	equalization	NOUN
fcis-2242	25	10	are	be	AUX
fcis-2242	25	11	constantly	constantly	ADV
fcis-2242	25	12	improved	improve	VERB
fcis-2242	25	13	by	by	ADP
fcis-2242	25	14	researchers	researcher	NOUN
fcis-2242	25	15	,	,	PUNCT
fcis-2242	25	16	most	most	ADJ
fcis-2242	25	17	methods	method	NOUN
fcis-2242	25	18	are	be	AUX
fcis-2242	25	19	still	still	ADV
fcis-2242	25	20	not	not	PART
fcis-2242	25	21	flexible	flexible	ADJ
fcis-2242	25	22	enough	enough	ADV
fcis-2242	25	23	to	to	PART
fcis-2242	25	24	enhance	enhance	VERB
fcis-2242	25	25	local	local	ADJ
fcis-2242	25	26	areas	area	NOUN
fcis-2242	25	27	,	,	PUNCT
fcis-2242	25	28	and	and	CCONJ
fcis-2242	25	29	there	there	PRON
fcis-2242	25	30	are	be	VERB
fcis-2242	25	31	problems	problem	NOUN
fcis-2242	25	32	such	such	ADJ
fcis-2242	25	33	as	as	ADP
fcis-2242	25	34	overexposure	overexposure	NOUN
fcis-2242	25	35	and	and	CCONJ
fcis-2242	25	36	noise	noise	NOUN
fcis-2242	25	37	amplification	amplification	NOUN
fcis-2242	25	38	.	.	PUNCT
fcis-2242	26	1	2.3	2.3	NUM
fcis-2242	26	2	.	.	PUNCT
fcis-2242	26	3	low	low	ADJ
fcis-2242	26	4	-	-	PUNCT
fcis-2242	26	5	light	light	NOUN
fcis-2242	26	6	image	image	NOUN
fcis-2242	26	7	enhancement	enhancement	NOUN
fcis-2242	26	8	method	method	NOUN
fcis-2242	26	9	based	base	VERB
fcis-2242	26	10	on	on	ADP
fcis-2242	26	11	retinex	retinex	ADJ
fcis-2242	26	12	retinex	retinex	ADJ
fcis-2242	26	13	theory	theory	NOUN
fcis-2242	26	14	explains	explain	VERB
fcis-2242	26	15	the	the	DET
fcis-2242	26	16	basic	basic	ADJ
fcis-2242	26	17	principle	principle	NOUN
fcis-2242	26	18	that	that	SCONJ
fcis-2242	26	19	human	human	ADJ
fcis-2242	26	20	eyes	eye	NOUN
fcis-2242	26	21	have	have	AUX
fcis-2242	26	22	the	the	DET
fcis-2242	26	23	ability	ability	NOUN
fcis-2242	26	24	to	to	PART
fcis-2242	26	25	observe	observe	VERB
fcis-2242	26	26	the	the	DET
fcis-2242	26	27	color	color	NOUN
fcis-2242	26	28	of	of	ADP
fcis-2242	26	29	the	the	DET
fcis-2242	26	30	target	target	NOUN
fcis-2242	26	31	object	object	NOUN
fcis-2242	26	32	.	.	PUNCT
fcis-2242	27	1	it	it	PRON
fcis-2242	27	2	assumes	assume	VERB
fcis-2242	27	3	that	that	SCONJ
fcis-2242	27	4	the	the	DET
fcis-2242	27	5	image	image	NOUN
fcis-2242	27	6	is	be	AUX
fcis-2242	27	7	composed	compose	VERB
fcis-2242	27	8	of	of	ADP
fcis-2242	27	9	an	an	DET
fcis-2242	27	10	irradiation	irradiation	NOUN
fcis-2242	27	11	map	map	NOUN
fcis-2242	27	12	and	and	CCONJ
fcis-2242	27	13	a	a	DET
fcis-2242	27	14	reflection	reflection	NOUN
fcis-2242	27	15	map	map	NOUN
fcis-2242	27	16	.	.	PUNCT
fcis-2242	28	1	𝑆(𝑥	𝑆(𝑥	X
fcis-2242	28	2	,	,	PUNCT
fcis-2242	28	3	𝑦	𝑦	NOUN
fcis-2242	28	4	)	)	PUNCT
fcis-2242	28	5	=	=	SYM
fcis-2242	28	6	𝐼(𝑥	𝐼(𝑥	PROPN
fcis-2242	28	7	,	,	PUNCT
fcis-2242	28	8	𝑦	𝑦	NOUN
fcis-2242	28	9	)	)	PUNCT
fcis-2242	28	10	⊙	⊙	NOUN
fcis-2242	28	11	𝑅(𝑥	𝑅(𝑥	PROPN
fcis-2242	28	12	,	,	PUNCT
fcis-2242	28	13	𝑦	𝑦	NOUN
fcis-2242	28	14	)	)	PUNCT
fcis-2242	28	15	(	(	PUNCT
fcis-2242	28	16	1	1	X
fcis-2242	28	17	)	)	PUNCT
fcis-2242	28	18	𝑆	𝑆	PROPN
fcis-2242	28	19	single	single	ADJ
fcis-2242	28	20	scale	scale	NOUN
fcis-2242	28	21	retinex	retinex	NOUN
fcis-2242	28	22	(	(	PUNCT
fcis-2242	28	23	ssr	ssr	PROPN
fcis-2242	28	24	)	)	PUNCT
fcis-2242	28	25	algorithm	algorithm	NOUN
fcis-2242	28	26	removes	remove	VERB
fcis-2242	28	27	the	the	DET
fcis-2242	28	28	lowfrequency	lowfrequency	NOUN
fcis-2242	28	29	irradiation	irradiation	NOUN
fcis-2242	28	30	part	part	NOUN
fcis-2242	28	31	of	of	ADP
fcis-2242	28	32	the	the	DET
fcis-2242	28	33	image	image	NOUN
fcis-2242	28	34	by	by	ADP
fcis-2242	28	35	central	central	ADJ
fcis-2242	28	36	surround	surround	NOUN
fcis-2242	28	37	function	function	NOUN
fcis-2242	28	38	,	,	PUNCT
fcis-2242	28	39	and	and	CCONJ
fcis-2242	28	40	takes	take	VERB
fcis-2242	28	41	the	the	DET
fcis-2242	28	42	reflection	reflection	NOUN
fcis-2242	28	43	image	image	NOUN
fcis-2242	28	44	as	as	ADP
fcis-2242	28	45	the	the	DET
fcis-2242	28	46	enhanced	enhanced	ADJ
fcis-2242	28	47	89	89	NUM
fcis-2242	28	48	image	image	NOUN
fcis-2242	28	49	.	.	PUNCT
fcis-2242	29	1	multi	multi	ADJ
fcis-2242	29	2	-	-	ADJ
fcis-2242	29	3	scale	scale	ADJ
fcis-2242	29	4	retinex	retinex	NOUN
fcis-2242	29	5	(	(	PUNCT
fcis-2242	29	6	msr	msr	NOUN
fcis-2242	29	7	)	)	PUNCT
fcis-2242	29	8	algorithm	algorithm	NOUN
fcis-2242	29	9	is	be	AUX
fcis-2242	29	10	improved	improve	VERB
fcis-2242	29	11	on	on	ADP
fcis-2242	29	12	the	the	DET
fcis-2242	29	13	basis	basis	NOUN
fcis-2242	29	14	of	of	ADP
fcis-2242	29	15	single	single	ADJ
fcis-2242	29	16	-	-	PUNCT
fcis-2242	29	17	scale	scale	NOUN
fcis-2242	29	18	retinex	retinex	ADJ
fcis-2242	29	19	algorithm	algorithm	NOUN
fcis-2242	29	20	.	.	PUNCT
fcis-2242	30	1	it	it	PRON
fcis-2242	30	2	can	can	AUX
fcis-2242	30	3	realize	realize	VERB
fcis-2242	30	4	color	color	NOUN
fcis-2242	30	5	enhancement	enhancement	NOUN
fcis-2242	30	6	,	,	PUNCT
fcis-2242	30	7	color	color	NOUN
fcis-2242	30	8	constancy	constancy	NOUN
fcis-2242	30	9	,	,	PUNCT
fcis-2242	30	10	local	local	ADJ
fcis-2242	30	11	dynamic	dynamic	ADJ
fcis-2242	30	12	range	range	NOUN
fcis-2242	30	13	compression	compression	NOUN
fcis-2242	30	14	and	and	CCONJ
fcis-2242	30	15	global	global	ADJ
fcis-2242	30	16	dynamic	dynamic	ADJ
fcis-2242	30	17	range	range	NOUN
fcis-2242	30	18	compression	compression	NOUN
fcis-2242	30	19	while	while	SCONJ
fcis-2242	30	20	maintaining	maintain	VERB
fcis-2242	30	21	the	the	DET
fcis-2242	30	22	high	high	ADJ
fcis-2242	30	23	fidelity	fidelity	NOUN
fcis-2242	30	24	of	of	ADP
fcis-2242	30	25	image	image	NOUN
fcis-2242	30	26	and	and	CCONJ
fcis-2242	30	27	compress	compress	VERB
fcis-2242	30	28	the	the	DET
fcis-2242	30	29	dynamic	dynamic	ADJ
fcis-2242	30	30	range	range	NOUN
fcis-2242	30	31	of	of	ADP
fcis-2242	30	32	image	image	NOUN
fcis-2242	30	33	.	.	PUNCT
fcis-2242	31	1	common	common	ADJ
fcis-2242	31	2	disadvantages	disadvantage	NOUN
fcis-2242	31	3	of	of	ADP
fcis-2242	31	4	msr	msr	NOUN
fcis-2242	31	5	include	include	VERB
fcis-2242	31	6	insufficient	insufficient	ADJ
fcis-2242	31	7	edge	edge	NOUN
fcis-2242	31	8	sharpening	sharpening	NOUN
fcis-2242	31	9	,	,	PUNCT
fcis-2242	31	10	abrupt	abrupt	ADJ
fcis-2242	31	11	shadow	shadow	NOUN
fcis-2242	31	12	boundaries	boundary	NOUN
fcis-2242	31	13	,	,	PUNCT
fcis-2242	31	14	partial	partial	ADJ
fcis-2242	31	15	color	color	NOUN
fcis-2242	31	16	distortion	distortion	NOUN
fcis-2242	31	17	,	,	PUNCT
fcis-2242	31	18	unclear	unclear	ADJ
fcis-2242	31	19	texture	texture	NOUN
fcis-2242	31	20	,	,	PUNCT
fcis-2242	31	21	no	no	DET
fcis-2242	31	22	significant	significant	ADJ
fcis-2242	31	23	improvement	improvement	NOUN
fcis-2242	31	24	in	in	ADP
fcis-2242	31	25	the	the	DET
fcis-2242	31	26	details	detail	NOUN
fcis-2242	31	27	of	of	ADP
fcis-2242	31	28	the	the	DET
fcis-2242	31	29	highlight	highlight	PROPN
fcis-2242	31	30	area	area	NOUN
fcis-2242	31	31	,	,	PUNCT
fcis-2242	31	32	and	and	CCONJ
fcis-2242	31	33	low	low	ADJ
fcis-2242	31	34	sensitivity	sensitivity	NOUN
fcis-2242	31	35	to	to	ADP
fcis-2242	31	36	the	the	DET
fcis-2242	31	37	highlight	highlight	PROPN
fcis-2242	31	38	area	area	NOUN
fcis-2242	31	39	.	.	PUNCT
fcis-2242	32	1	in	in	ADP
fcis-2242	32	2	addition	addition	NOUN
fcis-2242	32	3	,	,	PUNCT
fcis-2242	32	4	multiscale	multiscale	ADJ
fcis-2242	32	5	retinex	retinex	ADJ
fcis-2242	32	6	algorithm	algorithm	NOUN
fcis-2242	32	7	(	(	PUNCT
fcis-2242	32	8	msrcr	msrcr	ADV
fcis-2242	32	9	)	)	PUNCT
fcis-2242	32	10	with	with	ADP
fcis-2242	32	11	color	color	NOUN
fcis-2242	32	12	restoration	restoration	NOUN
fcis-2242	32	13	based	base	VERB
fcis-2242	32	14	on	on	ADP
fcis-2242	32	15	retinex	retinex	ADJ
fcis-2242	32	16	theory	theory	NOUN
fcis-2242	32	17	and	and	CCONJ
fcis-2242	32	18	lime	lime	NOUN
fcis-2242	32	19	algorithm	algorithm	NOUN
fcis-2242	32	20	can	can	AUX
fcis-2242	32	21	improve	improve	VERB
fcis-2242	32	22	the	the	DET
fcis-2242	32	23	brightness	brightness	NOUN
fcis-2242	32	24	and	and	CCONJ
fcis-2242	32	25	contrast	contrast	NOUN
fcis-2242	32	26	of	of	ADP
fcis-2242	32	27	image	image	NOUN
fcis-2242	32	28	to	to	ADP
fcis-2242	32	29	a	a	DET
fcis-2242	32	30	certain	certain	ADJ
fcis-2242	32	31	extent	extent	NOUN
fcis-2242	32	32	,	,	PUNCT
fcis-2242	32	33	but	but	CCONJ
fcis-2242	32	34	can	can	AUX
fcis-2242	32	35	not	not	PART
fcis-2242	32	36	suppress	suppress	VERB
fcis-2242	32	37	the	the	DET
fcis-2242	32	38	amplification	amplification	NOUN
fcis-2242	32	39	of	of	ADP
fcis-2242	32	40	image	image	NOUN
fcis-2242	32	41	noise	noise	NOUN
fcis-2242	32	42	during	during	ADP
fcis-2242	32	43	the	the	DET
fcis-2242	32	44	enhancement	enhancement	NOUN
fcis-2242	32	45	process	process	NOUN
fcis-2242	32	46	.	.	PUNCT
fcis-2242	33	1	2.4	2.4	NUM
fcis-2242	33	2	.	.	PUNCT
fcis-2242	33	3	low	low	ADJ
fcis-2242	33	4	-	-	PUNCT
fcis-2242	33	5	light	light	NOUN
fcis-2242	33	6	image	image	NOUN
fcis-2242	33	7	enhancement	enhancement	NOUN
fcis-2242	33	8	method	method	NOUN
fcis-2242	33	9	based	base	VERB
fcis-2242	33	10	on	on	ADP
fcis-2242	33	11	atmospheric	atmospheric	ADJ
fcis-2242	33	12	scattering	scattering	NOUN
fcis-2242	33	13	model	model	NOUN
fcis-2242	33	14	dong	dong	PROPN
fcis-2242	33	15	et	et	PROPN
fcis-2242	33	16	al	al	PROPN
fcis-2242	33	17	.	.	PROPN
fcis-2242	33	18	conducted	conduct	VERB
fcis-2242	33	19	a	a	DET
fcis-2242	33	20	large	large	ADJ
fcis-2242	33	21	number	number	NOUN
fcis-2242	33	22	of	of	ADP
fcis-2242	33	23	statistical	statistical	ADJ
fcis-2242	33	24	and	and	CCONJ
fcis-2242	33	25	experimental	experimental	ADJ
fcis-2242	33	26	verification	verification	NOUN
fcis-2242	33	27	on	on	ADP
fcis-2242	33	28	the	the	DET
fcis-2242	33	29	inversion	inversion	NOUN
fcis-2242	33	30	images	image	NOUN
fcis-2242	33	31	of	of	ADP
fcis-2242	33	32	foggy	foggy	ADJ
fcis-2242	33	33	images	image	NOUN
fcis-2242	33	34	and	and	CCONJ
fcis-2242	33	35	low	low	ADJ
fcis-2242	33	36	-	-	PUNCT
fcis-2242	33	37	light	light	NOUN
fcis-2242	33	38	images	image	NOUN
fcis-2242	33	39	,	,	PUNCT
fcis-2242	33	40	and	and	CCONJ
fcis-2242	33	41	found	find	VERB
fcis-2242	33	42	that	that	SCONJ
fcis-2242	33	43	fog	fog	NOUN
fcis-2242	33	44	images	image	NOUN
fcis-2242	33	45	and	and	CCONJ
fcis-2242	33	46	low	low	ADJ
fcis-2242	33	47	-	-	PUNCT
fcis-2242	33	48	light	light	NOUN
fcis-2242	33	49	inversion	inversion	NOUN
fcis-2242	33	50	images	image	NOUN
fcis-2242	33	51	were	be	AUX
fcis-2242	33	52	very	very	ADV
fcis-2242	33	53	similar	similar	ADJ
fcis-2242	33	54	in	in	ADP
fcis-2242	33	55	visual	visual	ADJ
fcis-2242	33	56	effect	effect	NOUN
fcis-2242	33	57	,	,	PUNCT
fcis-2242	33	58	and	and	CCONJ
fcis-2242	33	59	most	most	ADJ
fcis-2242	33	60	of	of	ADP
fcis-2242	33	61	the	the	DET
fcis-2242	33	62	pixels	pixel	NOUN
fcis-2242	33	63	in	in	ADP
fcis-2242	33	64	the	the	DET
fcis-2242	33	65	distant	distant	ADJ
fcis-2242	33	66	part	part	NOUN
fcis-2242	33	67	had	have	VERB
fcis-2242	33	68	high	high	ADJ
fcis-2242	33	69	rgb	rgb	PROPN
fcis-2242	33	70	values	value	NOUN
fcis-2242	33	71	.	.	PUNCT
fcis-2242	34	1	the	the	DET
fcis-2242	34	2	imaging	imaging	NOUN
fcis-2242	34	3	model	model	NOUN
fcis-2242	34	4	of	of	ADP
fcis-2242	34	5	foggy	foggy	ADJ
fcis-2242	34	6	images	image	NOUN
fcis-2242	34	7	is	be	AUX
fcis-2242	34	8	shown	show	VERB
fcis-2242	34	9	in	in	ADP
fcis-2242	34	10	formula	formula	NOUN
fcis-2242	34	11	2	2	NUM
fcis-2242	34	12	.	.	PUNCT
fcis-2242	35	1	𝐼(𝑥	𝐼(𝑥	X
fcis-2242	35	2	)	)	PUNCT
fcis-2242	35	3	=	=	SYM
fcis-2242	35	4	𝐽(𝑥)𝑡(𝑥	𝐽(𝑥)𝑡(𝑥	ADJ
fcis-2242	35	5	)	)	PUNCT
fcis-2242	36	1	+	+	CCONJ
fcis-2242	37	1	𝐴[1	𝐴[1	PROPN
fcis-2242	37	2	−	−	PROPN
fcis-2242	37	3	𝑡(𝑥	𝑡(𝑥	PROPN
fcis-2242	37	4	)	)	PUNCT
fcis-2242	37	5	]	]	PUNCT
fcis-2242	38	1	(	(	PUNCT
fcis-2242	38	2	2	2	X
fcis-2242	38	3	)	)	PUNCT
fcis-2242	38	4	in	in	ADP
fcis-2242	38	5	the	the	DET
fcis-2242	38	6	above	above	ADJ
fcis-2242	38	7	formula	formula	NOUN
fcis-2242	38	8	,	,	PUNCT
fcis-2242	38	9	x	x	X
fcis-2242	38	10	is	be	AUX
fcis-2242	38	11	the	the	DET
fcis-2242	38	12	pixel	pixel	NOUN
fcis-2242	38	13	of	of	ADP
fcis-2242	38	14	the	the	DET
fcis-2242	38	15	image	image	NOUN
fcis-2242	38	16	,	,	PUNCT
fcis-2242	38	17	and	and	CCONJ
fcis-2242	38	18	(	(	PUNCT
fcis-2242	38	19	)	)	PUNCT
fcis-2242	38	20	i	i	PRON
fcis-2242	38	21	x	x	VERB
fcis-2242	38	22	is	be	AUX
fcis-2242	38	23	the	the	DET
fcis-2242	38	24	fog	fog	NOUN
fcis-2242	38	25	map	map	NOUN
fcis-2242	38	26	collected	collect	VERB
fcis-2242	38	27	by	by	ADP
fcis-2242	38	28	the	the	DET
fcis-2242	38	29	camera	camera	NOUN
fcis-2242	38	30	equipment	equipment	NOUN
fcis-2242	38	31	;	;	PUNCT
fcis-2242	38	32	(	(	PUNCT
fcis-2242	38	33	)	)	PUNCT
fcis-2242	38	34	j	j	NOUN
fcis-2242	38	35	x	x	PRON
fcis-2242	38	36	represents	represent	VERB
fcis-2242	38	37	the	the	DET
fcis-2242	38	38	light	light	NOUN
fcis-2242	38	39	reflected	reflect	VERB
fcis-2242	38	40	from	from	ADP
fcis-2242	38	41	the	the	DET
fcis-2242	38	42	scene	scene	NOUN
fcis-2242	38	43	itself	itself	PRON
fcis-2242	38	44	,	,	PUNCT
fcis-2242	38	45	i.e.	i.e.	X
fcis-2242	38	46	,	,	PUNCT
fcis-2242	38	47	a	a	DET
fcis-2242	38	48	clear	clear	ADJ
fcis-2242	38	49	fog	fog	NOUN
fcis-2242	38	50	-	-	PUNCT
fcis-2242	38	51	free	free	ADJ
fcis-2242	38	52	image	image	NOUN
fcis-2242	38	53	;	;	PUNCT
fcis-2242	38	54	a	a	PRON
fcis-2242	38	55	is	be	AUX
fcis-2242	38	56	the	the	DET
fcis-2242	38	57	global	global	ADJ
fcis-2242	38	58	atmospheric	atmospheric	ADJ
fcis-2242	38	59	light	light	NOUN
fcis-2242	38	60	value	value	NOUN
fcis-2242	38	61	.	.	PUNCT
fcis-2242	39	1	for	for	ADP
fcis-2242	39	2	a	a	DET
fcis-2242	39	3	fog	fog	NOUN
fcis-2242	39	4	map	map	NOUN
fcis-2242	39	5	,	,	PUNCT
fcis-2242	39	6	the	the	DET
fcis-2242	39	7	atmospheric	atmospheric	ADJ
fcis-2242	39	8	light	light	NOUN
fcis-2242	39	9	value	value	NOUN
fcis-2242	39	10	is	be	AUX
fcis-2242	39	11	constant	constant	ADJ
fcis-2242	39	12	.	.	PUNCT
fcis-2242	40	1	(	(	PUNCT
fcis-2242	40	2	)	)	PUNCT
fcis-2242	40	3	t	t	NOUN
fcis-2242	40	4	x	x	PUNCT
fcis-2242	40	5	is	be	AUX
fcis-2242	40	6	the	the	DET
fcis-2242	40	7	transmittance	transmittance	NOUN
fcis-2242	40	8	,	,	PUNCT
fcis-2242	40	9	and	and	CCONJ
fcis-2242	40	10	its	its	PRON
fcis-2242	40	11	value	value	NOUN
fcis-2242	40	12	is	be	AUX
fcis-2242	40	13	between	between	ADP
fcis-2242	40	14	0	0	NUM
fcis-2242	40	15	and	and	CCONJ
fcis-2242	40	16	1	1	NUM
fcis-2242	40	17	.	.	PUNCT
fcis-2242	41	1	the	the	PRON
fcis-2242	41	2	larger	large	ADJ
fcis-2242	41	3	the	the	DET
fcis-2242	41	4	transmittance	transmittance	NOUN
fcis-2242	41	5	is	be	AUX
fcis-2242	41	6	,	,	PUNCT
fcis-2242	41	7	the	the	PRON
fcis-2242	41	8	stronger	strong	ADJ
fcis-2242	41	9	the	the	DET
fcis-2242	41	10	reflected	reflected	ADJ
fcis-2242	41	11	light	light	NOUN
fcis-2242	41	12	's	's	PART
fcis-2242	41	13	ability	ability	NOUN
fcis-2242	41	14	to	to	PART
fcis-2242	41	15	penetrate	penetrate	VERB
fcis-2242	41	16	fog	fog	PROPN
fcis-2242	41	17	.	.	PUNCT
fcis-2242	42	1	when	when	SCONJ
fcis-2242	42	2	the	the	DET
fcis-2242	42	3	transmittance	transmittance	NOUN
fcis-2242	42	4	is	be	AUX
fcis-2242	42	5	1	1	NUM
fcis-2242	42	6	,	,	PUNCT
fcis-2242	42	7	it	it	PRON
fcis-2242	42	8	is	be	AUX
fcis-2242	42	9	a	a	DET
fcis-2242	42	10	fog	fog	NOUN
fcis-2242	42	11	-	-	PUNCT
fcis-2242	42	12	free	free	ADJ
fcis-2242	42	13	environment	environment	NOUN
fcis-2242	42	14	.	.	PUNCT
fcis-2242	43	1	formula	formula	NOUN
fcis-2242	43	2	3	3	NUM
fcis-2242	43	3	is	be	AUX
fcis-2242	43	4	obtained	obtain	VERB
fcis-2242	43	5	by	by	ADP
fcis-2242	43	6	the	the	DET
fcis-2242	43	7	transformation	transformation	NOUN
fcis-2242	43	8	of	of	ADP
fcis-2242	43	9	formula	formula	NOUN
fcis-2242	43	10	2	2	NUM
fcis-2242	43	11	.	.	X
fcis-2242	43	12	t	t	PROPN
fcis-2242	43	13	is	be	AUX
fcis-2242	43	14	usually	usually	ADV
fcis-2242	43	15	set	set	VERB
fcis-2242	43	16	as	as	ADP
fcis-2242	43	17	0.1	0.1	NUM
fcis-2242	43	18	,	,	PUNCT
fcis-2242	43	19	which	which	PRON
fcis-2242	43	20	is	be	AUX
fcis-2242	43	21	set	set	VERB
fcis-2242	43	22	to	to	PART
fcis-2242	43	23	prevent	prevent	VERB
fcis-2242	43	24	the	the	DET
fcis-2242	43	25	denominator	denominator	NOUN
fcis-2242	43	26	from	from	ADP
fcis-2242	43	27	being	be	AUX
fcis-2242	43	28	too	too	ADV
fcis-2242	43	29	small	small	ADJ
fcis-2242	43	30	and	and	CCONJ
fcis-2242	43	31	the	the	DET
fcis-2242	43	32	value	value	NOUN
fcis-2242	43	33	of	of	ADP
fcis-2242	43	34	is	be	AUX
fcis-2242	43	35	too	too	ADV
fcis-2242	43	36	large	large	ADJ
fcis-2242	43	37	,	,	PUNCT
fcis-2242	43	38	leading	lead	VERB
fcis-2242	43	39	to	to	ADP
fcis-2242	43	40	the	the	DET
fcis-2242	43	41	transition	transition	NOUN
fcis-2242	43	42	of	of	ADP
fcis-2242	43	43	the	the	DET
fcis-2242	43	44	image	image	NOUN
fcis-2242	43	45	to	to	ADP
fcis-2242	43	46	the	the	DET
fcis-2242	43	47	white	white	ADJ
fcis-2242	43	48	field	field	NOUN
fcis-2242	43	49	.	.	PUNCT
fcis-2242	44	1	therefore	therefore	ADV
fcis-2242	44	2	,	,	PUNCT
fcis-2242	44	3	the	the	DET
fcis-2242	44	4	lower	low	ADJ
fcis-2242	44	5	limit	limit	NOUN
fcis-2242	44	6	is	be	AUX
fcis-2242	44	7	set	set	VERB
fcis-2242	44	8	for	for	ADP
fcis-2242	44	9	(	(	PUNCT
fcis-2242	44	10	)	)	PUNCT
fcis-2242	44	11	t	t	NOUN
fcis-2242	44	12	x	x	X
fcis-2242	44	13	.	.	PUNCT
fcis-2242	45	1	𝐽(𝑥	𝐽(𝑥	X
fcis-2242	45	2	)	)	PUNCT
fcis-2242	45	3	=	=	SYM
fcis-2242	45	4	𝐼(𝑥)−𝐴	𝐼(𝑥)−𝐴	PROPN
fcis-2242	45	5	𝑚𝑎𝑥[𝑡(𝑥),𝑡0	𝑚𝑎𝑥[𝑡(𝑥),𝑡0	X
fcis-2242	45	6	]	]	X
fcis-2242	46	1	+	+	CCONJ
fcis-2242	46	2	𝐴	𝐴	PROPN
fcis-2242	46	3	(	(	PUNCT
fcis-2242	46	4	3	3	NUM
fcis-2242	46	5	)	)	PUNCT
fcis-2242	46	6	for	for	ADP
fcis-2242	46	7	low	low	ADJ
fcis-2242	46	8	light	light	ADJ
fcis-2242	46	9	images	image	NOUN
fcis-2242	46	10	the	the	DET
fcis-2242	46	11	reversal	reversal	NOUN
fcis-2242	46	12	of	of	ADP
fcis-2242	46	13	the	the	DET
fcis-2242	46	14	figure	figure	NOUN
fcis-2242	46	15	is	be	AUX
fcis-2242	46	16	similar	similar	ADJ
fcis-2242	46	17	to	to	ADP
fcis-2242	46	18	the	the	DET
fcis-2242	46	19	fog	fog	NOUN
fcis-2242	46	20	on	on	ADP
fcis-2242	46	21	the	the	DET
fcis-2242	46	22	vision	vision	NOUN
fcis-2242	46	23	chart	chart	NOUN
fcis-2242	46	24	to	to	ADP
fcis-2242	46	25	this	this	DET
fcis-2242	46	26	phenomenon	phenomenon	NOUN
fcis-2242	46	27	,	,	PUNCT
fcis-2242	46	28	first	first	ADV
fcis-2242	46	29	will	will	AUX
fcis-2242	46	30	get	get	VERB
fcis-2242	46	31	the	the	DET
fcis-2242	46	32	similar	similar	ADJ
fcis-2242	46	33	low	low	ADJ
fcis-2242	46	34	-	-	PUNCT
fcis-2242	46	35	light	light	NOUN
fcis-2242	46	36	image	image	NOUN
fcis-2242	46	37	reversal	reversal	NOUN
fcis-2242	46	38	after	after	ADP
fcis-2242	46	39	the	the	DET
fcis-2242	46	40	reversal	reversal	NOUN
fcis-2242	46	41	of	of	ADP
fcis-2242	46	42	the	the	DET
fcis-2242	46	43	fog	fog	NOUN
fcis-2242	46	44	figure	figure	NOUN
fcis-2242	46	45	image	image	NOUN
fcis-2242	46	46	,	,	PUNCT
fcis-2242	46	47	then	then	ADV
fcis-2242	46	48	the	the	DET
fcis-2242	46	49	transmittance	transmittance	NOUN
fcis-2242	46	50	of	of	ADP
fcis-2242	46	51	the	the	DET
fcis-2242	46	52	pseudo	pseudo	NOUN
fcis-2242	46	53	fog	fog	NOUN
fcis-2242	46	54	figure	figure	NOUN
fcis-2242	46	55	estimates	estimate	NOUN
fcis-2242	46	56	and	and	CCONJ
fcis-2242	46	57	atmospheric	atmospheric	ADJ
fcis-2242	46	58	light	light	NOUN
fcis-2242	46	59	will	will	AUX
fcis-2242	46	60	finally	finally	ADV
fcis-2242	46	61	solve	solve	VERB
fcis-2242	46	62	the	the	DET
fcis-2242	46	63	parameters	parameter	NOUN
fcis-2242	46	64	into	into	ADP
fcis-2242	46	65	the	the	DET
fcis-2242	46	66	formula	formula	NOUN
fcis-2242	46	67	for	for	ADP
fcis-2242	46	68	image	image	NOUN
fcis-2242	46	69	restoration	restoration	NOUN
fcis-2242	46	70	,	,	PUNCT
fcis-2242	46	71	restoration	restoration	NOUN
fcis-2242	46	72	no	no	DET
fcis-2242	46	73	fog	fog	NOUN
fcis-2242	46	74	image	image	NOUN
fcis-2242	46	75	,	,	PUNCT
fcis-2242	46	76	further	far	ADV
fcis-2242	46	77	enhanced	enhance	VERB
fcis-2242	46	78	by	by	ADP
fcis-2242	46	79	low	low	ADJ
fcis-2242	46	80	light	light	ADJ
fcis-2242	46	81	images	image	NOUN
fcis-2242	46	82	.	.	PUNCT
fcis-2242	47	1	feng	feng	PROPN
fcis-2242	47	2	et	et	PROPN
fcis-2242	47	3	al	al	PROPN
fcis-2242	47	4	.	.	PROPN
fcis-2242	47	5	used	use	VERB
fcis-2242	47	6	pyramid	pyramid	NOUN
fcis-2242	47	7	dense	dense	ADJ
fcis-2242	47	8	residual	residual	ADJ
fcis-2242	47	9	block	block	NOUN
fcis-2242	47	10	network	network	NOUN
fcis-2242	47	11	to	to	PART
fcis-2242	47	12	estimate	estimate	VERB
fcis-2242	47	13	the	the	DET
fcis-2242	47	14	transmittance	transmittance	NOUN
fcis-2242	47	15	of	of	ADP
fcis-2242	47	16	the	the	DET
fcis-2242	47	17	pseudo	pseudo	NOUN
fcis-2242	47	18	-	-	ADJ
fcis-2242	47	19	fog	fog	NOUN
fcis-2242	47	20	image	image	NOUN
fcis-2242	47	21	,	,	PUNCT
fcis-2242	47	22	and	and	CCONJ
fcis-2242	47	23	calculated	calculate	VERB
fcis-2242	47	24	the	the	DET
fcis-2242	47	25	atmospheric	atmospheric	ADJ
fcis-2242	47	26	light	light	NOUN
fcis-2242	47	27	value	value	NOUN
fcis-2242	47	28	by	by	ADP
fcis-2242	47	29	k	k	ADJ
fcis-2242	47	30	-	-	PUNCT
fcis-2242	47	31	means	mean	VERB
fcis-2242	47	32	classification	classification	NOUN
fcis-2242	47	33	method	method	NOUN
fcis-2242	47	34	based	base	VERB
fcis-2242	47	35	on	on	ADP
fcis-2242	47	36	dark	dark	ADJ
fcis-2242	47	37	channel	channel	NOUN
fcis-2242	47	38	prior	prior	ADV
fcis-2242	47	39	,	,	PUNCT
fcis-2242	47	40	so	so	SCONJ
fcis-2242	47	41	as	as	SCONJ
fcis-2242	47	42	to	to	PART
fcis-2242	47	43	enhance	enhance	VERB
fcis-2242	47	44	the	the	DET
fcis-2242	47	45	image	image	NOUN
fcis-2242	47	46	.	.	PUNCT
fcis-2242	48	1	as	as	ADP
fcis-2242	48	2	a	a	DET
fcis-2242	48	3	result	result	NOUN
fcis-2242	48	4	,	,	PUNCT
fcis-2242	48	5	this	this	DET
fcis-2242	48	6	method	method	NOUN
fcis-2242	48	7	can	can	AUX
fcis-2242	48	8	enhance	enhance	VERB
fcis-2242	48	9	the	the	DET
fcis-2242	48	10	overall	overall	ADJ
fcis-2242	48	11	brightness	brightness	NOUN
fcis-2242	48	12	of	of	ADP
fcis-2242	48	13	lowlight	lowlight	ADJ
fcis-2242	48	14	images	image	NOUN
fcis-2242	48	15	,	,	PUNCT
fcis-2242	48	16	but	but	CCONJ
fcis-2242	48	17	the	the	DET
fcis-2242	48	18	enhancement	enhancement	NOUN
fcis-2242	48	19	effect	effect	NOUN
fcis-2242	48	20	of	of	ADP
fcis-2242	48	21	this	this	DET
fcis-2242	48	22	method	method	NOUN
fcis-2242	48	23	on	on	ADP
fcis-2242	48	24	local	local	ADJ
fcis-2242	48	25	information	information	NOUN
fcis-2242	48	26	is	be	AUX
fcis-2242	48	27	insufficient	insufficient	ADJ
fcis-2242	48	28	because	because	SCONJ
fcis-2242	48	29	the	the	DET
fcis-2242	48	30	atmospheric	atmospheric	ADJ
fcis-2242	48	31	light	light	NOUN
fcis-2242	48	32	value	value	NOUN
fcis-2242	48	33	is	be	AUX
fcis-2242	48	34	a	a	DET
fcis-2242	48	35	global	global	ADJ
fcis-2242	48	36	quantity	quantity	NOUN
fcis-2242	48	37	.	.	PUNCT
fcis-2242	49	1	3	3	X
fcis-2242	49	2	.	.	X
fcis-2242	49	3	low	low	ADJ
fcis-2242	49	4	-	-	PUNCT
fcis-2242	49	5	light	light	NOUN
fcis-2242	49	6	image	image	NOUN
fcis-2242	49	7	enhancement	enhancement	NOUN
fcis-2242	49	8	method	method	NOUN
fcis-2242	49	9	based	base	VERB
fcis-2242	49	10	on	on	ADP
fcis-2242	49	11	deep	deep	ADJ
fcis-2242	49	12	learning	learning	NOUN
fcis-2242	49	13	with	with	ADP
fcis-2242	49	14	the	the	DET
fcis-2242	49	15	underlying	underlie	VERB
fcis-2242	49	16	image	image	NOUN
fcis-2242	49	17	processing	processing	NOUN
fcis-2242	49	18	method	method	NOUN
fcis-2242	49	19	to	to	PART
fcis-2242	49	20	improve	improve	VERB
fcis-2242	49	21	the	the	DET
fcis-2242	49	22	quality	quality	NOUN
fcis-2242	49	23	of	of	ADP
fcis-2242	49	24	low	low	ADJ
fcis-2242	49	25	-	-	PUNCT
fcis-2242	49	26	light	light	NOUN
fcis-2242	49	27	image	image	NOUN
fcis-2242	49	28	enhancement	enhancement	NOUN
fcis-2242	49	29	results	result	NOUN
fcis-2242	49	30	can	can	AUX
fcis-2242	49	31	meet	meet	VERB
fcis-2242	49	32	the	the	DET
fcis-2242	49	33	requirements	requirement	NOUN
fcis-2242	49	34	of	of	ADP
fcis-2242	49	35	most	most	ADJ
fcis-2242	49	36	applications	application	NOUN
fcis-2242	49	37	,	,	PUNCT
fcis-2242	49	38	but	but	CCONJ
fcis-2242	49	39	the	the	DET
fcis-2242	49	40	method	method	NOUN
fcis-2242	49	41	itself	itself	PRON
fcis-2242	49	42	is	be	AUX
fcis-2242	49	43	determined	determine	VERB
fcis-2242	49	44	to	to	PART
fcis-2242	49	45	detail	detail	NOUN
fcis-2242	49	46	has	have	AUX
fcis-2242	49	47	been	be	AUX
fcis-2242	49	48	lost	lose	VERB
fcis-2242	49	49	night	night	NOUN
fcis-2242	49	50	up	up	ADP
fcis-2242	49	51	to	to	ADP
fcis-2242	49	52	the	the	DET
fcis-2242	49	53	ideal	ideal	ADJ
fcis-2242	49	54	image	image	NOUN
fcis-2242	49	55	enhancement	enhancement	NOUN
fcis-2242	49	56	as	as	ADP
fcis-2242	49	57	a	a	DET
fcis-2242	49	58	result	result	NOUN
fcis-2242	49	59	,	,	PUNCT
fcis-2242	49	60	the	the	DET
fcis-2242	49	61	quality	quality	NOUN
fcis-2242	49	62	of	of	ADP
fcis-2242	49	63	enhanced	enhanced	ADJ
fcis-2242	49	64	image	image	NOUN
fcis-2242	49	65	is	be	AUX
fcis-2242	49	66	often	often	ADV
fcis-2242	49	67	poor	poor	ADJ
fcis-2242	49	68	,	,	PUNCT
fcis-2242	49	69	especially	especially	ADV
fcis-2242	49	70	for	for	ADP
fcis-2242	49	71	a	a	DET
fcis-2242	49	72	single	single	ADJ
fcis-2242	49	73	night	night	NOUN
fcis-2242	49	74	image	image	NOUN
fcis-2242	49	75	enhancement	enhancement	NOUN
fcis-2242	49	76	method	method	NOUN
fcis-2242	49	77	,	,	PUNCT
fcis-2242	49	78	therefore	therefore	ADV
fcis-2242	49	79	,	,	PUNCT
fcis-2242	49	80	it	it	PRON
fcis-2242	49	81	can	can	AUX
fcis-2242	49	82	be	be	AUX
fcis-2242	49	83	said	say	VERB
fcis-2242	49	84	that	that	SCONJ
fcis-2242	49	85	there	there	PRON
fcis-2242	49	86	is	be	VERB
fcis-2242	49	87	a	a	DET
fcis-2242	49	88	bottleneck	bottleneck	NOUN
fcis-2242	49	89	in	in	ADP
fcis-2242	49	90	this	this	DET
fcis-2242	49	91	method	method	NOUN
fcis-2242	49	92	,	,	PUNCT
fcis-2242	49	93	which	which	PRON
fcis-2242	49	94	can	can	AUX
fcis-2242	49	95	not	not	PART
fcis-2242	49	96	really	really	ADV
fcis-2242	49	97	process	process	VERB
fcis-2242	49	98	all	all	DET
fcis-2242	49	99	night	night	NOUN
fcis-2242	49	100	images	image	NOUN
fcis-2242	49	101	.	.	PUNCT
fcis-2242	50	1	as	as	SCONJ
fcis-2242	50	2	deep	deep	ADJ
fcis-2242	50	3	learning	learning	NOUN
fcis-2242	50	4	has	have	AUX
fcis-2242	50	5	achieved	achieve	VERB
fcis-2242	50	6	good	good	ADJ
fcis-2242	50	7	results	result	NOUN
fcis-2242	50	8	in	in	ADP
fcis-2242	50	9	different	different	ADJ
fcis-2242	50	10	fields	field	NOUN
fcis-2242	50	11	,	,	PUNCT
fcis-2242	50	12	a	a	DET
fcis-2242	50	13	large	large	ADJ
fcis-2242	50	14	number	number	NOUN
fcis-2242	50	15	of	of	ADP
fcis-2242	50	16	scholars	scholar	NOUN
fcis-2242	50	17	firmly	firmly	ADV
fcis-2242	50	18	believe	believe	VERB
fcis-2242	50	19	that	that	SCONJ
fcis-2242	50	20	the	the	DET
fcis-2242	50	21	method	method	NOUN
fcis-2242	50	22	to	to	PART
fcis-2242	50	23	break	break	VERB
fcis-2242	50	24	the	the	DET
fcis-2242	50	25	bottleneck	bottleneck	NOUN
fcis-2242	50	26	problem	problem	NOUN
fcis-2242	50	27	of	of	ADP
fcis-2242	50	28	low	low	ADJ
fcis-2242	50	29	-	-	PUNCT
fcis-2242	50	30	light	light	NOUN
fcis-2242	50	31	image	image	NOUN
fcis-2242	50	32	enhancement	enhancement	NOUN
fcis-2242	50	33	algorithm	algorithm	NOUN
fcis-2242	50	34	must	must	AUX
fcis-2242	50	35	exist	exist	VERB
fcis-2242	50	36	in	in	ADP
fcis-2242	50	37	the	the	DET
fcis-2242	50	38	learning	learning	NOUN
fcis-2242	50	39	-	-	PUNCT
fcis-2242	50	40	based	base	VERB
fcis-2242	50	41	method	method	NOUN
fcis-2242	50	42	.	.	PUNCT
fcis-2242	51	1	low	low	ADJ
fcis-2242	51	2	light	light	ADJ
fcis-2242	51	3	enhancement	enhancement	NOUN
fcis-2242	51	4	methods	method	NOUN
fcis-2242	51	5	based	base	VERB
fcis-2242	51	6	on	on	ADP
fcis-2242	51	7	deep	deep	ADJ
fcis-2242	51	8	learning	learning	NOUN
fcis-2242	51	9	can	can	AUX
fcis-2242	51	10	be	be	AUX
fcis-2242	51	11	divided	divide	VERB
fcis-2242	51	12	into	into	ADP
fcis-2242	51	13	two	two	NUM
fcis-2242	51	14	branches	branch	NOUN
fcis-2242	51	15	.	.	PUNCT
fcis-2242	52	1	both	both	CCONJ
fcis-2242	52	2	the	the	DET
fcis-2242	52	3	convolutional	convolutional	ADJ
fcis-2242	52	4	neural	neural	ADJ
fcis-2242	52	5	network	network	NOUN
fcis-2242	52	6	(	(	PUNCT
fcis-2242	52	7	cnn	cnn	PROPN
fcis-2242	52	8	)	)	PUNCT
fcis-2242	52	9	method	method	NOUN
fcis-2242	52	10	and	and	CCONJ
fcis-2242	52	11	the	the	DET
fcis-2242	52	12	generative	generative	ADJ
fcis-2242	52	13	adversarial	adversarial	ADJ
fcis-2242	52	14	networks	network	NOUN
fcis-2242	52	15	(	(	PUNCT
fcis-2242	52	16	gan	gan	NOUN
fcis-2242	52	17	)	)	PUNCT
fcis-2242	52	18	method	method	NOUN
fcis-2242	52	19	are	be	AUX
fcis-2242	52	20	proposed	propose	VERB
fcis-2242	52	21	.	.	PUNCT
fcis-2242	53	1	both	both	DET
fcis-2242	53	2	methods	method	NOUN
fcis-2242	53	3	are	be	AUX
fcis-2242	53	4	based	base	VERB
fcis-2242	53	5	on	on	ADP
fcis-2242	53	6	data	data	NOUN
fcis-2242	53	7	driven	drive	VERB
fcis-2242	53	8	model	model	NOUN
fcis-2242	53	9	training	training	NOUN
fcis-2242	53	10	.	.	PUNCT
fcis-2242	54	1	3.1	3.1	NUM
fcis-2242	54	2	.	.	PUNCT
fcis-2242	54	3	low	low	ADJ
fcis-2242	54	4	-	-	PUNCT
fcis-2242	54	5	light	light	NOUN
fcis-2242	54	6	image	image	NOUN
fcis-2242	54	7	enhancement	enhancement	NOUN
fcis-2242	54	8	method	method	NOUN
fcis-2242	54	9	based	base	VERB
fcis-2242	54	10	on	on	ADP
fcis-2242	54	11	convolutional	convolutional	ADJ
fcis-2242	54	12	neural	neural	ADJ
fcis-2242	54	13	network	network	NOUN
fcis-2242	54	14	cnn	cnn	PROPN
fcis-2242	54	15	is	be	AUX
fcis-2242	54	16	a	a	DET
fcis-2242	54	17	common	common	ADJ
fcis-2242	54	18	deep	deep	ADJ
fcis-2242	54	19	learning	learning	NOUN
fcis-2242	54	20	model	model	NOUN
fcis-2242	54	21	.	.	PUNCT
fcis-2242	55	1	a	a	DET
fcis-2242	55	2	typical	typical	ADJ
fcis-2242	55	3	convolutional	convolutional	ADJ
fcis-2242	55	4	neural	neural	ADJ
fcis-2242	55	5	network	network	NOUN
fcis-2242	55	6	is	be	AUX
fcis-2242	55	7	composed	compose	VERB
fcis-2242	55	8	of	of	ADP
fcis-2242	55	9	convolution	convolution	NOUN
fcis-2242	55	10	layer	layer	NOUN
fcis-2242	55	11	,	,	PUNCT
fcis-2242	55	12	pooling	pool	VERB
fcis-2242	55	13	layer	layer	NOUN
fcis-2242	55	14	and	and	CCONJ
fcis-2242	55	15	full	full	ADJ
fcis-2242	55	16	connection	connection	NOUN
fcis-2242	55	17	layer	layer	NOUN
fcis-2242	55	18	.	.	PUNCT
fcis-2242	56	1	the	the	DET
fcis-2242	56	2	convolution	convolution	NOUN
fcis-2242	56	3	layer	layer	NOUN
fcis-2242	56	4	is	be	AUX
fcis-2242	56	5	responsible	responsible	ADJ
fcis-2242	56	6	for	for	ADP
fcis-2242	56	7	extracting	extract	VERB
fcis-2242	56	8	local	local	ADJ
fcis-2242	56	9	features	feature	NOUN
fcis-2242	56	10	of	of	ADP
fcis-2242	56	11	images	image	NOUN
fcis-2242	56	12	,	,	PUNCT
fcis-2242	56	13	pooling	pool	VERB
fcis-2242	56	14	layer	layer	NOUN
fcis-2242	56	15	is	be	AUX
fcis-2242	56	16	responsible	responsible	ADJ
fcis-2242	56	17	for	for	ADP
fcis-2242	56	18	reducing	reduce	VERB
fcis-2242	56	19	the	the	DET
fcis-2242	56	20	magnitude	magnitude	NOUN
fcis-2242	56	21	of	of	ADP
fcis-2242	56	22	parameters	parameter	NOUN
fcis-2242	56	23	,	,	PUNCT
fcis-2242	56	24	and	and	CCONJ
fcis-2242	56	25	full	full	ADJ
fcis-2242	56	26	connection	connection	NOUN
fcis-2242	56	27	layer	layer	NOUN
fcis-2242	56	28	is	be	AUX
fcis-2242	56	29	responsible	responsible	ADJ
fcis-2242	56	30	for	for	ADP
fcis-2242	56	31	outputing	output	VERB
fcis-2242	56	32	desired	desire	VERB
fcis-2242	56	33	results	result	NOUN
fcis-2242	56	34	.	.	PUNCT
fcis-2242	57	1	because	because	SCONJ
fcis-2242	57	2	convolutional	convolutional	ADJ
fcis-2242	57	3	neural	neural	ADJ
fcis-2242	57	4	network	network	NOUN
fcis-2242	57	5	has	have	VERB
fcis-2242	57	6	the	the	DET
fcis-2242	57	7	characteristics	characteristic	NOUN
fcis-2242	57	8	of	of	ADP
fcis-2242	57	9	local	local	ADJ
fcis-2242	57	10	connection	connection	NOUN
fcis-2242	57	11	and	and	CCONJ
fcis-2242	57	12	weight	weight	NOUN
fcis-2242	57	13	sharing	sharing	NOUN
fcis-2242	57	14	,	,	PUNCT
fcis-2242	57	15	it	it	PRON
fcis-2242	57	16	reduces	reduce	VERB
fcis-2242	57	17	the	the	DET
fcis-2242	57	18	training	training	NOUN
fcis-2242	57	19	parameters	parameter	NOUN
fcis-2242	57	20	and	and	CCONJ
fcis-2242	57	21	reduces	reduce	VERB
fcis-2242	57	22	the	the	DET
fcis-2242	57	23	complexity	complexity	NOUN
fcis-2242	57	24	of	of	ADP
fcis-2242	57	25	network	network	NOUN
fcis-2242	57	26	model	model	NOUN
fcis-2242	57	27	,	,	PUNCT
fcis-2242	57	28	so	so	SCONJ
fcis-2242	57	29	it	it	PRON
fcis-2242	57	30	is	be	AUX
fcis-2242	57	31	proposed	propose	VERB
fcis-2242	57	32	to	to	PART
fcis-2242	57	33	enhance	enhance	VERB
fcis-2242	57	34	low	low	ADJ
fcis-2242	57	35	-	-	PUNCT
fcis-2242	57	36	light	light	NOUN
fcis-2242	57	37	images	image	NOUN
fcis-2242	57	38	.	.	PUNCT
fcis-2242	58	1	the	the	DET
fcis-2242	58	2	method	method	NOUN
fcis-2242	58	3	based	base	VERB
fcis-2242	58	4	on	on	ADP
fcis-2242	58	5	cnn	cnn	PROPN
fcis-2242	58	6	relies	rely	VERB
fcis-2242	58	7	on	on	ADP
fcis-2242	58	8	pairs	pair	NOUN
fcis-2242	58	9	of	of	ADP
fcis-2242	58	10	images	image	NOUN
fcis-2242	58	11	for	for	ADP
fcis-2242	58	12	supervised	supervised	ADJ
fcis-2242	58	13	training	training	NOUN
fcis-2242	58	14	.	.	PUNCT
fcis-2242	59	1	as	as	ADP
fcis-2242	59	2	the	the	DET
fcis-2242	59	3	first	first	ADJ
fcis-2242	59	4	low	low	ADJ
fcis-2242	59	5	-	-	PUNCT
fcis-2242	59	6	light	light	NOUN
fcis-2242	59	7	network	network	NOUN
fcis-2242	59	8	(	(	PUNCT
fcis-2242	59	9	llnet	llnet	PROPN
fcis-2242	59	10	)	)	PUNCT
fcis-2242	59	11	that	that	PRON
fcis-2242	59	12	applies	apply	VERB
fcis-2242	59	13	deep	deep	ADJ
fcis-2242	59	14	learning	learning	NOUN
fcis-2242	59	15	to	to	PART
fcis-2242	59	16	image	image	NOUN
fcis-2242	59	17	enhancement	enhancement	NOUN
fcis-2242	59	18	,	,	PUNCT
fcis-2242	59	19	it	it	PRON
fcis-2242	59	20	builds	build	VERB
fcis-2242	59	21	a	a	DET
fcis-2242	59	22	deep	deep	ADJ
fcis-2242	59	23	network	network	NOUN
fcis-2242	59	24	to	to	PART
fcis-2242	59	25	learn	learn	VERB
fcis-2242	59	26	the	the	DET
fcis-2242	59	27	features	feature	NOUN
fcis-2242	59	28	of	of	ADP
fcis-2242	59	29	low	low	ADJ
fcis-2242	59	30	-	-	PUNCT
fcis-2242	59	31	light	light	NOUN
fcis-2242	59	32	image	image	NOUN
fcis-2242	59	33	and	and	CCONJ
fcis-2242	59	34	improves	improve	VERB
fcis-2242	59	35	the	the	DET
fcis-2242	59	36	local	local	ADJ
fcis-2242	59	37	contrast	contrast	NOUN
fcis-2242	59	38	so	so	SCONJ
fcis-2242	59	39	as	as	SCONJ
fcis-2242	59	40	to	to	PART
fcis-2242	59	41	prevent	prevent	VERB
fcis-2242	59	42	overamplification	overamplification	NOUN
fcis-2242	59	43	of	of	ADP
fcis-2242	59	44	already	already	ADV
fcis-2242	59	45	bright	bright	ADJ
fcis-2242	59	46	pixels	pixel	NOUN
fcis-2242	59	47	.	.	PUNCT
fcis-2242	60	1	it	it	PRON
fcis-2242	60	2	can	can	AUX
fcis-2242	60	3	realize	realize	VERB
fcis-2242	60	4	image	image	NOUN
fcis-2242	60	5	contrast	contrast	NOUN
fcis-2242	60	6	enhancement	enhancement	NOUN
fcis-2242	60	7	and	and	CCONJ
fcis-2242	60	8	noise	noise	NOUN
fcis-2242	60	9	reduction	reduction	NOUN
fcis-2242	60	10	at	at	ADP
fcis-2242	60	11	the	the	DET
fcis-2242	60	12	same	same	ADJ
fcis-2242	60	13	time	time	NOUN
fcis-2242	60	14	.	.	PUNCT
fcis-2242	61	1	lv	lv	PROPN
fcis-2242	61	2	et	et	PROPN
fcis-2242	61	3	al	al	PROPN
fcis-2242	61	4	proposed	propose	VERB
fcis-2242	61	5	multi	multi	ADJ
fcis-2242	61	6	-	-	ADJ
fcis-2242	61	7	branch	branch	ADJ
fcis-2242	61	8	low	low	ADJ
fcis-2242	61	9	-	-	PUNCT
fcis-2242	61	10	light	light	NOUN
fcis-2242	61	11	level	level	NOUN
fcis-2242	61	12	enhanced	enhance	VERB
fcis-2242	61	13	network	network	NOUN
fcis-2242	61	14	(	(	PUNCT
fcis-2242	61	15	mbllen	mbllen	PROPN
fcis-2242	61	16	)	)	PUNCT
fcis-2242	61	17	,	,	PUNCT
fcis-2242	61	18	which	which	PRON
fcis-2242	61	19	extracted	extract	VERB
fcis-2242	61	20	and	and	CCONJ
fcis-2242	61	21	fused	fuse	VERB
fcis-2242	61	22	features	feature	NOUN
fcis-2242	61	23	of	of	ADP
fcis-2242	61	24	different	different	ADJ
fcis-2242	61	25	levels	level	NOUN
fcis-2242	61	26	in	in	ADP
fcis-2242	61	27	the	the	DET
fcis-2242	61	28	network	network	NOUN
fcis-2242	61	29	to	to	PART
fcis-2242	61	30	obtain	obtain	VERB
fcis-2242	61	31	enhanced	enhanced	ADJ
fcis-2242	61	32	images	image	NOUN
fcis-2242	61	33	.	.	PUNCT
fcis-2242	62	1	at	at	ADP
fcis-2242	62	2	present	present	ADJ
fcis-2242	62	3	,	,	PUNCT
fcis-2242	62	4	the	the	DET
fcis-2242	62	5	more	more	ADV
fcis-2242	62	6	popular	popular	ADJ
fcis-2242	62	7	method	method	NOUN
fcis-2242	62	8	is	be	AUX
fcis-2242	62	9	to	to	PART
fcis-2242	62	10	combine	combine	VERB
fcis-2242	62	11	convolutional	convolutional	ADJ
fcis-2242	62	12	neural	neural	ADJ
fcis-2242	62	13	network	network	NOUN
fcis-2242	62	14	with	with	ADP
fcis-2242	62	15	retinex	retinex	ADJ
fcis-2242	62	16	theory	theory	NOUN
fcis-2242	62	17	to	to	PART
fcis-2242	62	18	process	process	VERB
fcis-2242	62	19	the	the	DET
fcis-2242	62	20	irradiation	irradiation	NOUN
fcis-2242	62	21	image	image	NOUN
fcis-2242	62	22	or	or	CCONJ
fcis-2242	62	23	reflection	reflection	NOUN
fcis-2242	62	24	image	image	NOUN
fcis-2242	62	25	of	of	ADP
fcis-2242	62	26	low	low	ADJ
fcis-2242	62	27	-	-	PUNCT
fcis-2242	62	28	light	light	NOUN
fcis-2242	62	29	image	image	NOUN
fcis-2242	62	30	.	.	PUNCT
fcis-2242	63	1	the	the	DET
fcis-2242	63	2	traditional	traditional	ADJ
fcis-2242	63	3	msr	msr	NOUN
fcis-2242	63	4	method	method	NOUN
fcis-2242	63	5	can	can	AUX
fcis-2242	63	6	be	be	AUX
fcis-2242	63	7	replaced	replace	VERB
fcis-2242	63	8	by	by	ADP
fcis-2242	63	9	the	the	DET
fcis-2242	63	10	feedforward	feedforward	ADJ
fcis-2242	63	11	neural	neural	ADJ
fcis-2242	63	12	network	network	NOUN
fcis-2242	63	13	with	with	ADP
fcis-2242	63	14	different	different	ADJ
fcis-2242	63	15	gaussian	gaussian	ADJ
fcis-2242	63	16	convolution	convolution	NOUN
fcis-2242	63	17	kernels	kernel	NOUN
fcis-2242	63	18	,	,	PUNCT
fcis-2242	63	19	so	so	ADV
fcis-2242	63	20	shen	shen	PROPN
fcis-2242	63	21	et	et	PROPN
fcis-2242	63	22	al	al	PROPN
fcis-2242	63	23	.	.	PROPN
fcis-2242	63	24	proposed	propose	VERB
fcis-2242	63	25	the	the	DET
fcis-2242	63	26	msr	msr	PROPN
fcis-2242	63	27	-	-	PUNCT
fcis-2242	63	28	net	net	NOUN
fcis-2242	63	29	network	network	NOUN
fcis-2242	63	30	to	to	PART
fcis-2242	63	31	realize	realize	VERB
fcis-2242	63	32	image	image	NOUN
fcis-2242	63	33	enhancement	enhancement	NOUN
fcis-2242	63	34	by	by	ADP
fcis-2242	63	35	learning	learn	VERB
fcis-2242	63	36	the	the	DET
fcis-2242	63	37	mapping	mapping	NOUN
fcis-2242	63	38	relationship	relationship	NOUN
fcis-2242	63	39	between	between	ADP
fcis-2242	63	40	low	low	ADJ
fcis-2242	63	41	-	-	PUNCT
fcis-2242	63	42	light	light	NOUN
fcis-2242	63	43	images	image	NOUN
fcis-2242	63	44	and	and	CCONJ
fcis-2242	63	45	normal	normal	ADJ
fcis-2242	63	46	images	image	NOUN
fcis-2242	63	47	.	.	PUNCT
fcis-2242	64	1	wei	wei	PROPN
fcis-2242	64	2	et	et	PROPN
fcis-2242	64	3	al	al	PROPN
fcis-2242	64	4	.	.	PROPN
fcis-2242	64	5	proposed	propose	VERB
fcis-2242	64	6	retinexnet	retinexnet	PROPN
fcis-2242	64	7	,	,	PUNCT
fcis-2242	64	8	which	which	PRON
fcis-2242	64	9	decomposed	decompose	VERB
fcis-2242	64	10	the	the	DET
fcis-2242	64	11	low	low	ADJ
fcis-2242	64	12	-	-	PUNCT
fcis-2242	64	13	light	light	NOUN
fcis-2242	64	14	image	image	NOUN
fcis-2242	64	15	into	into	ADP
fcis-2242	64	16	reflection	reflection	NOUN
fcis-2242	64	17	component	component	NOUN
fcis-2242	64	18	and	and	CCONJ
fcis-2242	64	19	illumination	illumination	NOUN
fcis-2242	64	20	component	component	NOUN
fcis-2242	64	21	through	through	ADP
fcis-2242	64	22	decomposition	decomposition	NOUN
fcis-2242	64	23	network	network	NOUN
fcis-2242	64	24	,	,	PUNCT
fcis-2242	64	25	and	and	CCONJ
fcis-2242	64	26	used	use	VERB
fcis-2242	64	27	bm3d	bm3d	NOUN
fcis-2242	64	28	to	to	PART
fcis-2242	64	29	suppress	suppress	VERB
fcis-2242	64	30	the	the	DET
fcis-2242	64	31	reflection	reflection	NOUN
fcis-2242	64	32	component	component	NOUN
fcis-2242	64	33	.	.	PUNCT
fcis-2242	65	1	hdr	hdr	NOUN
fcis-2242	65	2	-	-	ADJ
fcis-2242	65	3	net	net	NOUN
fcis-2242	65	4	combines	combine	VERB
fcis-2242	65	5	deep	deep	ADJ
fcis-2242	65	6	network	network	NOUN
fcis-2242	65	7	with	with	ADP
fcis-2242	65	8	bilateral	bilateral	ADJ
fcis-2242	65	9	grid	grid	NOUN
fcis-2242	65	10	processing	processing	NOUN
fcis-2242	65	11	and	and	CCONJ
fcis-2242	65	12	local	local	ADJ
fcis-2242	65	13	affine	affine	NOUN
fcis-2242	65	14	color	color	NOUN
fcis-2242	65	15	transformation	transformation	NOUN
fcis-2242	65	16	.	.	PUNCT
fcis-2242	66	1	the	the	DET
fcis-2242	66	2	kind	kind	ADJ
fcis-2242	66	3	network	network	NOUN
fcis-2242	66	4	proposed	propose	VERB
fcis-2242	66	5	by	by	ADP
fcis-2242	66	6	zhang	zhang	PROPN
fcis-2242	66	7	et	et	PROPN
fcis-2242	66	8	al	al	PROPN
fcis-2242	66	9	.	.	PROPN
fcis-2242	66	10	consists	consist	VERB
fcis-2242	66	11	of	of	ADP
fcis-2242	66	12	a	a	DET
fcis-2242	66	13	three	three	NUM
fcis-2242	66	14	-	-	PUNCT
fcis-2242	66	15	word	word	NOUN
fcis-2242	66	16	network	network	NOUN
fcis-2242	66	17	,	,	PUNCT
fcis-2242	66	18	which	which	PRON
fcis-2242	66	19	performs	perform	VERB
fcis-2242	66	20	image	image	NOUN
fcis-2242	66	21	decomposition	decomposition	NOUN
fcis-2242	66	22	,	,	PUNCT
fcis-2242	66	23	reflection	reflection	NOUN
fcis-2242	66	24	image	image	NOUN
fcis-2242	66	25	recovery	recovery	NOUN
fcis-2242	66	26	,	,	PUNCT
fcis-2242	66	27	illumination	illumination	NOUN
fcis-2242	66	28	adjustment	adjustment	NOUN
fcis-2242	66	29	,	,	PUNCT
fcis-2242	66	30	training	train	VERB
fcis-2242	66	31	through	through	ADP
fcis-2242	66	32	gamma	gamma	NOUN
fcis-2242	66	33	correction	correction	PROPN
fcis-2242	66	34	simulation	simulation	NOUN
fcis-2242	66	35	data	data	PROPN
fcis-2242	66	36	,	,	PUNCT
fcis-2242	66	37	and	and	CCONJ
fcis-2242	66	38	introduces	introduce	VERB
fcis-2242	66	39	more	more	ADJ
fcis-2242	66	40	loss	loss	NOUN
fcis-2242	66	41	functions	function	NOUN
fcis-2242	66	42	for	for	ADP
fcis-2242	66	43	constraints	constraint	NOUN
fcis-2242	66	44	.	.	PUNCT
fcis-2242	67	1	then	then	ADV
fcis-2242	67	2	,	,	PUNCT
fcis-2242	67	3	kind++	kind++	PROPN
fcis-2242	67	4	was	be	AUX
fcis-2242	67	5	proposed	propose	VERB
fcis-2242	67	6	to	to	PART
fcis-2242	67	7	optimize	optimize	VERB
fcis-2242	67	8	kind	kind	ADV
fcis-2242	67	9	by	by	ADP
fcis-2242	67	10	introducing	introduce	VERB
fcis-2242	67	11	multi	multi	ADJ
fcis-2242	67	12	-	-	ADJ
fcis-2242	67	13	scale	scale	ADJ
fcis-2242	67	14	illumination	illumination	NOUN
fcis-2242	67	15	attention	attention	NOUN
fcis-2242	67	16	module	module	NOUN
fcis-2242	67	17	.	.	PUNCT
fcis-2242	68	1	fan	fan	PROPN
fcis-2242	68	2	et	et	PROPN
fcis-2242	68	3	al	al	PROPN
fcis-2242	68	4	.	.	PROPN
fcis-2242	68	5	enhanced	enhance	VERB
fcis-2242	68	6	the	the	DET
fcis-2242	68	7	reflection	reflection	NOUN
fcis-2242	68	8	image	image	NOUN
fcis-2242	68	9	and	and	CCONJ
fcis-2242	68	10	illumination	illumination	NOUN
fcis-2242	68	11	image	image	NOUN
fcis-2242	68	12	through	through	ADP
fcis-2242	68	13	the	the	DET
fcis-2242	68	14	prior	prior	ADJ
fcis-2242	68	15	information	information	NOUN
fcis-2242	68	16	of	of	ADP
fcis-2242	68	17	image	image	NOUN
fcis-2242	68	18	semantics	semantic	NOUN
fcis-2242	68	19	,	,	PUNCT
fcis-2242	68	20	and	and	CCONJ
fcis-2242	68	21	achieved	achieve	VERB
fcis-2242	68	22	good	good	ADJ
fcis-2242	68	23	results	result	NOUN
fcis-2242	68	24	.	.	PUNCT
fcis-2242	69	1	3.2	3.2	NUM
fcis-2242	69	2	.	.	PUNCT
fcis-2242	69	3	low	low	ADJ
fcis-2242	69	4	-	-	PUNCT
fcis-2242	69	5	light	light	NOUN
fcis-2242	69	6	image	image	NOUN
fcis-2242	69	7	enhancement	enhancement	NOUN
fcis-2242	69	8	method	method	NOUN
fcis-2242	69	9	based	base	VERB
fcis-2242	69	10	on	on	ADP
fcis-2242	69	11	generative	generative	ADJ
fcis-2242	69	12	adversarial	adversarial	ADJ
fcis-2242	69	13	network	network	NOUN
fcis-2242	69	14	generative	generative	ADJ
fcis-2242	69	15	adversarial	adversarial	ADJ
fcis-2242	69	16	network	network	NOUN
fcis-2242	69	17	is	be	AUX
fcis-2242	69	18	an	an	DET
fcis-2242	69	19	unsupervised	unsupervised	ADJ
fcis-2242	69	20	deep	deep	ADJ
fcis-2242	69	21	90	90	NUM
fcis-2242	69	22	learning	learning	NOUN
fcis-2242	69	23	model	model	NOUN
fcis-2242	69	24	.	.	PUNCT
fcis-2242	70	1	the	the	DET
fcis-2242	70	2	traditional	traditional	ADJ
fcis-2242	70	3	generative	generative	ADJ
fcis-2242	70	4	adversarial	adversarial	ADJ
fcis-2242	70	5	network	network	NOUN
fcis-2242	70	6	consists	consist	VERB
fcis-2242	70	7	of	of	ADP
fcis-2242	70	8	a	a	DET
fcis-2242	70	9	generator	generator	NOUN
fcis-2242	70	10	and	and	CCONJ
fcis-2242	70	11	a	a	DET
fcis-2242	70	12	discriminator	discriminator	NOUN
fcis-2242	70	13	,	,	PUNCT
fcis-2242	70	14	and	and	CCONJ
fcis-2242	70	15	its	its	PRON
fcis-2242	70	16	principle	principle	NOUN
fcis-2242	70	17	is	be	AUX
fcis-2242	70	18	to	to	PART
fcis-2242	70	19	"	"	PUNCT
fcis-2242	70	20	trick	trick	VERB
fcis-2242	70	21	"	"	PUNCT
fcis-2242	70	22	the	the	DET
fcis-2242	70	23	discriminator	discriminator	NOUN
fcis-2242	70	24	with	with	ADP
fcis-2242	70	25	the	the	DET
fcis-2242	70	26	data	datum	NOUN
fcis-2242	70	27	generated	generate	VERB
fcis-2242	70	28	by	by	ADP
fcis-2242	70	29	the	the	DET
fcis-2242	70	30	generator	generator	NOUN
fcis-2242	70	31	.	.	PUNCT
fcis-2242	71	1	the	the	DET
fcis-2242	71	2	generator	generator	NOUN
fcis-2242	71	3	misleads	mislead	VERB
fcis-2242	71	4	the	the	DET
fcis-2242	71	5	discriminator	discriminator	NOUN
fcis-2242	71	6	by	by	ADP
fcis-2242	71	7	increasing	increase	VERB
fcis-2242	71	8	its	its	PRON
fcis-2242	71	9	ability	ability	NOUN
fcis-2242	71	10	to	to	PART
fcis-2242	71	11	produce	produce	VERB
fcis-2242	71	12	samples	sample	NOUN
fcis-2242	71	13	that	that	PRON
fcis-2242	71	14	are	be	AUX
fcis-2242	71	15	closer	close	ADJ
fcis-2242	71	16	and	and	CCONJ
fcis-2242	71	17	closer	close	ADJ
fcis-2242	71	18	to	to	ADP
fcis-2242	71	19	the	the	DET
fcis-2242	71	20	real	real	ADJ
fcis-2242	71	21	thing	thing	NOUN
fcis-2242	71	22	,	,	PUNCT
fcis-2242	71	23	and	and	CCONJ
fcis-2242	71	24	the	the	DET
fcis-2242	71	25	discriminator	discriminator	NOUN
fcis-2242	71	26	learns	learn	VERB
fcis-2242	71	27	and	and	CCONJ
fcis-2242	71	28	distinguishes	distinguish	VERB
fcis-2242	71	29	the	the	DET
fcis-2242	71	30	spurious	spurious	ADJ
fcis-2242	71	31	samples	sample	NOUN
fcis-2242	71	32	generated	generate	VERB
fcis-2242	71	33	by	by	ADP
fcis-2242	71	34	the	the	DET
fcis-2242	71	35	generator	generator	NOUN
fcis-2242	71	36	.	.	PUNCT
fcis-2242	72	1	the	the	DET
fcis-2242	72	2	training	training	NOUN
fcis-2242	72	3	process	process	NOUN
fcis-2242	72	4	can	can	AUX
fcis-2242	72	5	be	be	AUX
fcis-2242	72	6	regarded	regard	VERB
fcis-2242	72	7	as	as	ADP
fcis-2242	72	8	a	a	DET
fcis-2242	72	9	game	game	NOUN
fcis-2242	72	10	between	between	ADP
fcis-2242	72	11	the	the	DET
fcis-2242	72	12	discriminator	discriminator	NOUN
fcis-2242	72	13	and	and	CCONJ
fcis-2242	72	14	the	the	DET
fcis-2242	72	15	generator	generator	NOUN
fcis-2242	72	16	,	,	PUNCT
fcis-2242	72	17	iterating	iterate	VERB
fcis-2242	72	18	until	until	SCONJ
fcis-2242	72	19	the	the	DET
fcis-2242	72	20	discriminator	discriminator	NOUN
fcis-2242	72	21	can	can	AUX
fcis-2242	72	22	not	not	PART
fcis-2242	72	23	tell	tell	VERB
fcis-2242	72	24	whether	whether	SCONJ
fcis-2242	72	25	the	the	DET
fcis-2242	72	26	received	received	ADJ
fcis-2242	72	27	sample	sample	NOUN
fcis-2242	72	28	is	be	AUX
fcis-2242	72	29	from	from	ADP
fcis-2242	72	30	the	the	DET
fcis-2242	72	31	real	real	ADJ
fcis-2242	72	32	sample	sample	NOUN
fcis-2242	72	33	or	or	CCONJ
fcis-2242	72	34	from	from	ADP
fcis-2242	72	35	the	the	DET
fcis-2242	72	36	generated	generate	VERB
fcis-2242	72	37	sample	sample	NOUN
fcis-2242	72	38	.	.	PUNCT
fcis-2242	73	1	jiang	jiang	PROPN
fcis-2242	73	2	et	et	PROPN
fcis-2242	73	3	al	al	PROPN
fcis-2242	73	4	.	.	PROPN
fcis-2242	73	5	's	's	PART
fcis-2242	73	6	discussion	discussion	NOUN
fcis-2242	73	7	on	on	ADP
fcis-2242	73	8	the	the	DET
fcis-2242	73	9	development	development	NOUN
fcis-2242	73	10	of	of	ADP
fcis-2242	73	11	the	the	DET
fcis-2242	73	12	network	network	NOUN
fcis-2242	73	13	enables	enable	VERB
fcis-2242	73	14	the	the	DET
fcis-2242	73	15	development	development	NOUN
fcis-2242	73	16	of	of	ADP
fcis-2242	73	17	the	the	DET
fcis-2242	73	18	garden	garden	NOUN
fcis-2242	73	19	and	and	CCONJ
fcis-2242	73	20	the	the	DET
fcis-2242	73	21	discussion	discussion	NOUN
fcis-2242	73	22	of	of	ADP
fcis-2242	73	23	the	the	DET
fcis-2242	73	24	garden	garden	NOUN
fcis-2242	73	25	through	through	ADP
fcis-2242	73	26	the	the	DET
fcis-2242	73	27	"	"	PUNCT
fcis-2242	73	28	global	global	ADJ
fcis-2242	73	29	-	-	PUNCT
fcis-2242	73	30	local	local	ADJ
fcis-2242	73	31	"	"	PUNCT
fcis-2242	73	32	discriminator	discriminator	NOUN
fcis-2242	73	33	and	and	CCONJ
fcis-2242	73	34	the	the	DET
fcis-2242	73	35	self	self	NOUN
fcis-2242	73	36	-	-	PUNCT
fcis-2242	73	37	regularizing	regularize	VERB
fcis-2242	73	38	attention	attention	NOUN
fcis-2242	73	39	mechanism	mechanism	NOUN
fcis-2242	73	40	.	.	PUNCT
fcis-2242	74	1	guo	guo	PROPN
fcis-2242	74	2	et	et	PROPN
fcis-2242	74	3	al	al	PROPN
fcis-2242	74	4	.	.	PROPN
fcis-2242	74	5	designed	design	VERB
fcis-2242	74	6	a	a	DET
fcis-2242	74	7	parameter	parameter	NOUN
fcis-2242	74	8	estimation	estimation	NOUN
fcis-2242	74	9	network	network	NOUN
fcis-2242	74	10	zerodce	zerodce	NOUN
fcis-2242	74	11	,	,	PUNCT
fcis-2242	74	12	which	which	PRON
fcis-2242	74	13	gradually	gradually	ADV
fcis-2242	74	14	enhanced	enhance	VERB
fcis-2242	74	15	the	the	DET
fcis-2242	74	16	brightness	brightness	NOUN
fcis-2242	74	17	and	and	CCONJ
fcis-2242	74	18	contrast	contrast	NOUN
fcis-2242	74	19	of	of	ADP
fcis-2242	74	20	the	the	DET
fcis-2242	74	21	image	image	NOUN
fcis-2242	74	22	through	through	ADP
fcis-2242	74	23	continuously	continuously	ADV
fcis-2242	74	24	iterated	iterate	VERB
fcis-2242	74	25	optimized	optimize	VERB
fcis-2242	74	26	estimation	estimation	NOUN
fcis-2242	74	27	curves	curve	NOUN
fcis-2242	74	28	until	until	SCONJ
fcis-2242	74	29	relatively	relatively	ADV
fcis-2242	74	30	satisfactory	satisfactory	ADJ
fcis-2242	74	31	enhancement	enhancement	NOUN
fcis-2242	74	32	effects	effect	NOUN
fcis-2242	74	33	were	be	AUX
fcis-2242	74	34	obtained	obtain	VERB
fcis-2242	74	35	.	.	PUNCT
fcis-2242	75	1	li	li	PROPN
fcis-2242	75	2	et	et	PROPN
fcis-2242	75	3	al	al	PROPN
fcis-2242	75	4	.	.	PROPN
fcis-2242	75	5	improved	improve	VERB
fcis-2242	75	6	zero	zero	NUM
fcis-2242	75	7	-	-	PUNCT
fcis-2242	75	8	dce	dce	PROPN
fcis-2242	75	9	and	and	CCONJ
fcis-2242	75	10	obtained	obtain	VERB
fcis-2242	75	11	zero	zero	NUM
fcis-2242	75	12	-	-	PUNCT
fcis-2242	75	13	dce	dce	NOUN
fcis-2242	75	14	+	+	PROPN
fcis-2242	75	15	+	+	PROPN
fcis-2242	75	16	,	,	PUNCT
fcis-2242	75	17	which	which	PRON
fcis-2242	75	18	significantly	significantly	ADV
fcis-2242	75	19	improved	improve	VERB
fcis-2242	75	20	the	the	DET
fcis-2242	75	21	computing	computing	NOUN
fcis-2242	75	22	efficiency	efficiency	NOUN
fcis-2242	75	23	while	while	SCONJ
fcis-2242	75	24	maintaining	maintain	VERB
fcis-2242	75	25	the	the	DET
fcis-2242	75	26	original	original	ADJ
fcis-2242	75	27	performance	performance	NOUN
fcis-2242	75	28	.	.	PUNCT
fcis-2242	76	1	this	this	DET
fcis-2242	76	2	method	method	NOUN
fcis-2242	76	3	can	can	AUX
fcis-2242	76	4	still	still	ADV
fcis-2242	76	5	achieve	achieve	VERB
fcis-2242	76	6	the	the	DET
fcis-2242	76	7	effect	effect	NOUN
fcis-2242	76	8	of	of	ADP
fcis-2242	76	9	enhancing	enhance	VERB
fcis-2242	76	10	low	low	ADJ
fcis-2242	76	11	-	-	PUNCT
fcis-2242	76	12	light	light	NOUN
fcis-2242	76	13	images	image	NOUN
fcis-2242	76	14	without	without	ADP
fcis-2242	76	15	reference	reference	NOUN
fcis-2242	76	16	images	image	NOUN
fcis-2242	76	17	.	.	PUNCT
fcis-2242	77	1	however	however	ADV
fcis-2242	77	2	,	,	PUNCT
fcis-2242	77	3	due	due	ADP
fcis-2242	77	4	to	to	ADP
fcis-2242	77	5	the	the	DET
fcis-2242	77	6	lack	lack	NOUN
fcis-2242	77	7	of	of	ADP
fcis-2242	77	8	paired	pair	VERB
fcis-2242	77	9	training	training	NOUN
fcis-2242	77	10	sets	set	NOUN
fcis-2242	77	11	,	,	PUNCT
fcis-2242	77	12	the	the	DET
fcis-2242	77	13	enhancement	enhancement	NOUN
fcis-2242	77	14	effect	effect	NOUN
fcis-2242	77	15	is	be	AUX
fcis-2242	77	16	not	not	PART
fcis-2242	77	17	obvious	obvious	ADJ
fcis-2242	77	18	for	for	ADP
fcis-2242	77	19	extremely	extremely	ADV
fcis-2242	77	20	low	low	ADJ
fcis-2242	77	21	-	-	PUNCT
fcis-2242	77	22	light	light	NOUN
fcis-2242	77	23	images	image	NOUN
fcis-2242	77	24	,	,	PUNCT
fcis-2242	77	25	and	and	CCONJ
fcis-2242	77	26	the	the	DET
fcis-2242	77	27	details	detail	NOUN
fcis-2242	77	28	of	of	ADP
fcis-2242	77	29	images	image	NOUN
fcis-2242	77	30	can	can	AUX
fcis-2242	77	31	not	not	PART
fcis-2242	77	32	be	be	AUX
fcis-2242	77	33	effectively	effectively	ADV
fcis-2242	77	34	restored	restore	VERB
fcis-2242	77	35	.	.	PUNCT
fcis-2242	78	1	moreover	moreover	ADV
fcis-2242	78	2	,	,	PUNCT
fcis-2242	78	3	noise	noise	NOUN
fcis-2242	78	4	amplification	amplification	NOUN
fcis-2242	78	5	exists	exist	VERB
fcis-2242	78	6	in	in	ADP
fcis-2242	78	7	the	the	DET
fcis-2242	78	8	enhancement	enhancement	NOUN
fcis-2242	78	9	results	result	NOUN
fcis-2242	78	10	.	.	PUNCT
fcis-2242	79	1	3.3	3.3	NUM
fcis-2242	79	2	.	.	PUNCT
fcis-2242	79	3	low	low	ADJ
fcis-2242	79	4	-	-	PUNCT
fcis-2242	79	5	light	light	NOUN
fcis-2242	79	6	enhancement	enhancement	NOUN
fcis-2242	79	7	method	method	NOUN
fcis-2242	79	8	based	base	VERB
fcis-2242	79	9	on	on	ADP
fcis-2242	79	10	semi	semi	ADJ
fcis-2242	79	11	-	-	NOUN
fcis-2242	79	12	supervision	supervision	NOUN
fcis-2242	79	13	the	the	DET
fcis-2242	79	14	fully	fully	ADV
fcis-2242	79	15	supervised	supervise	VERB
fcis-2242	79	16	framework	framework	NOUN
fcis-2242	79	17	can	can	AUX
fcis-2242	79	18	obtain	obtain	VERB
fcis-2242	79	19	strong	strong	ADJ
fcis-2242	79	20	signal	signal	NOUN
fcis-2242	79	21	fidelity	fidelity	NOUN
fcis-2242	79	22	constraints	constraint	NOUN
fcis-2242	79	23	to	to	PART
fcis-2242	79	24	prevent	prevent	VERB
fcis-2242	79	25	deviation	deviation	NOUN
fcis-2242	79	26	from	from	ADP
fcis-2242	79	27	the	the	DET
fcis-2242	79	28	target	target	NOUN
fcis-2242	79	29	,	,	PUNCT
fcis-2242	79	30	while	while	SCONJ
fcis-2242	79	31	unsupervised	unsupervised	ADJ
fcis-2242	79	32	training	training	NOUN
fcis-2242	79	33	of	of	ADP
fcis-2242	79	34	high	high	ADJ
fcis-2242	79	35	-	-	PUNCT
fcis-2242	79	36	quality	quality	NOUN
fcis-2242	79	37	image	image	NOUN
fcis-2242	79	38	data	data	NOUN
fcis-2242	79	39	sets	set	NOUN
fcis-2242	79	40	can	can	AUX
fcis-2242	79	41	ensure	ensure	VERB
fcis-2242	79	42	strong	strong	ADJ
fcis-2242	79	43	visual	visual	ADJ
fcis-2242	79	44	perception	perception	NOUN
fcis-2242	79	45	quality	quality	NOUN
fcis-2242	79	46	.	.	PUNCT
fcis-2242	80	1	semi	semi	ADJ
fcis-2242	80	2	-	-	ADJ
fcis-2242	80	3	supervised	supervised	ADJ
fcis-2242	80	4	learning	learning	NOUN
fcis-2242	80	5	combines	combine	VERB
fcis-2242	80	6	the	the	DET
fcis-2242	80	7	advantages	advantage	NOUN
fcis-2242	80	8	of	of	ADP
fcis-2242	80	9	supervised	supervised	ADJ
fcis-2242	80	10	and	and	CCONJ
fcis-2242	80	11	unsupervised	unsupervised	ADJ
fcis-2242	80	12	learning	learning	NOUN
fcis-2242	80	13	by	by	ADP
fcis-2242	80	14	using	use	VERB
fcis-2242	80	15	both	both	DET
fcis-2242	80	16	labeled	label	VERB
fcis-2242	80	17	and	and	CCONJ
fcis-2242	80	18	unlabeled	unlabeled	ADJ
fcis-2242	80	19	samples	sample	NOUN
fcis-2242	80	20	.	.	PUNCT
fcis-2242	81	1	drbn	drbn	NOUN
fcis-2242	81	2	designed	design	VERB
fcis-2242	81	3	by	by	ADP
fcis-2242	81	4	yang	yang	PROPN
fcis-2242	81	5	et	et	PROPN
fcis-2242	81	6	al	al	PROPN
fcis-2242	81	7	.	.	PROPN
fcis-2242	81	8	restores	restore	VERB
fcis-2242	81	9	the	the	DET
fcis-2242	81	10	details	detail	NOUN
fcis-2242	81	11	of	of	ADP
fcis-2242	81	12	low	low	ADJ
fcis-2242	81	13	-	-	PUNCT
fcis-2242	81	14	light	light	NOUN
fcis-2242	81	15	images	image	NOUN
fcis-2242	81	16	by	by	ADP
fcis-2242	81	17	training	train	VERB
fcis-2242	81	18	paired	pair	VERB
fcis-2242	81	19	images	image	NOUN
fcis-2242	81	20	through	through	ADP
fcis-2242	81	21	recursive	recursive	ADJ
fcis-2242	81	22	network	network	NOUN
fcis-2242	81	23	,	,	PUNCT
fcis-2242	81	24	and	and	CCONJ
fcis-2242	81	25	improves	improve	VERB
fcis-2242	81	26	the	the	DET
fcis-2242	81	27	visual	visual	ADJ
fcis-2242	81	28	effect	effect	NOUN
fcis-2242	81	29	of	of	ADP
fcis-2242	81	30	low	low	ADJ
fcis-2242	81	31	-	-	PUNCT
fcis-2242	81	32	light	light	NOUN
fcis-2242	81	33	images	image	NOUN
fcis-2242	81	34	by	by	ADP
fcis-2242	81	35	training	train	VERB
fcis-2242	81	36	unpaired	unpaired	ADJ
fcis-2242	81	37	image	image	NOUN
fcis-2242	81	38	data	datum	NOUN
fcis-2242	81	39	through	through	ADP
fcis-2242	81	40	admission	admission	NOUN
fcis-2242	81	41	-	-	PUNCT
fcis-2242	81	42	learning	learning	NOUN
fcis-2242	81	43	.	.	PUNCT
fcis-2242	82	1	the	the	DET
fcis-2242	82	2	ruas	ruas	PROPN
fcis-2242	82	3	model	model	NOUN
fcis-2242	82	4	proposed	propose	VERB
fcis-2242	82	5	by	by	ADP
fcis-2242	82	6	liu	liu	PROPN
fcis-2242	82	7	et	et	PROPN
fcis-2242	82	8	al	al	PROPN
fcis-2242	82	9	.	.	PROPN
fcis-2242	82	10	uses	use	VERB
fcis-2242	82	11	the	the	DET
fcis-2242	82	12	unreferenced	unreferenced	ADJ
fcis-2242	82	13	loss	loss	NOUN
fcis-2242	82	14	function	function	NOUN
fcis-2242	82	15	for	for	ADP
fcis-2242	82	16	training	training	NOUN
fcis-2242	82	17	and	and	CCONJ
fcis-2242	82	18	uses	use	VERB
fcis-2242	82	19	the	the	DET
fcis-2242	82	20	method	method	NOUN
fcis-2242	82	21	of	of	ADP
fcis-2242	82	22	structure	structure	NOUN
fcis-2242	82	23	search	search	NOUN
fcis-2242	82	24	,	,	PUNCT
fcis-2242	82	25	which	which	PRON
fcis-2242	82	26	greatly	greatly	ADV
fcis-2242	82	27	improves	improve	VERB
fcis-2242	82	28	the	the	DET
fcis-2242	82	29	processing	processing	NOUN
fcis-2242	82	30	speed	speed	NOUN
fcis-2242	82	31	of	of	ADP
fcis-2242	82	32	the	the	DET
fcis-2242	82	33	network	network	NOUN
fcis-2242	82	34	.	.	PUNCT
fcis-2242	83	1	figure	figure	NOUN
fcis-2242	83	2	1	1	NUM
fcis-2242	83	3	shows	show	VERB
fcis-2242	83	4	the	the	DET
fcis-2242	83	5	visualized	visualize	VERB
fcis-2242	83	6	results	result	NOUN
fcis-2242	83	7	of	of	ADP
fcis-2242	83	8	some	some	PRON
fcis-2242	83	9	of	of	ADP
fcis-2242	83	10	the	the	DET
fcis-2242	83	11	methods	method	NOUN
fcis-2242	83	12	.	.	PUNCT
fcis-2242	84	1	fig	fig	NOUN
fcis-2242	84	2	.	.	PUNCT
fcis-2242	85	1	1	1	NUM
fcis-2242	85	2	visual	visual	ADJ
fcis-2242	85	3	comparison	comparison	NOUN
fcis-2242	85	4	of	of	ADP
fcis-2242	85	5	low	low	ADJ
fcis-2242	85	6	-	-	PUNCT
fcis-2242	85	7	light	light	NOUN
fcis-2242	85	8	image	image	NOUN
fcis-2242	85	9	enhancement	enhancement	NOUN
fcis-2242	85	10	results	result	NOUN
fcis-2242	85	11	.	.	PUNCT
fcis-2242	86	1	(	(	PUNCT
fcis-2242	86	2	a	a	X
fcis-2242	86	3	)	)	PUNCT
fcis-2242	86	4	underexposed	underexpose	VERB
fcis-2242	86	5	images	image	NOUN
fcis-2242	86	6	;	;	PUNCT
fcis-2242	86	7	(	(	PUNCT
fcis-2242	86	8	b	b	X
fcis-2242	86	9	)	)	PUNCT
fcis-2242	86	10	ssr	ssr	NOUN
fcis-2242	86	11	;	;	PUNCT
fcis-2242	86	12	(	(	PUNCT
fcis-2242	86	13	c	c	X
fcis-2242	86	14	)	)	PUNCT
fcis-2242	86	15	msr	msr	NOUN
fcis-2242	86	16	;	;	PUNCT
fcis-2242	86	17	(	(	PUNCT
fcis-2242	86	18	d	d	X
fcis-2242	86	19	)	)	PUNCT
fcis-2242	86	20	msrcr	msrcr	ADV
fcis-2242	86	21	;	;	PUNCT
fcis-2242	86	22	(	(	PUNCT
fcis-2242	86	23	e	e	X
fcis-2242	86	24	)	)	PUNCT
fcis-2242	86	25	dong	dong	NOUN
fcis-2242	86	26	;	;	PUNCT
fcis-2242	86	27	(	(	PUNCT
fcis-2242	86	28	f	f	X
fcis-2242	86	29	)	)	PUNCT
fcis-2242	86	30	llnet	llnet	NOUN
fcis-2242	86	31	;	;	PUNCT
fcis-2242	86	32	(	(	PUNCT
fcis-2242	86	33	g	g	NOUN
fcis-2242	86	34	)	)	PUNCT
fcis-2242	86	35	lightennet	lightennet	NOUN
fcis-2242	86	36	;	;	PUNCT
fcis-2242	86	37	(	(	PUNCT
fcis-2242	86	38	h	h	X
fcis-2242	86	39	)	)	PUNCT
fcis-2242	86	40	mbllen	mbllen	ADJ
fcis-2242	86	41	;	;	PUNCT
fcis-2242	86	42	(	(	PUNCT
fcis-2242	86	43	i	i	NOUN
fcis-2242	86	44	)	)	PUNCT
fcis-2242	86	45	retinexnet	retinexnet	NOUN
fcis-2242	86	46	;	;	PUNCT
fcis-2242	86	47	(	(	PUNCT
fcis-2242	86	48	j	j	NOUN
fcis-2242	86	49	)	)	PUNCT
fcis-2242	86	50	enlightengan	enlightengan	NOUN
fcis-2242	86	51	;	;	PUNCT
fcis-2242	86	52	(	(	PUNCT
fcis-2242	86	53	k	k	X
fcis-2242	86	54	)	)	PUNCT
fcis-2242	86	55	excnet	excnet	NOUN
fcis-2242	86	56	;	;	PUNCT
fcis-2242	86	57	(	(	PUNCT
fcis-2242	86	58	l	l	NOUN
fcis-2242	86	59	)	)	PUNCT
fcis-2242	86	60	kind	kind	NOUN
fcis-2242	86	61	;	;	PUNCT
fcis-2242	86	62	(	(	PUNCT
fcis-2242	86	63	m	m	NOUN
fcis-2242	86	64	)	)	PUNCT
fcis-2242	86	65	dupe	dupe	ADJ
fcis-2242	86	66	;	;	PUNCT
fcis-2242	86	67	(	(	PUNCT
fcis-2242	86	68	n	n	CCONJ
fcis-2242	86	69	)	)	PUNCT
fcis-2242	86	70	zero	zero	NUM
fcis-2242	86	71	-	-	PUNCT
fcis-2242	86	72	dce	dce	PROPN
fcis-2242	86	73	;	;	PUNCT
fcis-2242	86	74	(	(	PUNCT
fcis-2242	86	75	o	o	X
fcis-2242	86	76	)	)	PUNCT
fcis-2242	86	77	drbn	drbn	NOUN
fcis-2242	86	78	;	;	PUNCT
fcis-2242	86	79	(	(	PUNCT
fcis-2242	86	80	p	p	X
fcis-2242	86	81	)	)	PUNCT
fcis-2242	86	82	rrdnet	rrdnet	NOUN
fcis-2242	86	83	;	;	PUNCT
fcis-2242	86	84	(	(	PUNCT
fcis-2242	86	85	q	q	X
fcis-2242	86	86	)	)	PUNCT
fcis-2242	86	87	tbefn	tbefn	NOUN
fcis-2242	86	88	;	;	PUNCT
fcis-2242	86	89	(	(	PUNCT
fcis-2242	86	90	r	r	NOUN
fcis-2242	86	91	)	)	PUNCT
fcis-2242	86	92	dslr	dslr	NOUN
fcis-2242	86	93	;	;	PUNCT
fcis-2242	86	94	(	(	PUNCT
fcis-2242	86	95	s	s	NOUN
fcis-2242	86	96	)	)	PUNCT
fcis-2242	86	97	kind++	kind++	NOUN
fcis-2242	86	98	;	;	PUNCT
fcis-2242	86	99	(	(	PUNCT
fcis-2242	86	100	t	t	NOUN
fcis-2242	86	101	)	)	PUNCT
fcis-2242	86	102	zero	zero	NUM
fcis-2242	86	103	-	-	PUNCT
fcis-2242	86	104	dce++	dce++	PROPN
fcis-2242	86	105	;	;	PUNCT
fcis-2242	86	106	(	(	PUNCT
fcis-2242	86	107	u	u	NOUN
fcis-2242	86	108	)	)	PUNCT
fcis-2242	86	109	normal	normal	ADJ
fcis-2242	86	110	image	image	NOUN
fcis-2242	86	111	.	.	PUNCT
fcis-2242	87	1	4	4	X
fcis-2242	87	2	.	.	X
fcis-2242	87	3	data	datum	NOUN
fcis-2242	87	4	sets	set	NOUN
fcis-2242	87	5	and	and	CCONJ
fcis-2242	87	6	evaluation	evaluation	NOUN
fcis-2242	87	7	criteria	criterion	NOUN
fcis-2242	87	8	4.1	4.1	NUM
fcis-2242	87	9	.	.	PUNCT
fcis-2242	88	1	experimental	experimental	ADJ
fcis-2242	88	2	data	datum	NOUN
fcis-2242	88	3	set	set	VERB
fcis-2242	88	4	the	the	DET
fcis-2242	88	5	existing	exist	VERB
fcis-2242	88	6	low	low	ADJ
fcis-2242	88	7	-	-	PUNCT
fcis-2242	88	8	light	light	NOUN
fcis-2242	88	9	image	image	NOUN
fcis-2242	88	10	enhancement	enhancement	NOUN
fcis-2242	88	11	data	datum	NOUN
fcis-2242	88	12	set	set	NOUN
fcis-2242	88	13	presents	present	VERB
fcis-2242	88	14	a	a	DET
fcis-2242	88	15	trend	trend	NOUN
fcis-2242	88	16	from	from	ADP
fcis-2242	88	17	small	small	ADJ
fcis-2242	88	18	to	to	ADP
fcis-2242	88	19	large	large	ADJ
fcis-2242	88	20	,	,	PUNCT
fcis-2242	88	21	from	from	ADP
fcis-2242	88	22	single	single	ADJ
fcis-2242	88	23	to	to	ADP
fcis-2242	88	24	diverse	diverse	ADJ
fcis-2242	88	25	scenes	scene	NOUN
fcis-2242	88	26	,	,	PUNCT
fcis-2242	88	27	and	and	CCONJ
fcis-2242	88	28	from	from	ADP
fcis-2242	88	29	simple	simple	ADJ
fcis-2242	88	30	to	to	ADP
fcis-2242	88	31	complex	complex	ADJ
fcis-2242	88	32	data	datum	NOUN
fcis-2242	88	33	difficulty	difficulty	NOUN
fcis-2242	88	34	,	,	PUNCT
fcis-2242	88	35	as	as	SCONJ
fcis-2242	88	36	shown	show	VERB
fcis-2242	88	37	in	in	ADP
fcis-2242	88	38	table	table	NOUN
fcis-2242	88	39	1	1	NUM
fcis-2242	88	40	.	.	PUNCT
fcis-2242	89	1	early	early	ADJ
fcis-2242	89	2	image	image	NOUN
fcis-2242	89	3	enhancement	enhancement	NOUN
fcis-2242	89	4	data	datum	NOUN
fcis-2242	89	5	sets	set	NOUN
fcis-2242	89	6	are	be	AUX
fcis-2242	89	7	mainly	mainly	ADV
fcis-2242	89	8	small	small	ADJ
fcis-2242	89	9	in	in	ADP
fcis-2242	89	10	scale	scale	NOUN
fcis-2242	89	11	and	and	CCONJ
fcis-2242	89	12	only	only	ADV
fcis-2242	89	13	contain	contain	VERB
fcis-2242	89	14	low	low	ADJ
fcis-2242	89	15	-	-	PUNCT
fcis-2242	89	16	light	light	NOUN
fcis-2242	89	17	images	image	NOUN
fcis-2242	89	18	,	,	PUNCT
fcis-2242	89	19	such	such	ADJ
fcis-2242	89	20	as	as	ADP
fcis-2242	89	21	dicm	dicm	ADJ
fcis-2242	89	22	,	,	PUNCT
fcis-2242	89	23	lime	lime	NOUN
fcis-2242	89	24	,	,	PUNCT
fcis-2242	89	25	mef	mef	PROPN
fcis-2242	89	26	,	,	PUNCT
fcis-2242	89	27	npe	npe	NOUN
fcis-2242	89	28	and	and	CCONJ
fcis-2242	89	29	vv	vv	INTJ
fcis-2242	89	30	.	.	PUNCT
fcis-2242	90	1	in	in	ADP
fcis-2242	90	2	recent	recent	ADJ
fcis-2242	90	3	years	year	NOUN
fcis-2242	90	4	,	,	PUNCT
fcis-2242	90	5	with	with	ADP
fcis-2242	90	6	the	the	DET
fcis-2242	90	7	development	development	NOUN
fcis-2242	90	8	of	of	ADP
fcis-2242	90	9	deep	deep	ADJ
fcis-2242	90	10	learning	learning	NOUN
fcis-2242	90	11	,	,	PUNCT
fcis-2242	90	12	a	a	DET
fcis-2242	90	13	batch	batch	NOUN
fcis-2242	90	14	of	of	ADP
fcis-2242	90	15	large	large	ADJ
fcis-2242	90	16	-	-	PUNCT
fcis-2242	90	17	scale	scale	NOUN
fcis-2242	90	18	paired	pair	VERB
fcis-2242	90	19	datasets	dataset	NOUN
fcis-2242	90	20	have	have	AUX
fcis-2242	90	21	emerged	emerge	VERB
fcis-2242	90	22	,	,	PUNCT
fcis-2242	90	23	among	among	ADP
fcis-2242	90	24	which	which	PRON
fcis-2242	90	25	the	the	DET
fcis-2242	90	26	representative	representative	ADJ
fcis-2242	90	27	lol	lol	ADJ
fcis-2242	90	28	datasets	dataset	NOUN
fcis-2242	90	29	are	be	AUX
fcis-2242	90	30	paired	pair	VERB
fcis-2242	90	31	datasets	dataset	NOUN
fcis-2242	90	32	obtained	obtain	VERB
fcis-2242	90	33	from	from	ADP
fcis-2242	90	34	real	real	ADJ
fcis-2242	90	35	scenes	scene	NOUN
fcis-2242	90	36	by	by	ADP
fcis-2242	90	37	changing	change	VERB
fcis-2242	90	38	exposure	exposure	NOUN
fcis-2242	90	39	time	time	NOUN
fcis-2242	90	40	.	.	PUNCT
fcis-2242	91	1	however	however	ADV
fcis-2242	91	2	,	,	PUNCT
fcis-2242	91	3	due	due	ADP
fcis-2242	91	4	to	to	ADP
fcis-2242	91	5	the	the	DET
fcis-2242	91	6	complicated	complicated	ADJ
fcis-2242	91	7	experimental	experimental	ADJ
fcis-2242	91	8	settings	setting	NOUN
fcis-2242	91	9	,	,	PUNCT
fcis-2242	91	10	such	such	ADJ
fcis-2242	91	11	as	as	SCONJ
fcis-2242	91	12	the	the	DET
fcis-2242	91	13	camera	camera	NOUN
fcis-2242	91	14	needs	need	VERB
fcis-2242	91	15	to	to	PART
fcis-2242	91	16	be	be	AUX
fcis-2242	91	17	fixed	fix	VERB
fcis-2242	91	18	and	and	CCONJ
fcis-2242	91	19	objects	object	NOUN
fcis-2242	91	20	can	can	AUX
fcis-2242	91	21	not	not	PART
fcis-2242	91	22	be	be	AUX
fcis-2242	91	23	moved	move	VERB
fcis-2242	91	24	,	,	PUNCT
fcis-2242	91	25	there	there	PRON
fcis-2242	91	26	are	be	VERB
fcis-2242	91	27	only	only	ADV
fcis-2242	91	28	500	500	NUM
fcis-2242	91	29	pairs	pair	NOUN
fcis-2242	91	30	.	.	PUNCT
fcis-2242	92	1	mitadobe	mitadobe	NOUN
fcis-2242	92	2	5k	5k	NUM
fcis-2242	92	3	consists	consist	VERB
fcis-2242	92	4	of	of	ADP
fcis-2242	92	5	5,000	5,000	NUM
fcis-2242	92	6	low	low	ADJ
fcis-2242	92	7	-	-	PUNCT
fcis-2242	92	8	light	light	NOUN
fcis-2242	92	9	images	image	NOUN
fcis-2242	92	10	and	and	CCONJ
fcis-2242	92	11	handtouched	handtouche	VERB
fcis-2242	92	12	images	image	NOUN
fcis-2242	92	13	by	by	ADP
fcis-2242	92	14	five	five	NUM
fcis-2242	92	15	professional	professional	ADJ
fcis-2242	92	16	decorators	decorator	NOUN
fcis-2242	92	17	(	(	PUNCT
fcis-2242	92	18	a	a	PRON
fcis-2242	92	19	,	,	PUNCT
fcis-2242	92	20	b	b	NOUN
fcis-2242	92	21	,	,	PUNCT
fcis-2242	92	22	c	c	NOUN
fcis-2242	92	23	,	,	PUNCT
fcis-2242	92	24	d	d	NOUN
fcis-2242	92	25	,	,	PUNCT
fcis-2242	92	26	e	e	NOUN
fcis-2242	92	27	)	)	PUNCT
fcis-2242	92	28	.	.	PUNCT
fcis-2242	93	1	pairwise	pairwise	NOUN
fcis-2242	93	2	data	datum	NOUN
fcis-2242	93	3	sets	set	NOUN
fcis-2242	93	4	are	be	AUX
fcis-2242	93	5	mainly	mainly	ADV
fcis-2242	93	6	obtained	obtain	VERB
fcis-2242	93	7	by	by	ADP
fcis-2242	93	8	changing	change	VERB
fcis-2242	93	9	exposure	exposure	NOUN
fcis-2242	93	10	time	time	NOUN
fcis-2242	93	11	or	or	CCONJ
fcis-2242	93	12	expert	expert	NOUN
fcis-2242	93	13	modification	modification	NOUN
fcis-2242	93	14	.	.	PUNCT
fcis-2242	94	1	experimental	experimental	ADJ
fcis-2242	94	2	settings	setting	NOUN
fcis-2242	94	3	are	be	AUX
fcis-2242	94	4	complicated	complicated	ADJ
fcis-2242	94	5	,	,	PUNCT
fcis-2242	94	6	so	so	ADV
fcis-2242	94	7	most	most	ADJ
fcis-2242	94	8	low	low	ADJ
fcis-2242	94	9	-	-	PUNCT
fcis-2242	94	10	light	light	NOUN
fcis-2242	94	11	image	image	NOUN
fcis-2242	94	12	enhancement	enhancement	NOUN
fcis-2242	94	13	data	datum	NOUN
fcis-2242	94	14	sets	set	NOUN
fcis-2242	94	15	belong	belong	VERB
fcis-2242	94	16	to	to	ADP
fcis-2242	94	17	unpaired	unpaired	ADJ
fcis-2242	94	18	data	data	NOUN
fcis-2242	94	19	sets	set	NOUN
fcis-2242	94	20	.	.	PUNCT
fcis-2242	95	1	figure	figure	NOUN
fcis-2242	95	2	2	2	NUM
fcis-2242	95	3	shows	show	VERB
fcis-2242	95	4	the	the	DET
fcis-2242	95	5	examples	example	NOUN
fcis-2242	95	6	of	of	ADP
fcis-2242	95	7	images	image	NOUN
fcis-2242	95	8	in	in	ADP
fcis-2242	95	9	some	some	DET
fcis-2242	95	10	low	low	ADJ
fcis-2242	95	11	-	-	PUNCT
fcis-2242	95	12	light	light	NOUN
fcis-2242	95	13	datasets	dataset	NOUN
fcis-2242	95	14	.	.	PUNCT
fcis-2242	96	1	table	table	NOUN
fcis-2242	96	2	1	1	NUM
fcis-2242	96	3	.	.	PUNCT
fcis-2242	97	1	summary	summary	NOUN
fcis-2242	97	2	of	of	ADP
fcis-2242	97	3	low	low	ADJ
fcis-2242	97	4	-	-	PUNCT
fcis-2242	97	5	light	light	NOUN
fcis-2242	97	6	image	image	NOUN
fcis-2242	97	7	dataset	dataset	VERB
fcis-2242	97	8	no	no	DET
fcis-2242	97	9	abbreviat	abbreviat	NOUN
fcis-2242	97	10	ion	ion	NOUN
fcis-2242	97	11	format	format	NOUN
fcis-2242	97	12	real/	real/	NUM
fcis-2242	97	13	synt	synt	ADJ
fcis-2242	97	14	hetic	hetic	ADJ
fcis-2242	97	15	number	number	NOUN
fcis-2242	97	16	paired/	paired/	NUM
fcis-2242	97	17	unpaire	unpaire	NOUN
fcis-2242	98	1	d	d	X
fcis-2242	98	2	sourc	sourc	ADV
fcis-2242	98	3	e	e	NOUN
fcis-2242	98	4	1	1	NUM
fcis-2242	98	5	dicm	dicm	VERB
fcis-2242	98	6	rgb	rgb	PROPN
fcis-2242	98	7	real	real	ADJ
fcis-2242	98	8	64	64	NUM
fcis-2242	98	9	unpaired	unpaired	ADJ
fcis-2242	98	10	ieee	ieee	NOUN
fcis-2242	98	11	2013	2013	NUM
fcis-2242	98	12	2	2	NUM
fcis-2242	98	13	lime	lime	NOUN
fcis-2242	98	14	rgb	rgb	PROPN
fcis-2242	98	15	real	real	ADJ
fcis-2242	98	16	10	10	NUM
fcis-2242	98	17	unpaired	unpaired	ADJ
fcis-2242	98	18	ieee	ieee	NOUN
fcis-2242	98	19	2017	2017	NUM
fcis-2242	98	20	3	3	NUM
fcis-2242	98	21	mef	mef	NOUN
fcis-2242	98	22	rgb	rgb	PROPN
fcis-2242	98	23	real	real	ADJ
fcis-2242	98	24	17	17	NUM
fcis-2242	98	25	unpaired	unpaired	ADJ
fcis-2242	98	26	ieee	ieee	NOUN
fcis-2242	98	27	2015	2015	NUM
fcis-2242	98	28	4	4	NUM
fcis-2242	98	29	npe	npe	PROPN
fcis-2242	98	30	rgb	rgb	PROPN
fcis-2242	98	31	real	real	ADJ
fcis-2242	98	32	84	84	NUM
fcis-2242	98	33	unpaired	unpaired	ADJ
fcis-2242	98	34	ieee	ieee	NOUN
fcis-2242	98	35	2013	2013	NUM
fcis-2242	98	36	5	5	NUM
fcis-2242	98	37	vv	vv	ADP
fcis-2242	98	38	rgb	rgb	PROPN
fcis-2242	98	39	real	real	ADJ
fcis-2242	98	40	24	24	NUM
fcis-2242	98	41	unpaired	unpaired	ADJ
fcis-2242	98	42	mat	mat	NOUN
fcis-2242	98	43	2018	2018	NUM
fcis-2242	98	44	6	6	NUM
fcis-2242	98	45	lol	lol	PROPN
fcis-2242	98	46	rgb	rgb	PROPN
fcis-2242	98	47	real	real	PROPN
fcis-2242	98	48	&	&	CCONJ
fcis-2242	98	49	synthet	synthet	PROPN
fcis-2242	98	50	ic	ic	PROPN
fcis-2242	98	51	500	500	NUM
fcis-2242	98	52	paired	pair	VERB
fcis-2242	98	53	bmv	bmv	PROPN
fcis-2242	98	54	c	c	PROPN
fcis-2242	98	55	2018	2018	NUM
fcis-2242	98	56	7	7	NUM
fcis-2242	98	57	mitadobe	mitadobe	NOUN
fcis-2242	98	58	5k	5k	NUM
fcis-2242	98	59	raw	raw	ADJ
fcis-2242	98	60	real	real	NOUN
fcis-2242	98	61	&	&	CCONJ
fcis-2242	98	62	synthet	synthet	PROPN
fcis-2242	98	63	ic	ic	PROPN
fcis-2242	98	64	5000	5000	NUM
fcis-2242	98	65	paired	pair	VERB
fcis-2242	98	66	cvpr	cvpr	NOUN
fcis-2242	98	67	2011	2011	NUM
fcis-2242	98	68	8	8	NUM
fcis-2242	98	69	sice	sice	ADV
fcis-2242	98	70	rgb	rgb	PROPN
fcis-2242	98	71	real	real	ADJ
fcis-2242	98	72	4413	4413	NUM
fcis-2242	98	73	paired	pair	VERB
fcis-2242	98	74	ieee	ieee	NOUN
fcis-2242	98	75	2018	2018	NUM
fcis-2242	98	76	9	9	NUM
fcis-2242	98	77	sid	sid	PROPN
fcis-2242	98	78	raw	raw	ADJ
fcis-2242	98	79	real	real	ADJ
fcis-2242	98	80	5094	5094	NUM
fcis-2242	98	81	paired	pair	VERB
fcis-2242	98	82	cvpr	cvpr	NOUN
fcis-2242	98	83	2018	2018	NUM
fcis-2242	98	84	10	10	NUM
fcis-2242	98	85	llivphone	llivphone	VERB
fcis-2242	98	86	rgb	rgb	PROPN
fcis-2242	98	87	real	real	ADJ
fcis-2242	98	88	45148	45148	NUM
fcis-2242	98	89	unpaired	unpaired	ADJ
fcis-2242	98	90	ieee	ieee	NOUN
fcis-2242	98	91	2021	2021	NUM
fcis-2242	98	92	fig	fig	NOUN
fcis-2242	98	93	.	.	PUNCT
fcis-2242	99	1	2	2	NUM
fcis-2242	99	2	example	example	NOUN
fcis-2242	99	3	of	of	ADP
fcis-2242	99	4	images	image	NOUN
fcis-2242	99	5	in	in	ADP
fcis-2242	99	6	some	some	DET
fcis-2242	99	7	low	low	ADJ
fcis-2242	99	8	-	-	PUNCT
fcis-2242	99	9	light	light	NOUN
fcis-2242	99	10	datasets	dataset	NOUN
fcis-2242	99	11	.	.	PUNCT
fcis-2242	100	1	(	(	PUNCT
fcis-2242	100	2	a	a	X
fcis-2242	100	3	)	)	PUNCT
fcis-2242	100	4	lime	lime	NOUN
fcis-2242	100	5	;	;	PUNCT
fcis-2242	100	6	(	(	PUNCT
fcis-2242	100	7	b	b	X
fcis-2242	100	8	)	)	PUNCT
fcis-2242	100	9	mef	mef	NOUN
fcis-2242	100	10	;	;	PUNCT
fcis-2242	100	11	(	(	PUNCT
fcis-2242	100	12	c	c	X
fcis-2242	100	13	)	)	PUNCT
fcis-2242	100	14	npe	npe	NOUN
fcis-2242	100	15	;	;	PUNCT
fcis-2242	100	16	(	(	PUNCT
fcis-2242	100	17	d	d	X
fcis-2242	100	18	)	)	PUNCT
fcis-2242	100	19	dicm	dicm	ADJ
fcis-2242	100	20	;	;	PUNCT
fcis-2242	100	21	(	(	PUNCT
fcis-2242	100	22	e	e	X
fcis-2242	100	23	)	)	PUNCT
fcis-2242	100	24	(	(	PUNCT
fcis-2242	100	25	f	f	X
fcis-2242	100	26	)	)	PUNCT
fcis-2242	100	27	lol	lol	ADJ
fcis-2242	100	28	;	;	PUNCT
fcis-2242	100	29	(	(	PUNCT
fcis-2242	100	30	g	g	NOUN
fcis-2242	100	31	)	)	PUNCT
fcis-2242	100	32	(	(	PUNCT
fcis-2242	100	33	h	h	NOUN
fcis-2242	100	34	)	)	PUNCT
fcis-2242	100	35	mit	mit	PROPN
fcis-2242	100	36	-	-	PUNCT
fcis-2242	100	37	adobe	adobe	PROPN
fcis-2242	100	38	fivek	fivek	PROPN
fcis-2242	100	39	.	.	PUNCT
fcis-2242	101	1	4.2	4.2	NUM
fcis-2242	101	2	.	.	PUNCT
fcis-2242	102	1	image	image	NOUN
fcis-2242	102	2	evaluation	evaluation	NOUN
fcis-2242	102	3	criteria	criterion	NOUN
fcis-2242	102	4	subjective	subjective	ADJ
fcis-2242	102	5	qualitative	qualitative	ADJ
fcis-2242	102	6	analysis	analysis	NOUN
fcis-2242	102	7	.	.	PUNCT
fcis-2242	103	1	on	on	ADP
fcis-2242	103	2	the	the	DET
fcis-2242	103	3	subjective	subjective	ADJ
fcis-2242	103	4	evaluation	evaluation	NOUN
fcis-2242	103	5	from	from	ADP
fcis-2242	103	6	the	the	DET
fcis-2242	103	7	visual	visual	ADJ
fcis-2242	103	8	effect	effect	NOUN
fcis-2242	103	9	of	of	ADP
fcis-2242	103	10	the	the	DET
fcis-2242	103	11	enhanced	enhance	VERB
fcis-2242	103	12	image	image	NOUN
fcis-2242	103	13	evaluation	evaluation	NOUN
fcis-2242	103	14	,	,	PUNCT
fcis-2242	103	15	use	use	VERB
fcis-2242	103	16	different	different	ADJ
fcis-2242	103	17	algorithms	algorithm	NOUN
fcis-2242	103	18	to	to	PART
fcis-2242	103	19	enhance	enhance	VERB
fcis-2242	103	20	the	the	DET
fcis-2242	103	21	same	same	ADJ
fcis-2242	103	22	,	,	PUNCT
fcis-2242	103	23	a	a	DET
fcis-2242	103	24	low	low	ADJ
fcis-2242	103	25	-	-	PUNCT
fcis-2242	103	26	light	light	NOUN
fcis-2242	103	27	image	image	NOUN
fcis-2242	103	28	depends	depend	VERB
fcis-2242	103	29	on	on	ADP
fcis-2242	103	30	volunteers	volunteer	NOUN
fcis-2242	103	31	to	to	PART
fcis-2242	103	32	evaluate	evaluate	VERB
fcis-2242	103	33	quality	quality	NOUN
fcis-2242	103	34	of	of	ADP
fcis-2242	103	35	enhanced	enhanced	ADJ
fcis-2242	103	36	image	image	NOUN
fcis-2242	103	37	visual	visual	ADJ
fcis-2242	103	38	,	,	PUNCT
fcis-2242	103	39	mainly	mainly	ADV
fcis-2242	103	40	from	from	ADP
fcis-2242	103	41	the	the	DET
fcis-2242	103	42	enhanced	enhance	VERB
fcis-2242	103	43	image	image	NOUN
fcis-2242	103	44	if	if	SCONJ
fcis-2242	103	45	there	there	PRON
fcis-2242	103	46	is	be	VERB
fcis-2242	103	47	a	a	DET
fcis-2242	103	48	natural	natural	ADJ
fcis-2242	103	49	contrast	contrast	NOUN
fcis-2242	103	50	and	and	CCONJ
fcis-2242	103	51	color	color	NOUN
fcis-2242	103	52	distortion	distortion	NOUN
fcis-2242	103	53	of	of	ADP
fcis-2242	103	54	the	the	DET
fcis-2242	103	55	distortion	distortion	NOUN
fcis-2242	103	56	of	of	ADP
fcis-2242	103	57	phenomenon	phenomenon	NOUN
fcis-2242	103	58	,	,	PUNCT
fcis-2242	103	59	such	such	ADJ
fcis-2242	103	60	as	as	ADP
fcis-2242	103	61	whether	whether	SCONJ
fcis-2242	103	62	to	to	PART
fcis-2242	103	63	retain	retain	VERB
fcis-2242	103	64	the	the	DET
fcis-2242	103	65	original	original	ADJ
fcis-2242	103	66	characteristics	characteristic	NOUN
fcis-2242	103	67	for	for	ADP
fcis-2242	103	68	evaluation	evaluation	NOUN
fcis-2242	103	69	.	.	PUNCT
fcis-2242	104	1	subjective	subjective	ADJ
fcis-2242	104	2	evaluation	evaluation	NOUN
fcis-2242	104	3	lacks	lack	VERB
fcis-2242	104	4	generality	generality	NOUN
fcis-2242	104	5	and	and	CCONJ
fcis-2242	104	6	is	be	AUX
fcis-2242	104	7	easy	easy	ADJ
fcis-2242	104	8	to	to	PART
fcis-2242	104	9	cause	cause	VERB
fcis-2242	104	10	irrational	irrational	ADJ
fcis-2242	104	11	judgment	judgment	NOUN
fcis-2242	104	12	due	due	ADP
fcis-2242	104	13	to	to	ADP
fcis-2242	104	14	cognitive	cognitive	ADJ
fcis-2242	104	15	deviation	deviation	NOUN
fcis-2242	104	16	.	.	PUNCT
fcis-2242	105	1	objective	objective	ADJ
fcis-2242	105	2	quantitative	quantitative	ADJ
fcis-2242	105	3	analysis	analysis	NOUN
fcis-2242	105	4	.	.	PUNCT
fcis-2242	106	1	as	as	ADP
fcis-2242	106	2	an	an	DET
fcis-2242	106	3	objective	objective	ADJ
fcis-2242	106	4	way	way	NOUN
fcis-2242	106	5	to	to	PART
fcis-2242	106	6	evaluate	evaluate	VERB
fcis-2242	106	7	the	the	DET
fcis-2242	106	8	quality	quality	NOUN
fcis-2242	106	9	of	of	ADP
fcis-2242	106	10	the	the	DET
fcis-2242	106	11	enhanced	enhanced	ADJ
fcis-2242	106	12	image	image	NOUN
fcis-2242	106	13	with	with	ADP
fcis-2242	106	14	digital	digital	ADJ
fcis-2242	106	15	features	feature	NOUN
fcis-2242	106	16	as	as	ADP
fcis-2242	106	17	reference	reference	NOUN
fcis-2242	106	18	,	,	PUNCT
fcis-2242	106	19	objective	objective	ADJ
fcis-2242	106	20	evaluation	evaluation	NOUN
fcis-2242	106	21	evaluates	evaluate	VERB
fcis-2242	106	22	the	the	DET
fcis-2242	106	23	91	91	NUM
fcis-2242	106	24	quality	quality	NOUN
fcis-2242	106	25	of	of	ADP
fcis-2242	106	26	the	the	DET
fcis-2242	106	27	enhanced	enhance	VERB
fcis-2242	106	28	image	image	NOUN
fcis-2242	106	29	through	through	ADP
fcis-2242	106	30	digitalization	digitalization	NOUN
fcis-2242	106	31	.	.	PUNCT
fcis-2242	107	1	the	the	DET
fcis-2242	107	2	commonly	commonly	ADV
fcis-2242	107	3	used	use	VERB
fcis-2242	107	4	objective	objective	ADJ
fcis-2242	107	5	evaluation	evaluation	NOUN
fcis-2242	107	6	indicators	indicator	NOUN
fcis-2242	107	7	include	include	VERB
fcis-2242	107	8	information	information	NOUN
fcis-2242	107	9	entropy	entropy	NOUN
fcis-2242	107	10	,	,	PUNCT
fcis-2242	107	11	natural	natural	ADJ
fcis-2242	107	12	image	image	NOUN
fcis-2242	107	13	quality	quality	NOUN
fcis-2242	107	14	evaluator	evaluator	NOUN
fcis-2242	107	15	,	,	PUNCT
fcis-2242	107	16	niqe	niqe	NOUN
fcis-2242	107	17	,	,	PUNCT
fcis-2242	107	18	structural	structural	ADJ
fcis-2242	107	19	similarity	similarity	NOUN
fcis-2242	107	20	index	index	NOUN
fcis-2242	107	21	measure	measure	NOUN
fcis-2242	107	22	(	(	PUNCT
fcis-2242	107	23	ssim	ssim	NOUN
fcis-2242	107	24	)	)	PUNCT
fcis-2242	107	25	and	and	CCONJ
fcis-2242	107	26	peak	peak	NOUN
fcis-2242	107	27	signal	signal	NOUN
fcis-2242	107	28	to	to	PART
fcis-2242	107	29	noise	noise	VERB
fcis-2242	107	30	ratio	ratio	NOUN
fcis-2242	107	31	(	(	PUNCT
fcis-2242	107	32	psnr	psnr	NOUN
fcis-2242	107	33	)	)	PUNCT
fcis-2242	107	34	.	.	PUNCT
fcis-2242	108	1	ie	ie	X
fcis-2242	108	2	reflects	reflect	VERB
fcis-2242	108	3	the	the	DET
fcis-2242	108	4	amount	amount	NOUN
fcis-2242	108	5	of	of	ADP
fcis-2242	108	6	information	information	NOUN
fcis-2242	108	7	carried	carry	VERB
fcis-2242	108	8	by	by	ADP
fcis-2242	108	9	an	an	DET
fcis-2242	108	10	image	image	NOUN
fcis-2242	108	11	.	.	PUNCT
fcis-2242	109	1	the	the	DET
fcis-2242	109	2	larger	large	ADJ
fcis-2242	109	3	ie	ie	PRON
fcis-2242	109	4	value	value	NOUN
fcis-2242	109	5	is	be	AUX
fcis-2242	109	6	,	,	PUNCT
fcis-2242	109	7	the	the	PRON
fcis-2242	109	8	richer	rich	ADJ
fcis-2242	109	9	the	the	DET
fcis-2242	109	10	image	image	NOUN
fcis-2242	109	11	information	information	NOUN
fcis-2242	109	12	is	be	AUX
fcis-2242	109	13	,	,	PUNCT
fcis-2242	109	14	the	the	PRON
fcis-2242	109	15	clearer	clear	ADJ
fcis-2242	109	16	the	the	DET
fcis-2242	109	17	image	image	NOUN
fcis-2242	109	18	is	be	AUX
fcis-2242	109	19	and	and	CCONJ
fcis-2242	109	20	the	the	PRON
fcis-2242	109	21	higher	high	ADJ
fcis-2242	109	22	the	the	DET
fcis-2242	109	23	quality	quality	NOUN
fcis-2242	109	24	is	be	AUX
fcis-2242	109	25	.	.	PUNCT
fcis-2242	110	1	niqe	niqe	PROPN
fcis-2242	110	2	completes	complete	VERB
fcis-2242	110	3	the	the	DET
fcis-2242	110	4	evaluation	evaluation	NOUN
fcis-2242	110	5	of	of	ADP
fcis-2242	110	6	enhanced	enhance	VERB
fcis-2242	110	7	images	image	NOUN
fcis-2242	110	8	by	by	ADP
fcis-2242	110	9	extracting	extract	VERB
fcis-2242	110	10	features	feature	NOUN
fcis-2242	110	11	from	from	ADP
fcis-2242	110	12	natural	natural	ADJ
fcis-2242	110	13	landscapes	landscape	NOUN
fcis-2242	110	14	and	and	CCONJ
fcis-2242	110	15	using	use	VERB
fcis-2242	110	16	a	a	DET
fcis-2242	110	17	multivariate	multivariate	NOUN
fcis-2242	110	18	gaussian	gaussian	ADJ
fcis-2242	110	19	model	model	NOUN
fcis-2242	110	20	to	to	PART
fcis-2242	110	21	describe	describe	VERB
fcis-2242	110	22	the	the	DET
fcis-2242	110	23	features	feature	NOUN
fcis-2242	110	24	.	.	PUNCT
fcis-2242	111	1	the	the	DET
fcis-2242	111	2	smaller	small	ADJ
fcis-2242	111	3	the	the	DET
fcis-2242	111	4	niqe	niqe	NOUN
fcis-2242	111	5	value	value	NOUN
fcis-2242	111	6	is	be	AUX
fcis-2242	111	7	,	,	PUNCT
fcis-2242	111	8	the	the	PRON
fcis-2242	111	9	smaller	small	ADJ
fcis-2242	111	10	the	the	DET
fcis-2242	111	11	gap	gap	NOUN
fcis-2242	111	12	between	between	ADP
fcis-2242	111	13	the	the	DET
fcis-2242	111	14	enhanced	enhanced	ADJ
fcis-2242	111	15	image	image	NOUN
fcis-2242	111	16	and	and	CCONJ
fcis-2242	111	17	the	the	DET
fcis-2242	111	18	normal	normal	ADJ
fcis-2242	111	19	natural	natural	ADJ
fcis-2242	111	20	image	image	NOUN
fcis-2242	111	21	,	,	PUNCT
fcis-2242	111	22	and	and	CCONJ
fcis-2242	111	23	the	the	PRON
fcis-2242	111	24	smaller	small	ADJ
fcis-2242	111	25	the	the	DET
fcis-2242	111	26	image	image	NOUN
fcis-2242	111	27	enhancement	enhancement	NOUN
fcis-2242	111	28	effect	effect	NOUN
fcis-2242	111	29	is	be	AUX
fcis-2242	111	30	.	.	PUNCT
fcis-2242	112	1	psnr	psnr	PROPN
fcis-2242	112	2	is	be	AUX
fcis-2242	112	3	the	the	DET
fcis-2242	112	4	ratio	ratio	NOUN
fcis-2242	112	5	of	of	ADP
fcis-2242	112	6	the	the	DET
fcis-2242	112	7	maximum	maximum	ADJ
fcis-2242	112	8	semaphore	semaphore	NOUN
fcis-2242	112	9	to	to	PART
fcis-2242	112	10	noise	noise	NOUN
fcis-2242	112	11	intensity	intensity	NOUN
fcis-2242	112	12	.	.	PUNCT
fcis-2242	113	1	the	the	PRON
fcis-2242	113	2	larger	large	ADJ
fcis-2242	113	3	the	the	DET
fcis-2242	113	4	value	value	NOUN
fcis-2242	113	5	is	be	AUX
fcis-2242	113	6	,	,	PUNCT
fcis-2242	113	7	the	the	PRON
fcis-2242	113	8	smaller	small	ADJ
fcis-2242	113	9	the	the	DET
fcis-2242	113	10	image	image	NOUN
fcis-2242	113	11	distortion	distortion	NOUN
fcis-2242	113	12	is	be	AUX
fcis-2242	113	13	.	.	PUNCT
fcis-2242	114	1	when	when	SCONJ
fcis-2242	114	2	the	the	DET
fcis-2242	114	3	two	two	NUM
fcis-2242	114	4	images	image	NOUN
fcis-2242	114	5	are	be	AUX
fcis-2242	114	6	almost	almost	ADV
fcis-2242	114	7	the	the	DET
fcis-2242	114	8	same	same	ADJ
fcis-2242	114	9	,	,	PUNCT
fcis-2242	114	10	the	the	DET
fcis-2242	114	11	psnr	psnr	NOUN
fcis-2242	114	12	value	value	NOUN
fcis-2242	114	13	is	be	AUX
fcis-2242	114	14	close	close	ADJ
fcis-2242	114	15	to	to	ADP
fcis-2242	114	16	100	100	NUM
fcis-2242	114	17	.	.	PUNCT
fcis-2242	115	1	ssim	ssim	NOUN
fcis-2242	115	2	mainly	mainly	ADV
fcis-2242	115	3	describes	describe	VERB
fcis-2242	115	4	the	the	DET
fcis-2242	115	5	similarity	similarity	NOUN
fcis-2242	115	6	between	between	ADP
fcis-2242	115	7	images	image	NOUN
fcis-2242	115	8	.	.	PUNCT
fcis-2242	116	1	it	it	PRON
fcis-2242	116	2	uses	use	VERB
fcis-2242	116	3	mean	mean	VERB
fcis-2242	116	4	to	to	PART
fcis-2242	116	5	estimate	estimate	VERB
fcis-2242	116	6	brightness	brightness	NOUN
fcis-2242	116	7	,	,	PUNCT
fcis-2242	116	8	standard	standard	ADJ
fcis-2242	116	9	deviation	deviation	NOUN
fcis-2242	116	10	to	to	PART
fcis-2242	116	11	estimate	estimate	VERB
fcis-2242	116	12	contrast	contrast	NOUN
fcis-2242	116	13	,	,	PUNCT
fcis-2242	116	14	and	and	CCONJ
fcis-2242	116	15	covariance	covariance	NOUN
fcis-2242	116	16	to	to	PART
fcis-2242	116	17	measure	measure	VERB
fcis-2242	116	18	structural	structural	ADJ
fcis-2242	116	19	similarity	similarity	NOUN
fcis-2242	116	20	.	.	PUNCT
fcis-2242	117	1	the	the	DET
fcis-2242	117	2	larger	large	ADJ
fcis-2242	117	3	ssim	ssim	NOUN
fcis-2242	117	4	value	value	NOUN
fcis-2242	117	5	is	be	AUX
fcis-2242	117	6	,	,	PUNCT
fcis-2242	117	7	the	the	PRON
fcis-2242	117	8	better	well	ADJ
fcis-2242	117	9	the	the	DET
fcis-2242	117	10	enhanced	enhanced	ADJ
fcis-2242	117	11	image	image	NOUN
fcis-2242	117	12	effect	effect	NOUN
fcis-2242	117	13	is	be	AUX
fcis-2242	117	14	.	.	PUNCT
fcis-2242	118	1	objective	objective	ADJ
fcis-2242	118	2	evaluation	evaluation	NOUN
fcis-2242	118	3	also	also	ADV
fcis-2242	118	4	has	have	VERB
fcis-2242	118	5	its	its	PRON
fcis-2242	118	6	limitations	limitation	NOUN
fcis-2242	118	7	.	.	PUNCT
fcis-2242	119	1	for	for	ADP
fcis-2242	119	2	example	example	NOUN
fcis-2242	119	3	,	,	PUNCT
fcis-2242	119	4	because	because	SCONJ
fcis-2242	119	5	the	the	DET
fcis-2242	119	6	sensitivity	sensitivity	NOUN
fcis-2242	119	7	of	of	ADP
fcis-2242	119	8	human	human	ADJ
fcis-2242	119	9	vision	vision	NOUN
fcis-2242	119	10	to	to	ADP
fcis-2242	119	11	error	error	NOUN
fcis-2242	119	12	is	be	AUX
fcis-2242	119	13	not	not	PART
fcis-2242	119	14	absolute	absolute	ADJ
fcis-2242	119	15	,	,	PUNCT
fcis-2242	119	16	the	the	DET
fcis-2242	119	17	psnr	psnr	NOUN
fcis-2242	119	18	value	value	NOUN
fcis-2242	119	19	of	of	ADP
fcis-2242	119	20	images	image	NOUN
fcis-2242	119	21	with	with	ADP
fcis-2242	119	22	good	good	ADJ
fcis-2242	119	23	visual	visual	ADJ
fcis-2242	119	24	effect	effect	NOUN
fcis-2242	119	25	may	may	AUX
fcis-2242	119	26	be	be	AUX
fcis-2242	119	27	lower	low	ADJ
fcis-2242	119	28	than	than	ADP
fcis-2242	119	29	that	that	PRON
fcis-2242	119	30	of	of	ADP
fcis-2242	119	31	images	image	NOUN
fcis-2242	119	32	with	with	ADP
fcis-2242	119	33	poor	poor	ADJ
fcis-2242	119	34	visual	visual	ADJ
fcis-2242	119	35	effect	effect	NOUN
fcis-2242	119	36	.	.	PUNCT
fcis-2242	120	1	niqe	niqe	NOUN
fcis-2242	120	2	is	be	AUX
fcis-2242	120	3	a	a	DET
fcis-2242	120	4	global	global	ADJ
fcis-2242	120	5	judgment	judgment	NOUN
fcis-2242	120	6	of	of	ADP
fcis-2242	120	7	the	the	DET
fcis-2242	120	8	image	image	NOUN
fcis-2242	120	9	,	,	PUNCT
fcis-2242	120	10	which	which	PRON
fcis-2242	120	11	can	can	AUX
fcis-2242	120	12	not	not	PART
fcis-2242	120	13	be	be	AUX
fcis-2242	120	14	used	use	VERB
fcis-2242	120	15	for	for	ADP
fcis-2242	120	16	local	local	ADJ
fcis-2242	120	17	quality	quality	NOUN
fcis-2242	120	18	evaluation	evaluation	NOUN
fcis-2242	120	19	.	.	PUNCT
fcis-2242	121	1	high	high	ADJ
fcis-2242	121	2	level	level	NOUN
fcis-2242	121	3	visual	visual	ADJ
fcis-2242	121	4	task	task	NOUN
fcis-2242	121	5	.	.	PUNCT
fcis-2242	122	1	in	in	ADP
fcis-2242	122	2	recent	recent	ADJ
fcis-2242	122	3	years	year	NOUN
fcis-2242	122	4	,	,	PUNCT
fcis-2242	122	5	more	more	ADJ
fcis-2242	122	6	and	and	CCONJ
fcis-2242	122	7	more	more	ADJ
fcis-2242	122	8	researchers	researcher	NOUN
fcis-2242	122	9	have	have	AUX
fcis-2242	122	10	evaluated	evaluate	VERB
fcis-2242	122	11	the	the	DET
fcis-2242	122	12	quality	quality	NOUN
fcis-2242	122	13	of	of	ADP
fcis-2242	122	14	enhanced	enhance	VERB
fcis-2242	122	15	images	image	NOUN
fcis-2242	122	16	by	by	ADP
fcis-2242	122	17	using	use	VERB
fcis-2242	122	18	downstream	downstream	ADJ
fcis-2242	122	19	high	high	ADJ
fcis-2242	122	20	-	-	PUNCT
fcis-2242	122	21	level	level	NOUN
fcis-2242	122	22	visual	visual	ADJ
fcis-2242	122	23	tasks	task	NOUN
fcis-2242	122	24	.	.	PUNCT
fcis-2242	123	1	by	by	ADP
fcis-2242	123	2	inputting	inputte	VERB
fcis-2242	123	3	the	the	DET
fcis-2242	123	4	results	result	NOUN
fcis-2242	123	5	of	of	ADP
fcis-2242	123	6	different	different	ADJ
fcis-2242	123	7	low	low	ADJ
fcis-2242	123	8	-	-	PUNCT
fcis-2242	123	9	light	light	NOUN
fcis-2242	123	10	image	image	NOUN
fcis-2242	123	11	enhancement	enhancement	NOUN
fcis-2242	123	12	methods	method	NOUN
fcis-2242	123	13	into	into	ADP
fcis-2242	123	14	the	the	DET
fcis-2242	123	15	same	same	ADJ
fcis-2242	123	16	face	face	NOUN
fcis-2242	123	17	detection	detection	NOUN
fcis-2242	123	18	model	model	NOUN
fcis-2242	123	19	,	,	PUNCT
fcis-2242	123	20	guo	guo	PROPN
fcis-2242	123	21	et	et	PROPN
fcis-2242	123	22	al	al	PROPN
fcis-2242	123	23	.	.	PROPN
fcis-2242	123	24	studied	study	VERB
fcis-2242	123	25	the	the	DET
fcis-2242	123	26	face	face	NOUN
fcis-2242	123	27	detection	detection	NOUN
fcis-2242	123	28	task	task	NOUN
fcis-2242	123	29	of	of	ADP
fcis-2242	123	30	low	low	ADJ
fcis-2242	123	31	-	-	PUNCT
fcis-2242	123	32	light	light	NOUN
fcis-2242	123	33	image	image	NOUN
fcis-2242	123	34	enhancement	enhancement	NOUN
fcis-2242	123	35	methods	method	NOUN
fcis-2242	123	36	under	under	ADP
fcis-2242	123	37	the	the	DET
fcis-2242	123	38	condition	condition	NOUN
fcis-2242	123	39	of	of	ADP
fcis-2242	123	40	low	low	ADJ
fcis-2242	123	41	illuminance	illuminance	NOUN
fcis-2242	123	42	.	.	PUNCT
fcis-2242	124	1	based	base	VERB
fcis-2242	124	2	on	on	ADP
fcis-2242	124	3	the	the	DET
fcis-2242	124	4	idea	idea	NOUN
fcis-2242	124	5	of	of	ADP
fcis-2242	124	6	"	"	PUNCT
fcis-2242	124	7	enhancement	enhancement	NOUN
fcis-2242	124	8	+	+	CCONJ
fcis-2242	124	9	matching	match	VERB
fcis-2242	124	10	"	"	PUNCT
fcis-2242	124	11	,	,	PUNCT
fcis-2242	124	12	song	song	NOUN
fcis-2242	124	13	et	et	PROPN
fcis-2242	124	14	al	al	PROPN
fcis-2242	124	15	.	.	PROPN
fcis-2242	124	16	took	take	VERB
fcis-2242	124	17	image	image	NOUN
fcis-2242	124	18	matching	match	VERB
fcis-2242	124	19	under	under	ADP
fcis-2242	124	20	low	low	ADJ
fcis-2242	124	21	-	-	PUNCT
fcis-2242	124	22	light	light	NOUN
fcis-2242	124	23	as	as	ADP
fcis-2242	124	24	the	the	DET
fcis-2242	124	25	evaluation	evaluation	NOUN
fcis-2242	124	26	standard	standard	NOUN
fcis-2242	124	27	of	of	ADP
fcis-2242	124	28	image	image	NOUN
fcis-2242	124	29	enhancement	enhancement	NOUN
fcis-2242	124	30	.	.	PUNCT
fcis-2242	125	1	5	5	X
fcis-2242	125	2	.	.	X
fcis-2242	125	3	the	the	DET
fcis-2242	125	4	development	development	NOUN
fcis-2242	125	5	trend	trend	NOUN
fcis-2242	125	6	of	of	ADP
fcis-2242	125	7	image	image	NOUN
fcis-2242	125	8	enhancement	enhancement	NOUN
fcis-2242	125	9	at	at	ADP
fcis-2242	125	10	present	present	ADJ
fcis-2242	125	11	,	,	PUNCT
fcis-2242	125	12	the	the	DET
fcis-2242	125	13	low	low	ADJ
fcis-2242	125	14	-	-	PUNCT
fcis-2242	125	15	light	light	NOUN
fcis-2242	125	16	image	image	NOUN
fcis-2242	125	17	enhancement	enhancement	NOUN
fcis-2242	125	18	field	field	NOUN
fcis-2242	125	19	has	have	AUX
fcis-2242	125	20	gradually	gradually	ADV
fcis-2242	125	21	completed	complete	VERB
fcis-2242	125	22	the	the	DET
fcis-2242	125	23	transformation	transformation	NOUN
fcis-2242	125	24	from	from	ADP
fcis-2242	125	25	traditional	traditional	ADJ
fcis-2242	125	26	enhancement	enhancement	NOUN
fcis-2242	125	27	method	method	NOUN
fcis-2242	125	28	to	to	ADP
fcis-2242	125	29	deep	deep	ADJ
fcis-2242	125	30	learning	learning	NOUN
fcis-2242	125	31	method	method	NOUN
fcis-2242	125	32	.	.	PUNCT
fcis-2242	126	1	in	in	ADP
fcis-2242	126	2	terms	term	NOUN
fcis-2242	126	3	of	of	ADP
fcis-2242	126	4	learning	learn	VERB
fcis-2242	126	5	mechanism	mechanism	NOUN
fcis-2242	126	6	,	,	PUNCT
fcis-2242	126	7	the	the	DET
fcis-2242	126	8	fully	fully	ADV
fcis-2242	126	9	supervised	supervised	ADJ
fcis-2242	126	10	method	method	NOUN
fcis-2242	126	11	requires	require	VERB
fcis-2242	126	12	a	a	DET
fcis-2242	126	13	large	large	ADJ
fcis-2242	126	14	number	number	NOUN
fcis-2242	126	15	of	of	ADP
fcis-2242	126	16	paired	pair	VERB
fcis-2242	126	17	training	training	NOUN
fcis-2242	126	18	samples	sample	NOUN
fcis-2242	126	19	,	,	PUNCT
fcis-2242	126	20	but	but	CCONJ
fcis-2242	126	21	currently	currently	ADV
fcis-2242	126	22	paired	pair	VERB
fcis-2242	126	23	data	data	NOUN
fcis-2242	126	24	resources	resource	NOUN
fcis-2242	126	25	are	be	AUX
fcis-2242	126	26	not	not	PART
fcis-2242	126	27	abundant	abundant	ADJ
fcis-2242	126	28	,	,	PUNCT
fcis-2242	126	29	so	so	SCONJ
fcis-2242	126	30	the	the	DET
fcis-2242	126	31	training	training	NOUN
fcis-2242	126	32	method	method	NOUN
fcis-2242	126	33	is	be	AUX
fcis-2242	126	34	transitioning	transition	VERB
fcis-2242	126	35	from	from	ADP
fcis-2242	126	36	fully	fully	ADV
fcis-2242	126	37	supervised	supervise	VERB
fcis-2242	126	38	to	to	AUX
fcis-2242	126	39	semi	semi	ADV
fcis-2242	126	40	-	-	ADJ
fcis-2242	126	41	supervised	supervised	ADJ
fcis-2242	126	42	and	and	CCONJ
fcis-2242	126	43	unsupervised	unsupervised	ADJ
fcis-2242	126	44	.	.	PUNCT
fcis-2242	127	1	in	in	ADP
fcis-2242	127	2	application	application	NOUN
fcis-2242	127	3	scenarios	scenario	NOUN
fcis-2242	127	4	,	,	PUNCT
fcis-2242	127	5	enhancement	enhancement	NOUN
fcis-2242	127	6	objects	object	NOUN
fcis-2242	127	7	are	be	AUX
fcis-2242	127	8	now	now	ADV
fcis-2242	127	9	being	be	AUX
fcis-2242	127	10	transformed	transform	VERB
fcis-2242	127	11	from	from	ADP
fcis-2242	127	12	simple	simple	ADJ
fcis-2242	127	13	scenes	scene	NOUN
fcis-2242	127	14	to	to	ADP
fcis-2242	127	15	complex	complex	ADJ
fcis-2242	127	16	real	real	ADJ
fcis-2242	127	17	scenes	scene	NOUN
fcis-2242	127	18	.	.	PUNCT
fcis-2242	128	1	in	in	ADP
fcis-2242	128	2	terms	term	NOUN
fcis-2242	128	3	of	of	ADP
fcis-2242	128	4	evaluation	evaluation	NOUN
fcis-2242	128	5	methods	method	NOUN
fcis-2242	128	6	,	,	PUNCT
fcis-2242	128	7	the	the	DET
fcis-2242	128	8	perception	perception	NOUN
fcis-2242	128	9	evaluation	evaluation	NOUN
fcis-2242	128	10	system	system	NOUN
fcis-2242	128	11	based	base	VERB
fcis-2242	128	12	on	on	ADP
fcis-2242	128	13	visual	visual	ADJ
fcis-2242	128	14	quality	quality	NOUN
fcis-2242	128	15	is	be	AUX
fcis-2242	128	16	poor	poor	ADJ
fcis-2242	128	17	in	in	ADP
fcis-2242	128	18	generalization	generalization	NOUN
fcis-2242	128	19	,	,	PUNCT
fcis-2242	128	20	and	and	CCONJ
fcis-2242	128	21	the	the	DET
fcis-2242	128	22	evaluation	evaluation	NOUN
fcis-2242	128	23	criteria	criterion	NOUN
fcis-2242	128	24	of	of	ADP
fcis-2242	128	25	enhanced	enhance	VERB
fcis-2242	128	26	images	image	NOUN
fcis-2242	128	27	are	be	AUX
fcis-2242	128	28	transitioning	transition	VERB
fcis-2242	128	29	from	from	ADP
fcis-2242	128	30	downstream	downstream	ADJ
fcis-2242	128	31	high	high	ADJ
fcis-2242	128	32	-	-	PUNCT
fcis-2242	128	33	level	level	NOUN
fcis-2242	128	34	visual	visual	ADJ
fcis-2242	128	35	tasks	task	NOUN
fcis-2242	128	36	.	.	PUNCT
fcis-2242	129	1	in	in	ADP
fcis-2242	129	2	addition	addition	NOUN
fcis-2242	129	3	,	,	PUNCT
fcis-2242	129	4	to	to	ADP
fcis-2242	129	5	date	date	NOUN
fcis-2242	129	6	,	,	PUNCT
fcis-2242	129	7	most	most	ADJ
fcis-2242	129	8	low	low	ADJ
fcis-2242	129	9	-	-	PUNCT
fcis-2242	129	10	light	light	NOUN
fcis-2242	129	11	enhancement	enhancement	NOUN
fcis-2242	129	12	method	method	NOUN
fcis-2242	129	13	is	be	AUX
fcis-2242	129	14	applied	apply	VERB
fcis-2242	129	15	to	to	ADP
fcis-2242	129	16	the	the	DET
fcis-2242	129	17	image	image	NOUN
fcis-2242	129	18	,	,	PUNCT
fcis-2242	129	19	and	and	CCONJ
fcis-2242	129	20	low	low	ADJ
fcis-2242	129	21	-	-	PUNCT
fcis-2242	129	22	light	light	NOUN
fcis-2242	129	23	video	video	NOUN
fcis-2242	129	24	enhancement	enhancement	NOUN
fcis-2242	129	25	technique	technique	NOUN
fcis-2242	129	26	is	be	AUX
fcis-2242	129	27	based	base	VERB
fcis-2242	129	28	on	on	ADP
fcis-2242	129	29	image	image	NOUN
fcis-2242	129	30	enhancement	enhancement	NOUN
fcis-2242	129	31	,	,	PUNCT
fcis-2242	129	32	in	in	ADP
fcis-2242	129	33	recent	recent	ADJ
fcis-2242	129	34	years	year	NOUN
fcis-2242	129	35	,	,	PUNCT
fcis-2242	129	36	some	some	DET
fcis-2242	129	37	scholars	scholar	NOUN
fcis-2242	129	38	began	begin	VERB
fcis-2242	129	39	to	to	PART
fcis-2242	129	40	study	study	VERB
fcis-2242	129	41	the	the	DET
fcis-2242	129	42	single	single	ADJ
fcis-2242	129	43	frame	frame	NOUN
fcis-2242	129	44	image	image	NOUN
fcis-2242	129	45	enhancement	enhancement	NOUN
fcis-2242	129	46	and	and	CCONJ
fcis-2242	129	47	the	the	DET
fcis-2242	129	48	coherence	coherence	NOUN
fcis-2242	129	49	between	between	ADP
fcis-2242	129	50	two	two	NUM
fcis-2242	129	51	frames	frame	NOUN
fcis-2242	129	52	,	,	PUNCT
fcis-2242	129	53	therefore	therefore	ADV
fcis-2242	129	54	,	,	PUNCT
fcis-2242	129	55	will	will	AUX
fcis-2242	129	56	become	become	VERB
fcis-2242	129	57	low	low	ADJ
fcis-2242	129	58	-	-	PUNCT
fcis-2242	129	59	light	light	NOUN
fcis-2242	129	60	of	of	ADP
fcis-2242	129	61	low	low	ADJ
fcis-2242	129	62	-	-	PUNCT
fcis-2242	129	63	light	light	NOUN
fcis-2242	129	64	video	video	NOUN
fcis-2242	129	65	real	real	ADJ
fcis-2242	129	66	-	-	PUNCT
fcis-2242	129	67	time	time	NOUN
fcis-2242	129	68	enhancement	enhancement	NOUN
fcis-2242	129	69	of	of	ADP
fcis-2242	129	70	the	the	DET
fcis-2242	129	71	direction	direction	NOUN
fcis-2242	129	72	of	of	ADP
fcis-2242	129	73	a	a	DET
fcis-2242	129	74	more	more	ADV
fcis-2242	129	75	challenging	challenging	ADJ
fcis-2242	129	76	.	.	PUNCT
fcis-2242	130	1	in	in	ADP
fcis-2242	130	2	the	the	DET
fcis-2242	130	3	long	long	ADJ
fcis-2242	130	4	run	run	NOUN
fcis-2242	130	5	,	,	PUNCT
fcis-2242	130	6	low	low	ADJ
fcis-2242	130	7	-	-	PUNCT
fcis-2242	130	8	light	light	NOUN
fcis-2242	130	9	image	image	NOUN
fcis-2242	130	10	enhancement	enhancement	NOUN
fcis-2242	130	11	is	be	AUX
fcis-2242	130	12	still	still	ADV
fcis-2242	130	13	worth	worth	ADJ
fcis-2242	130	14	looking	look	VERB
fcis-2242	130	15	forward	forward	ADV
fcis-2242	130	16	to	to	ADP
fcis-2242	130	17	with	with	ADP
fcis-2242	130	18	further	further	ADJ
fcis-2242	130	19	research	research	NOUN
fcis-2242	130	20	.	.	PUNCT
fcis-2242	131	1	acknowledgement	acknowledgement	NOUN
fcis-2242	131	2	this	this	DET
fcis-2242	131	3	work	work	NOUN
fcis-2242	131	4	was	be	AUX
fcis-2242	131	5	financially	financially	ADV
fcis-2242	131	6	finished	finish	VERB
fcis-2242	131	7	by	by	ADP
fcis-2242	131	8	my	my	PRON
fcis-2242	131	9	teacher	teacher	NOUN
fcis-2242	131	10	,	,	PUNCT
fcis-2242	131	11	and	and	CCONJ
fcis-2242	131	12	thanks	thank	NOUN
fcis-2242	131	13	to	to	ADP
fcis-2242	131	14	my	my	PRON
fcis-2242	131	15	classmates	classmate	NOUN
fcis-2242	131	16	for	for	ADP
fcis-2242	131	17	their	their	PRON
fcis-2242	131	18	help	help	NOUN
fcis-2242	131	19	.	.	PUNCT
fcis-2242	132	1	references	reference	NOUN
fcis-2242	132	2	[	[	X
fcis-2242	132	3	1	1	X
fcis-2242	132	4	]	]	PUNCT
fcis-2242	132	5	e.	e.	PROPN
fcis-2242	132	6	p.	p.	PROPN
fcis-2242	132	7	bennett	bennett	PROPN
fcis-2242	132	8	and	and	CCONJ
fcis-2242	132	9	l.	l.	PROPN
fcis-2242	132	10	mcmillan	mcmillan	PROPN
fcis-2242	132	11	,	,	PUNCT
fcis-2242	132	12	“	"	PUNCT
fcis-2242	132	13	video	video	NOUN
fcis-2242	132	14	enhancement	enhancement	NOUN
fcis-2242	132	15	using	using	AUX
fcis-2242	132	16	perpixel	perpixel	ADJ
fcis-2242	132	17	virtual	virtual	ADJ
fcis-2242	132	18	exposures	exposure	NOUN
fcis-2242	132	19	,	,	PUNCT
fcis-2242	132	20	”	"	PUNCT
fcis-2242	132	21	acm	acm	NOUN
fcis-2242	132	22	transactions	transaction	NOUN
fcis-2242	132	23	on	on	ADP
fcis-2242	132	24	graphics	graphic	NOUN
fcis-2242	132	25	,	,	PUNCT
fcis-2242	132	26	2005	2005	NUM
fcis-2242	132	27	,	,	PUNCT
fcis-2242	132	28	pp.845	pp.845	NOUN
fcis-2242	132	29	-	-	PUNCT
fcis-2242	132	30	852	852	NUM
fcis-2242	132	31	.	.	PUNCT
fcis-2242	133	1	[	[	X
fcis-2242	133	2	2	2	NUM
fcis-2242	133	3	]	]	PUNCT
fcis-2242	133	4	q.	q.	PROPN
fcis-2242	133	5	xu	xu	PROPN
fcis-2242	133	6	,	,	PUNCT
fcis-2242	133	7	h.	h.	PROPN
fcis-2242	133	8	jiang	jiang	PROPN
fcis-2242	133	9	,	,	PUNCT
fcis-2242	133	10	r.	r.	PROPN
fcis-2242	133	11	scopigno	scopigno	NOUN
fcis-2242	133	12	and	and	CCONJ
fcis-2242	133	13	m.	m.	NOUN
fcis-2242	133	14	sbert	sbert	PROPN
fcis-2242	133	15	,	,	PUNCT
fcis-2242	133	16	“	"	PUNCT
fcis-2242	133	17	a	a	DET
fcis-2242	133	18	novel	novel	ADJ
fcis-2242	133	19	approach	approach	NOUN
fcis-2242	133	20	for	for	ADP
fcis-2242	133	21	enhancing	enhance	VERB
fcis-2242	133	22	very	very	ADV
fcis-2242	133	23	dark	dark	ADJ
fcis-2242	133	24	image	image	NOUN
fcis-2242	133	25	sequences	sequence	NOUN
fcis-2242	133	26	,	,	PUNCT
fcis-2242	133	27	”	"	PUNCT
fcis-2242	133	28	signal	signal	NOUN
fcis-2242	133	29	processing	processing	NOUN
fcis-2242	133	30	,	,	PUNCT
fcis-2242	133	31	2014	2014	NUM
fcis-2242	133	32	,	,	PUNCT
fcis-2242	133	33	pp.309	pp.309	PROPN
fcis-2242	133	34	-	-	PUNCT
fcis-2242	133	35	330	330	NUM
fcis-2242	133	36	.	.	PUNCT
fcis-2242	134	1	[	[	X
fcis-2242	134	2	3	3	X
fcis-2242	134	3	]	]	X
fcis-2242	134	4	h.	h.	NOUN
fcis-2242	134	5	yeganeh	yeganeh	PROPN
fcis-2242	134	6	,	,	PUNCT
fcis-2242	134	7	a.	a.	NOUN
fcis-2242	134	8	ziaei	ziaei	NOUN
fcis-2242	134	9	and	and	CCONJ
fcis-2242	134	10	a.	a.	NOUN
fcis-2242	134	11	rezaie	rezaie	PROPN
fcis-2242	134	12	,	,	PUNCT
fcis-2242	134	13	“	"	PUNCT
fcis-2242	134	14	a	a	DET
fcis-2242	134	15	novel	novel	ADJ
fcis-2242	134	16	approach	approach	NOUN
fcis-2242	134	17	for	for	ADP
fcis-2242	134	18	contrast	contrast	NOUN
fcis-2242	134	19	enhancement	enhancement	NOUN
fcis-2242	134	20	based	base	VERB
fcis-2242	134	21	on	on	ADP
fcis-2242	134	22	histogram	histogram	NOUN
fcis-2242	134	23	equalization	equalization	NOUN
fcis-2242	134	24	”	"	PUNCT
fcis-2242	134	25	,	,	PUNCT
fcis-2242	134	26	international	international	ADJ
fcis-2242	134	27	conference	conference	NOUN
fcis-2242	134	28	on	on	ADP
fcis-2242	134	29	computer	computer	NOUN
fcis-2242	134	30	&	&	CCONJ
fcis-2242	134	31	communication	communication	PROPN
fcis-2242	134	32	engineering	engineering	NOUN
fcis-2242	134	33	,	,	PUNCT
fcis-2242	134	34	2008	2008	NUM
fcis-2242	134	35	.	.	PUNCT
fcis-2242	135	1	[	[	X
fcis-2242	135	2	4	4	X
fcis-2242	135	3	]	]	PUNCT
fcis-2242	135	4	s.	s.	PROPN
fcis-2242	135	5	m.	m.	PROPN
fcis-2242	135	6	pizer	pizer	PROPN
fcis-2242	135	7	,	,	PUNCT
fcis-2242	135	8	e.	e.	PROPN
fcis-2242	135	9	p.	p.	PROPN
fcis-2242	135	10	amburn	amburn	PROPN
fcis-2242	135	11	,	,	PUNCT
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fcis-2242	135	30	”	"	PUNCT
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fcis-2242	135	32	vision	vision	NOUN
fcis-2242	135	33	graphics	graphic	NOUN
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fcis-2242	135	35	image	image	NOUN
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fcis-2242	135	37	,	,	PUNCT
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fcis-2242	135	39	,	,	PUNCT
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fcis-2242	135	42	368	368	NUM
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fcis-2242	136	2	5	5	X
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fcis-2242	136	24	“	"	PUNCT
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fcis-2242	136	30	equalization	equalization	NOUN
fcis-2242	136	31	:	:	PUNCT
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fcis-2242	136	35	,	,	PUNCT
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fcis-2242	136	41	,	,	PUNCT
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fcis-2242	136	43	.	.	PUNCT
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fcis-2242	137	3	]	]	PUNCT
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fcis-2242	137	19	1997	1997	NUM
fcis-2242	137	20	,	,	PUNCT
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fcis-2242	137	22	:	:	PUNCT
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fcis-2242	138	39	,	,	PUNCT
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fcis-2242	140	3	]	]	PUNCT
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fcis-2242	147	1	[	[	X
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fcis-2242	162	15	and	and	CCONJ
fcis-2242	162	16	z.	z.	PROPN
fcis-2242	162	17	luo	luo	PROPN
fcis-2242	162	18	,	,	PUNCT
fcis-2242	162	19	“	"	PUNCT
fcis-2242	162	20	retinex	retinex	ADJ
fcis-2242	162	21	-	-	PUNCT
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fcis-2242	162	23	unrolling	unrolling	NOUN
fcis-2242	162	24	with	with	ADP
fcis-2242	162	25	cooperative	cooperative	ADJ
fcis-2242	162	26	prior	prior	ADJ
fcis-2242	162	27	architecture	architecture	NOUN
fcis-2242	162	28	search	search	NOUN
fcis-2242	162	29	for	for	ADP
fcis-2242	162	30	lowlight	lowlight	ADJ
fcis-2242	162	31	image	image	NOUN
fcis-2242	162	32	enhancement	enhancement	NOUN
fcis-2242	162	33	,	,	PUNCT
fcis-2242	162	34	”	"	PUNCT
fcis-2242	162	35	computer	computer	NOUN
fcis-2242	162	36	vision	vision	NOUN
fcis-2242	162	37	and	and	CCONJ
fcis-2242	162	38	pattern	pattern	NOUN
fcis-2242	162	39	recognition	recognition	NOUN
fcis-2242	162	40	(	(	PUNCT
fcis-2242	162	41	cvpr	cvpr	NOUN
fcis-2242	162	42	)	)	PUNCT
fcis-2242	162	43	.	.	PUNCT
fcis-2242	163	1	ieee	ieee	PROPN
fcis-2242	163	2	,	,	PUNCT
fcis-2242	163	3	2020	2020	NUM
fcis-2242	163	4	.	.	PUNCT
fcis-2242	164	1	[	[	X
fcis-2242	164	2	26	26	NUM
fcis-2242	164	3	]	]	X
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fcis-2242	164	5	lee	lee	PROPN
fcis-2242	164	6	,	,	PUNCT
fcis-2242	164	7	c.	c.	PROPN
fcis-2242	164	8	lee	lee	PROPN
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fcis-2242	164	10	c.	c.	PROPN
fcis-2242	164	11	s.	s.	PROPN
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fcis-2242	164	13	,	,	PUNCT
fcis-2242	164	14	“	"	PUNCT
fcis-2242	164	15	contrast	contrast	NOUN
fcis-2242	164	16	enhancement	enhancement	NOUN
fcis-2242	164	17	based	base	VERB
fcis-2242	164	18	on	on	ADP
fcis-2242	164	19	layered	layered	ADJ
fcis-2242	164	20	difference	difference	NOUN
fcis-2242	164	21	representation	representation	NOUN
fcis-2242	164	22	,	,	PUNCT
fcis-2242	164	23	”	"	PUNCT
fcis-2242	164	24	image	image	NOUN
fcis-2242	164	25	processing	processing	NOUN
fcis-2242	164	26	,	,	PUNCT
fcis-2242	164	27	2013	2013	NUM
fcis-2242	164	28	,	,	PUNCT
fcis-2242	164	29	pp.965–968	pp.965–968	X
fcis-2242	164	30	.	.	PUNCT
fcis-2242	165	1	[	[	X
fcis-2242	165	2	27	27	NUM
fcis-2242	165	3	]	]	X
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fcis-2242	165	5	ma	ma	PROPN
fcis-2242	165	6	,	,	PUNCT
fcis-2242	165	7	k.	k.	PROPN
fcis-2242	165	8	zeng	zeng	PROPN
fcis-2242	165	9	,	,	PUNCT
fcis-2242	165	10	z.	z.	PROPN
fcis-2242	165	11	wang	wang	PROPN
fcis-2242	165	12	,	,	PUNCT
fcis-2242	165	13	“	"	PUNCT
fcis-2242	165	14	perceptual	perceptual	ADJ
fcis-2242	165	15	quality	quality	NOUN
fcis-2242	165	16	assessment	assessment	NOUN
fcis-2242	165	17	for	for	ADP
fcis-2242	165	18	multi	multi	ADJ
fcis-2242	165	19	-	-	ADJ
fcis-2242	165	20	exposure	exposure	ADJ
fcis-2242	165	21	image	image	NOUN
fcis-2242	165	22	fusion	fusion	NOUN
fcis-2242	165	23	,	,	PUNCT
fcis-2242	165	24	”	"	PUNCT
fcis-2242	165	25	ieee	ieee	NOUN
fcis-2242	165	26	transactions	transaction	NOUN
fcis-2242	165	27	on	on	ADP
fcis-2242	165	28	image	image	NOUN
fcis-2242	165	29	processing	process	VERB
fcis-2242	165	30	a	a	DET
fcis-2242	165	31	publication	publication	NOUN
fcis-2242	165	32	of	of	ADP
fcis-2242	165	33	the	the	DET
fcis-2242	165	34	ieee	ieee	NOUN
fcis-2242	165	35	signal	signal	NOUN
fcis-2242	165	36	processing	processing	NOUN
fcis-2242	165	37	society	society	NOUN
fcis-2242	165	38	,	,	PUNCT
fcis-2242	165	39	2015	2015	NUM
fcis-2242	165	40	.	.	PUNCT
fcis-2242	166	1	[	[	X
fcis-2242	166	2	28	28	NUM
fcis-2242	166	3	]	]	X
fcis-2242	166	4	s.	s.	PROPN
fcis-2242	166	5	wang	wang	PROPN
fcis-2242	166	6	,	,	PUNCT
fcis-2242	166	7	j.	j.	PROPN
fcis-2242	166	8	zheng	zheng	PROPN
fcis-2242	166	9	,	,	PUNCT
fcis-2242	166	10	h.	h.	PROPN
fcis-2242	166	11	m.	m.	PROPN
fcis-2242	166	12	hu	hu	PROPN
fcis-2242	166	13	and	and	CCONJ
fcis-2242	166	14	h.	h.	PROPN
fcis-2242	166	15	li	li	PROPN
fcis-2242	166	16	,	,	PUNCT
fcis-2242	166	17	“	"	PUNCT
fcis-2242	166	18	naturalness	naturalness	NOUN
fcis-2242	166	19	preserved	preserve	VERB
fcis-2242	166	20	enhancement	enhancement	NOUN
fcis-2242	166	21	algorithm	algorithm	NOUN
fcis-2242	166	22	for	for	ADP
fcis-2242	166	23	non	non	ADJ
fcis-2242	166	24	-	-	ADJ
fcis-2242	166	25	uniform	uniform	ADJ
fcis-2242	166	26	illumination	illumination	NOUN
fcis-2242	166	27	images	image	NOUN
fcis-2242	166	28	,	,	PUNCT
fcis-2242	166	29	”	"	PUNCT
fcis-2242	166	30	ieee	ieee	NOUN
fcis-2242	166	31	transactions	transaction	NOUN
fcis-2242	166	32	on	on	ADP
fcis-2242	166	33	image	image	NOUN
fcis-2242	166	34	processing	processing	NOUN
fcis-2242	166	35	:	:	PUNCT
fcis-2242	166	36	a	a	DET
fcis-2242	166	37	publication	publication	NOUN
fcis-2242	166	38	of	of	ADP
fcis-2242	166	39	the	the	DET
fcis-2242	166	40	ieee	ieee	NOUN
fcis-2242	166	41	signal	signal	NOUN
fcis-2242	166	42	processing	processing	NOUN
fcis-2242	166	43	society	society	NOUN
fcis-2242	166	44	,	,	PUNCT
fcis-2242	166	45	2013	2013	NUM
fcis-2242	166	46	,	,	PUNCT
fcis-2242	166	47	pp.38	pp.38	NOUN
fcis-2242	166	48	-	-	PUNCT
fcis-2242	166	49	48	48	NUM
fcis-2242	166	50	.	.	PUNCT
fcis-2242	167	1	[	[	X
fcis-2242	167	2	29	29	NUM
fcis-2242	167	3	]	]	X
fcis-2242	167	4	v.	v.	CCONJ
fcis-2242	167	5	vonikakis	vonikakis	PROPN
fcis-2242	167	6	,	,	PUNCT
fcis-2242	167	7	r.	r.	PROPN
fcis-2242	167	8	kouskouridas	kouskouridas	PROPN
fcis-2242	167	9	and	and	CCONJ
fcis-2242	167	10	a.	a.	NOUN
fcis-2242	167	11	gasteratos	gasterato	NOUN
fcis-2242	167	12	,	,	PUNCT
fcis-2242	167	13	“	"	PUNCT
fcis-2242	167	14	on	on	ADP
fcis-2242	167	15	the	the	DET
fcis-2242	167	16	evaluation	evaluation	NOUN
fcis-2242	167	17	of	of	ADP
fcis-2242	167	18	illumination	illumination	NOUN
fcis-2242	167	19	compensation	compensation	NOUN
fcis-2242	167	20	algorithms	algorithm	NOUN
fcis-2242	167	21	”	"	PUNCT
fcis-2242	167	22	,	,	PUNCT
fcis-2242	167	23	multimed	multime	VERB
fcis-2242	167	24	tools	tool	NOUN
fcis-2242	167	25	appl	appl	NOUN
fcis-2242	167	26	,	,	PUNCT
fcis-2242	167	27	2018	2018	NUM
fcis-2242	167	28	,	,	PUNCT
fcis-2242	167	29	pp.9211–9231	pp.9211–9231	ADV
fcis-2242	167	30	.	.	PUNCT
fcis-2242	168	1	[	[	X
fcis-2242	168	2	30	30	NUM
fcis-2242	168	3	]	]	X
fcis-2242	168	4	b.	b.	PROPN
fcis-2242	168	5	vladimir	vladimir	PROPN
fcis-2242	168	6	,	,	PUNCT
fcis-2242	168	7	p.	p.	PROPN
fcis-2242	168	8	sylvain	sylvain	PROPN
fcis-2242	168	9	,	,	PUNCT
fcis-2242	168	10	c.	c.	PROPN
fcis-2242	168	11	eric	eric	PROPN
fcis-2242	168	12	and	and	CCONJ
fcis-2242	168	13	d.	d.	PROPN
fcis-2242	168	14	fredo	fredo	PROPN
fcis-2242	168	15	,	,	PUNCT
fcis-2242	168	16	“	"	PUNCT
fcis-2242	168	17	learning	learn	VERB
fcis-2242	168	18	photographic	photographic	ADJ
fcis-2242	168	19	global	global	ADJ
fcis-2242	168	20	tonal	tonal	ADJ
fcis-2242	168	21	adjustment	adjustment	NOUN
fcis-2242	168	22	with	with	ADP
fcis-2242	168	23	a	a	DET
fcis-2242	168	24	database	database	NOUN
fcis-2242	168	25	of	of	ADP
fcis-2242	168	26	input	input	NOUN
fcis-2242	168	27	/	/	SYM
fcis-2242	168	28	output	output	NOUN
fcis-2242	168	29	image	image	NOUN
fcis-2242	168	30	pairs	pair	NOUN
fcis-2242	168	31	”	"	PUNCT
fcis-2242	168	32	in	in	ADP
fcis-2242	168	33	cvpr	cvpr	NOUN
fcis-2242	168	34	,	,	PUNCT
fcis-2242	168	35	2011	2011	NUM
fcis-2242	168	36	,	,	PUNCT
fcis-2242	168	37	pp	pp	CCONJ
fcis-2242	168	38	:	:	PUNCT
fcis-2242	168	39	47	47	NUM
fcis-2242	168	40	-	-	SYM
fcis-2242	168	41	54	54	NUM
fcis-2242	168	42	.	.	PUNCT
fcis-2242	169	1	[	[	X
fcis-2242	169	2	31	31	NUM
fcis-2242	169	3	]	]	PUNCT
fcis-2242	169	4	j.	j.	PROPN
fcis-2242	169	5	cai	cai	PROPN
fcis-2242	169	6	,	,	PUNCT
fcis-2242	169	7	s.	s.	PROPN
fcis-2242	169	8	gu	gu	PROPN
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fcis-2242	169	10	l.	l.	PROPN
fcis-2242	169	11	zhang	zhang	PROPN
fcis-2242	169	12	,	,	PUNCT
fcis-2242	169	13	“	"	PUNCT
fcis-2242	169	14	learning	learn	VERB
fcis-2242	169	15	a	a	DET
fcis-2242	169	16	deep	deep	ADJ
fcis-2242	169	17	single	single	ADJ
fcis-2242	169	18	image	image	NOUN
fcis-2242	169	19	contrast	contrast	NOUN
fcis-2242	169	20	enhancer	enhancer	NOUN
fcis-2242	169	21	from	from	ADP
fcis-2242	169	22	multi	multi	ADJ
fcis-2242	169	23	-	-	ADJ
fcis-2242	169	24	exposure	exposure	ADJ
fcis-2242	169	25	images	image	NOUN
fcis-2242	169	26	,	,	PUNCT
fcis-2242	169	27	”	"	PUNCT
fcis-2242	169	28	ieee	ieee	NOUN
fcis-2242	169	29	trans	trans	PROPN
fcis-2242	169	30	image	image	NOUN
fcis-2242	169	31	process	process	NOUN
fcis-2242	169	32	,	,	PUNCT
fcis-2242	169	33	2018	2018	NUM
fcis-2242	169	34	,	,	PUNCT
fcis-2242	169	35	pp.2049–2062	pp.2049–2062	PRON
fcis-2242	169	36	.	.	PUNCT
fcis-2242	170	1	[	[	X
fcis-2242	170	2	32	32	NUM
fcis-2242	170	3	]	]	PUNCT
fcis-2242	170	4	c.	c.	PROPN
fcis-2242	170	5	chen	chen	PROPN
fcis-2242	170	6	,	,	PUNCT
fcis-2242	170	7	q.	q.	PROPN
fcis-2242	170	8	chen	chen	PROPN
fcis-2242	170	9	,	,	PUNCT
fcis-2242	170	10	j.	j.	PROPN
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fcis-2242	170	17	“	"	PUNCT
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fcis-2242	170	19	to	to	PART
fcis-2242	170	20	see	see	VERB
fcis-2242	170	21	in	in	ADP
fcis-2242	170	22	the	the	DET
fcis-2242	170	23	dark	dark	NOUN
fcis-2242	170	24	,	,	PUNCT
fcis-2242	170	25	”	"	PUNCT
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fcis-2242	170	27	vision	vision	NOUN
fcis-2242	170	28	and	and	CCONJ
fcis-2242	170	29	pattern	pattern	NOUN
fcis-2242	170	30	recognition	recognition	NOUN
fcis-2242	170	31	(	(	PUNCT
fcis-2242	170	32	cvpr	cvpr	NOUN
fcis-2242	170	33	)	)	PUNCT
fcis-2242	170	34	,	,	PUNCT
fcis-2242	170	35	2018	2018	NUM
fcis-2242	170	36	,	,	PUNCT
fcis-2242	170	37	pp	pp	ADJ
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fcis-2242	171	1	3291–3300	3291–3300	NUM
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fcis-2242	172	2	33	33	NUM
fcis-2242	172	3	]	]	PUNCT
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fcis-2242	172	5	y.	y.	PROPN
fcis-2242	172	6	li	li	PROPN
fcis-2242	172	7	,	,	PUNCT
fcis-2242	172	8	l.	l.	PROPN
fcis-2242	172	9	c.	c.	PROPN
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fcis-2242	172	11	,	,	PUNCT
fcis-2242	172	12	l.	l.	PROPN
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fcis-2242	172	18	,	,	PUNCT
fcis-2242	172	19	m.	m.	PROPN
fcis-2242	172	20	m.	m.	PROPN
fcis-2242	172	21	cheng	cheng	PROPN
fcis-2242	172	22	,	,	PUNCT
fcis-2242	172	23	j.	j.	PROPN
fcis-2242	172	24	w.	w.	PROPN
fcis-2242	172	25	gu	gu	PROPN
fcis-2242	172	26	et	et	PROPN
fcis-2242	172	27	al	al	PROPN
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fcis-2242	173	1	“	"	PUNCT
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fcis-2242	173	3	-	-	PUNCT
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fcis-2242	173	5	image	image	NOUN
fcis-2242	173	6	and	and	CCONJ
fcis-2242	173	7	video	video	NOUN
fcis-2242	173	8	enhancement	enhancement	NOUN
fcis-2242	173	9	using	use	VERB
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fcis-2242	173	11	learning	learning	NOUN
fcis-2242	173	12	:	:	PUNCT
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fcis-2242	173	14	survey	survey	NOUN
fcis-2242	173	15	,	,	PUNCT
fcis-2242	173	16	”	"	PUNCT
fcis-2242	173	17	2021	2021	NUM
fcis-2242	173	18	.	.	PUNCT
fcis-2242	174	1	[	[	X
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fcis-2242	174	12	,	,	PUNCT
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fcis-2242	174	17	“	"	PUNCT
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fcis-2242	174	19	:	:	PUNCT
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fcis-2242	174	22	neural	neural	ADJ
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fcis-2242	174	25	weakly	weakly	ADJ
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fcis-2242	174	27	image	image	NOUN
fcis-2242	174	28	enhancement	enhancement	NOUN
fcis-2242	174	29	,	,	PUNCT
fcis-2242	174	30	”	"	PUNCT
fcis-2242	174	31	pattern	pattern	NOUN
fcis-2242	174	32	recog	recog	NOUN
fcis-2242	174	33	-	-	PUNCT
fcis-2242	174	34	nition	nition	NOUN
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fcis-2242	174	36	,	,	PUNCT
fcis-2242	174	37	2018	2018	NUM
fcis-2242	174	38	,	,	PUNCT
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fcis-2242	174	40	.	.	PUNCT
fcis-2242	175	1	15–22	15–22	NUM
fcis-2242	175	2	.	.	PUNCT
fcis-2242	176	1	[	[	X
fcis-2242	176	2	35	35	NUM
fcis-2242	176	3	]	]	PUNCT
fcis-2242	176	4	l.	l.	PROPN
fcis-2242	176	5	zhang	zhang	PROPN
fcis-2242	176	6	,	,	PUNCT
fcis-2242	176	7	l.	l.	PROPN
fcis-2242	176	8	zhang	zhang	PROPN
fcis-2242	176	9	,	,	PUNCT
fcis-2242	176	10	x.	x.	PROPN
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fcis-2242	176	12	,	,	PUNCT
fcis-2242	176	13	y.	y.	PROPN
fcis-2242	176	14	shen	shen	PROPN
fcis-2242	176	15	,	,	PUNCT
fcis-2242	176	16	s.	s.	PROPN
fcis-2242	176	17	zhang	zhang	PROPN
fcis-2242	176	18	,	,	PUNCT
fcis-2242	176	19	and	and	CCONJ
fcis-2242	176	20	s.	s.	PROPN
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fcis-2242	176	22	,	,	PUNCT
fcis-2242	176	23	“	"	PUNCT
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fcis-2242	176	25	-	-	PUNCT
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fcis-2242	176	27	restoration	restoration	NOUN
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fcis-2242	176	29	back	back	ADV
fcis-2242	176	30	-	-	PUNCT
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fcis-2242	176	32	images	image	NOUN
fcis-2242	176	33	using	use	VERB
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fcis-2242	176	35	internal	internal	ADJ
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fcis-2242	176	37	,	,	PUNCT
fcis-2242	176	38	”	"	PUNCT
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fcis-2242	176	42	2019	2019	NUM
fcis-2242	176	43	,	,	PUNCT
fcis-2242	176	44	pp	pp	ADJ
fcis-2242	176	45	.	.	PUNCT
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fcis-2242	178	24	“	"	PUNCT
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fcis-2242	178	31	estimation	estimation	NOUN
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fcis-2242	178	35	computer	computer	NOUN
fcis-2242	178	36	vision	vision	NOUN
fcis-2242	178	37	and	and	CCONJ
fcis-2242	178	38	pattern	pattern	NOUN
fcis-2242	178	39	recognition	recognition	NOUN
fcis-2242	178	40	(	(	PUNCT
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fcis-2242	178	42	)	)	PUNCT
fcis-2242	178	43	,	,	PUNCT
fcis-2242	178	44	2019	2019	NUM
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fcis-2242	178	57	y.	y.	PROPN
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fcis-2242	178	60	s.	s.	PROPN
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fcis-2242	178	62	,	,	PUNCT
fcis-2242	178	63	and	and	CCONJ
fcis-2242	178	64	y.	y.	PROPN
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fcis-2242	178	66	,	,	PUNCT
fcis-2242	178	67	“	"	PUNCT
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fcis-2242	178	69	-	-	PUNCT
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fcis-2242	178	71	restoration	restoration	NOUN
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fcis-2242	178	75	via	via	ADP
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fcis-2242	178	77	retinex	retinex	ADJ
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fcis-2242	178	79	,	,	PUNCT
fcis-2242	178	80	”	"	PUNCT
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fcis-2242	178	83	,	,	PUNCT
fcis-2242	178	84	2020	2020	NUM
fcis-2242	178	85	,	,	PUNCT
fcis-2242	178	86	pp	pp	ADV
fcis-2242	178	87	.	.	PUNCT
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fcis-2242	179	2	.	.	PUNCT
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fcis-2242	180	3	]	]	PUNCT
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fcis-2242	180	9	,	,	PUNCT
fcis-2242	180	10	“	"	PUNCT
fcis-2242	180	11	tbefn	tbefn	PROPN
fcis-2242	180	12	:	:	PUNCT
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fcis-2242	180	14	two	two	NUM
fcis-2242	180	15	-	-	PUNCT
fcis-2242	180	16	branch	branch	NOUN
fcis-2242	180	17	exposure	exposure	NOUN
fcis-2242	180	18	-	-	PUNCT
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fcis-2242	180	20	network	network	NOUN
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fcis-2242	180	23	-	-	PUNCT
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fcis-2242	180	26	enhancement	enhancement	NOUN
fcis-2242	180	27	,	,	PUNCT
fcis-2242	180	28	”	"	PUNCT
fcis-2242	180	29	ieee	ieee	NOUN
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fcis-2242	180	33	,	,	PUNCT
fcis-2242	180	34	2020	2020	NUM
fcis-2242	180	35	.	.	PUNCT
fcis-2242	181	1	[	[	X
fcis-2242	181	2	39	39	NUM
fcis-2242	181	3	]	]	PUNCT
fcis-2242	181	4	s.	s.	PROPN
fcis-2242	181	5	lim	lim	PROPN
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fcis-2242	181	7	w.	w.	PROPN
fcis-2242	181	8	kim	kim	PROPN
fcis-2242	181	9	,	,	PUNCT
fcis-2242	181	10	“	"	PUNCT
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fcis-2242	181	12	:	:	PUNCT
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fcis-2242	181	14	stacked	stack	VERB
fcis-2242	181	15	laplacian	laplacian	ADJ
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fcis-2242	181	17	for	for	ADP
fcis-2242	181	18	low	low	ADJ
fcis-2242	181	19	-	-	PUNCT
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fcis-2242	181	21	image	image	NOUN
fcis-2242	181	22	enhancement	enhancement	NOUN
fcis-2242	181	23	,	,	PUNCT
fcis-2242	181	24	”	"	PUNCT
fcis-2242	181	25	ieee	ieee	NOUN
fcis-2242	181	26	transactions	transaction	NOUN
fcis-2242	181	27	on	on	ADP
fcis-2242	181	28	multimedia	multimedia	NOUN
fcis-2242	181	29	,	,	PUNCT
fcis-2242	181	30	2020	2020	NUM
fcis-2242	181	31	.	.	PUNCT
fcis-2242	182	1	[	[	X
fcis-2242	182	2	40	40	NUM
fcis-2242	182	3	]	]	PUNCT
fcis-2242	182	4	w.	w.	PROPN
fcis-2242	182	5	z.	z.	PROPN
fcis-2242	182	6	song	song	PROPN
fcis-2242	182	7	,	,	PUNCT
fcis-2242	182	8	m.	m.	PROPN
fcis-2242	182	9	suganuma	suganuma	PROPN
fcis-2242	182	10	,	,	PUNCT
fcis-2242	182	11	x.	x.	PROPN
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fcis-2242	182	13	,	,	PUNCT
fcis-2242	182	14	n.	n.	PROPN
fcis-2242	182	15	shimobayashi	shimobayashi	PROPN
fcis-2242	182	16	,	,	PUNCT
fcis-2242	182	17	d.	d.	PROPN
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fcis-2242	182	19	,	,	PUNCT
fcis-2242	182	20	t.	t.	PROPN
fcis-2242	182	21	okatani	okatani	PROPN
fcis-2242	182	22	et	et	PROPN
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fcis-2242	182	24	,	,	PUNCT
fcis-2242	182	25	“	"	PUNCT
fcis-2242	182	26	matching	match	VERB
fcis-2242	182	27	in	in	ADP
fcis-2242	182	28	the	the	DET
fcis-2242	182	29	dark	dark	NOUN
fcis-2242	182	30	:	:	PUNCT
fcis-2242	182	31	a	a	DET
fcis-2242	182	32	dataset	dataset	NOUN
fcis-2242	182	33	for	for	ADP
fcis-2242	182	34	matching	match	VERB
fcis-2242	182	35	image	image	NOUN
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fcis-2242	182	39	-	-	PUNCT
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fcis-2242	182	41	scenes	scene	NOUN
fcis-2242	182	42	,	,	PUNCT
fcis-2242	182	43	”	"	PUNCT
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fcis-2242	182	48	,	,	PUNCT
fcis-2242	182	49	2021	2021	NUM
fcis-2242	182	50	.	.	PUNCT