id	sid	tid	token	lemma	pos
ajst-20780	1	1	academic	academic	ADJ
ajst-20780	1	2	journal	journal	NOUN
ajst-20780	1	3	of	of	ADP
ajst-20780	1	4	science	science	NOUN
ajst-20780	1	5	and	and	CCONJ
ajst-20780	1	6	technology	technology	NOUN
ajst-20780	1	7	issn	issn	NOUN
ajst-20780	1	8	:	:	PUNCT
ajst-20780	1	9	2771	2771	NUM
ajst-20780	1	10	-	-	SYM
ajst-20780	1	11	3032	3032	NUM
ajst-20780	1	12	|	|	NOUN
ajst-20780	1	13	vol	vol	NOUN
ajst-20780	1	14	.	.	PROPN
ajst-20780	2	1	10	10	NUM
ajst-20780	2	2	,	,	PUNCT
ajst-20780	2	3	no	no	INTJ
ajst-20780	2	4	.	.	NOUN
ajst-20780	2	5	3	3	NUM
ajst-20780	2	6	,	,	PUNCT
ajst-20780	2	7	2024	2024	NUM
ajst-20780	2	8	54	54	NUM
ajst-20780	2	9	research	research	NOUN
ajst-20780	2	10	on	on	ADP
ajst-20780	2	11	the	the	DET
ajst-20780	2	12	deblurring	deblurre	VERB
ajst-20780	2	13	algorithm	algorithm	NOUN
ajst-20780	2	14	for	for	ADP
ajst-20780	2	15	high	high	ADJ
ajst-20780	2	16	frame	frame	NOUN
ajst-20780	2	17	rate	rate	NOUN
ajst-20780	2	18	cameras	camera	NOUN
ajst-20780	2	19	yi	yi	PROPN
ajst-20780	2	20	wang	wang	PROPN
ajst-20780	2	21	*	*	PROPN
ajst-20780	2	22	xijing	xijing	PROPN
ajst-20780	2	23	university	university	PROPN
ajst-20780	2	24	,	,	PUNCT
ajst-20780	2	25	xi'an	xi'an	PROPN
ajst-20780	2	26	,	,	PUNCT
ajst-20780	2	27	710123	710123	NUM
ajst-20780	2	28	,	,	PUNCT
ajst-20780	2	29	china	china	PROPN
ajst-20780	2	30	*	*	PUNCT
ajst-20780	2	31	corresponding	correspond	VERB
ajst-20780	2	32	author	author	NOUN
ajst-20780	2	33	’s	’s	PART
ajst-20780	2	34	e	e	NOUN
ajst-20780	2	35	-	-	NOUN
ajst-20780	2	36	mail	mail	NOUN
ajst-20780	2	37	:	:	PUNCT
ajst-20780	2	38	iec@xijing.edu.cn	iec@xijing.edu.cn	NOUN
ajst-20780	2	39	abstract	abstract	NOUN
ajst-20780	2	40	:	:	PUNCT
ajst-20780	2	41	with	with	ADP
ajst-20780	2	42	the	the	DET
ajst-20780	2	43	rapid	rapid	ADJ
ajst-20780	2	44	development	development	NOUN
ajst-20780	2	45	of	of	ADP
ajst-20780	2	46	technology	technology	NOUN
ajst-20780	2	47	,	,	PUNCT
ajst-20780	2	48	high	high	ADJ
ajst-20780	2	49	frame	frame	NOUN
ajst-20780	2	50	rate	rate	NOUN
ajst-20780	2	51	cameras	camera	NOUN
ajst-20780	2	52	have	have	AUX
ajst-20780	2	53	been	be	AUX
ajst-20780	2	54	widely	widely	ADV
ajst-20780	2	55	used	use	VERB
ajst-20780	2	56	in	in	ADP
ajst-20780	2	57	various	various	ADJ
ajst-20780	2	58	fields	field	NOUN
ajst-20780	2	59	.	.	PUNCT
ajst-20780	3	1	however	however	ADV
ajst-20780	3	2	,	,	PUNCT
ajst-20780	3	3	due	due	ADP
ajst-20780	3	4	to	to	ADP
ajst-20780	3	5	the	the	DET
ajst-20780	3	6	characteristics	characteristic	NOUN
ajst-20780	3	7	of	of	ADP
ajst-20780	3	8	high	high	ADJ
ajst-20780	3	9	frame	frame	NOUN
ajst-20780	3	10	rate	rate	NOUN
ajst-20780	3	11	cameras	camera	NOUN
ajst-20780	3	12	,	,	PUNCT
ajst-20780	3	13	the	the	DET
ajst-20780	3	14	corresponding	correspond	VERB
ajst-20780	3	15	deblur	deblur	NOUN
ajst-20780	3	16	algorithm	algorithm	PROPN
ajst-20780	3	17	has	have	AUX
ajst-20780	3	18	become	become	VERB
ajst-20780	3	19	the	the	DET
ajst-20780	3	20	focus	focus	NOUN
ajst-20780	3	21	of	of	ADP
ajst-20780	3	22	this	this	DET
ajst-20780	3	23	research	research	NOUN
ajst-20780	3	24	.	.	PUNCT
ajst-20780	4	1	this	this	DET
ajst-20780	4	2	paper	paper	NOUN
ajst-20780	4	3	aims	aim	VERB
ajst-20780	4	4	to	to	PART
ajst-20780	4	5	propose	propose	VERB
ajst-20780	4	6	an	an	DET
ajst-20780	4	7	efficient	efficient	ADJ
ajst-20780	4	8	and	and	CCONJ
ajst-20780	4	9	accurate	accurate	ADJ
ajst-20780	4	10	idea	idea	NOUN
ajst-20780	4	11	to	to	PART
ajst-20780	4	12	improve	improve	VERB
ajst-20780	4	13	the	the	DET
ajst-20780	4	14	imaging	imaging	NOUN
ajst-20780	4	15	quality	quality	NOUN
ajst-20780	4	16	and	and	CCONJ
ajst-20780	4	17	application	application	NOUN
ajst-20780	4	18	performance	performance	NOUN
ajst-20780	4	19	of	of	ADP
ajst-20780	4	20	high	high	ADJ
ajst-20780	4	21	frame	frame	NOUN
ajst-20780	4	22	rate	rate	NOUN
ajst-20780	4	23	cameras	camera	NOUN
ajst-20780	4	24	.	.	PUNCT
ajst-20780	5	1	however	however	ADV
ajst-20780	5	2	,	,	PUNCT
ajst-20780	5	3	the	the	DET
ajst-20780	5	4	current	current	ADJ
ajst-20780	5	5	idea	idea	NOUN
ajst-20780	5	6	still	still	ADV
ajst-20780	5	7	has	have	VERB
ajst-20780	5	8	some	some	DET
ajst-20780	5	9	limitations	limitation	NOUN
ajst-20780	5	10	,	,	PUNCT
ajst-20780	5	11	and	and	CCONJ
ajst-20780	5	12	it	it	PRON
ajst-20780	5	13	is	be	AUX
ajst-20780	5	14	hoped	hope	VERB
ajst-20780	5	15	that	that	SCONJ
ajst-20780	5	16	future	future	ADJ
ajst-20780	5	17	studies	study	NOUN
ajst-20780	5	18	can	can	AUX
ajst-20780	5	19	realize	realize	VERB
ajst-20780	5	20	the	the	DET
ajst-20780	5	21	algorithm	algorithm	NOUN
ajst-20780	5	22	optimization	optimization	NOUN
ajst-20780	5	23	and	and	CCONJ
ajst-20780	5	24	improve	improve	VERB
ajst-20780	5	25	the	the	DET
ajst-20780	5	26	practicality	practicality	NOUN
ajst-20780	5	27	and	and	CCONJ
ajst-20780	5	28	performance	performance	NOUN
ajst-20780	5	29	of	of	ADP
ajst-20780	5	30	the	the	DET
ajst-20780	5	31	algorithm	algorithm	NOUN
ajst-20780	5	32	to	to	PART
ajst-20780	5	33	provide	provide	VERB
ajst-20780	5	34	better	well	ADJ
ajst-20780	5	35	support	support	NOUN
ajst-20780	5	36	for	for	ADP
ajst-20780	5	37	the	the	DET
ajst-20780	5	38	application	application	NOUN
ajst-20780	5	39	of	of	ADP
ajst-20780	5	40	high	high	ADJ
ajst-20780	5	41	frame	frame	NOUN
ajst-20780	5	42	rate	rate	NOUN
ajst-20780	5	43	cameras	camera	NOUN
ajst-20780	5	44	.	.	PUNCT
ajst-20780	6	1	keywords	keyword	NOUN
ajst-20780	6	2	:	:	PUNCT
ajst-20780	6	3	high	high	ADJ
ajst-20780	6	4	frame	frame	NOUN
ajst-20780	6	5	rate	rate	NOUN
ajst-20780	6	6	camera	camera	NOUN
ajst-20780	6	7	,	,	PUNCT
ajst-20780	6	8	deblurring	deblurre	VERB
ajst-20780	6	9	algorithm	algorithm	NOUN
ajst-20780	6	10	,	,	PUNCT
ajst-20780	6	11	research	research	NOUN
ajst-20780	6	12	.	.	PUNCT
ajst-20780	7	1	1	1	X
ajst-20780	7	2	.	.	X
ajst-20780	7	3	introduction	introduction	NOUN
ajst-20780	7	4	the	the	DET
ajst-20780	7	5	high	high	ADJ
ajst-20780	7	6	frame	frame	NOUN
ajst-20780	7	7	rate	rate	NOUN
ajst-20780	7	8	camera	camera	NOUN
ajst-20780	7	9	can	can	AUX
ajst-20780	7	10	capture	capture	VERB
ajst-20780	7	11	more	more	ADJ
ajst-20780	7	12	image	image	NOUN
ajst-20780	7	13	information	information	NOUN
ajst-20780	7	14	at	at	ADP
ajst-20780	7	15	a	a	DET
ajst-20780	7	16	higher	high	ADJ
ajst-20780	7	17	sampling	sampling	NOUN
ajst-20780	7	18	frequency	frequency	NOUN
ajst-20780	7	19	,	,	PUNCT
ajst-20780	7	20	thus	thus	ADV
ajst-20780	7	21	providing	provide	VERB
ajst-20780	7	22	more	more	ADV
ajst-20780	7	23	accurate	accurate	ADJ
ajst-20780	7	24	image	image	NOUN
ajst-20780	7	25	processing	processing	NOUN
ajst-20780	7	26	results	result	NOUN
ajst-20780	7	27	and	and	CCONJ
ajst-20780	7	28	position	position	NOUN
ajst-20780	7	29	solution	solution	NOUN
ajst-20780	7	30	results.[1	results.[1	NUM
ajst-20780	7	31	]	]	PUNCT
ajst-20780	7	32	however	however	ADV
ajst-20780	7	33	,	,	PUNCT
ajst-20780	7	34	achieving	achieve	VERB
ajst-20780	7	35	a	a	DET
ajst-20780	7	36	high	high	ADJ
ajst-20780	7	37	frame	frame	NOUN
ajst-20780	7	38	rate	rate	NOUN
ajst-20780	7	39	camera	camera	NOUN
ajst-20780	7	40	is	be	AUX
ajst-20780	7	41	not	not	PART
ajst-20780	7	42	easy	easy	ADJ
ajst-20780	7	43	.	.	PUNCT
ajst-20780	8	1	the	the	DET
ajst-20780	8	2	sampling	sample	VERB
ajst-20780	8	3	frequency	frequency	NOUN
ajst-20780	8	4	is	be	AUX
ajst-20780	8	5	usually	usually	ADV
ajst-20780	8	6	related	relate	VERB
ajst-20780	8	7	to	to	ADP
ajst-20780	8	8	its	its	PRON
ajst-20780	8	9	hardware	hardware	NOUN
ajst-20780	8	10	,	,	PUNCT
ajst-20780	8	11	so	so	ADV
ajst-20780	8	12	cameras	camera	NOUN
ajst-20780	8	13	with	with	ADP
ajst-20780	8	14	high	high	ADJ
ajst-20780	8	15	sampling	sampling	NOUN
ajst-20780	8	16	frequency	frequency	NOUN
ajst-20780	8	17	are	be	AUX
ajst-20780	8	18	more	more	ADV
ajst-20780	8	19	demanding	demanding	ADJ
ajst-20780	8	20	and	and	CCONJ
ajst-20780	8	21	more	more	ADV
ajst-20780	8	22	expensive	expensive	ADJ
ajst-20780	8	23	.	.	PUNCT
ajst-20780	9	1	moreover	moreover	ADV
ajst-20780	9	2	,	,	PUNCT
ajst-20780	9	3	high	high	ADJ
ajst-20780	9	4	frame	frame	NOUN
ajst-20780	9	5	rate	rate	NOUN
ajst-20780	9	6	cameras	camera	NOUN
ajst-20780	9	7	require	require	VERB
ajst-20780	9	8	more	more	ADJ
ajst-20780	9	9	memory	memory	NOUN
ajst-20780	9	10	space	space	NOUN
ajst-20780	9	11	to	to	PART
ajst-20780	9	12	store	store	VERB
ajst-20780	9	13	the	the	DET
ajst-20780	9	14	sampled	sample	VERB
ajst-20780	9	15	data	datum	NOUN
ajst-20780	9	16	,	,	PUNCT
ajst-20780	9	17	which	which	PRON
ajst-20780	9	18	burdens	burden	VERB
ajst-20780	9	19	the	the	DET
ajst-20780	9	20	processor	processor	NOUN
ajst-20780	9	21	and	and	CCONJ
ajst-20780	9	22	affects	affect	VERB
ajst-20780	9	23	other	other	ADJ
ajst-20780	9	24	parallel	parallel	ADJ
ajst-20780	9	25	operations	operation	NOUN
ajst-20780	9	26	of	of	ADP
ajst-20780	9	27	the	the	DET
ajst-20780	9	28	system	system	NOUN
ajst-20780	9	29	.	.	PUNCT
ajst-20780	10	1	through	through	ADP
ajst-20780	10	2	the	the	DET
ajst-20780	10	3	development	development	NOUN
ajst-20780	10	4	of	of	ADP
ajst-20780	10	5	open	open	ADJ
ajst-20780	10	6	ultrasound	ultrasound	NOUN
ajst-20780	10	7	research	research	NOUN
ajst-20780	10	8	platform	platform	NOUN
ajst-20780	10	9	(	(	PUNCT
ajst-20780	10	10	verasonics	verasonic	NOUN
ajst-20780	10	11	vantage256	vantage256	PROPN
ajst-20780	10	12	platform	platform	NOUN
ajst-20780	10	13	)	)	PUNCT
ajst-20780	10	14	for	for	ADP
ajst-20780	10	15	high	high	ADJ
ajst-20780	10	16	frame	frame	NOUN
ajst-20780	10	17	rate	rate	NOUN
ajst-20780	10	18	imaging	imaging	NOUN
ajst-20780	10	19	algorithm,[2	algorithm,[2	PROPN
ajst-20780	10	20	]	]	PUNCT
ajst-20780	10	21	this	this	DET
ajst-20780	10	22	paper	paper	NOUN
ajst-20780	10	23	aims	aim	VERB
ajst-20780	10	24	to	to	PART
ajst-20780	10	25	apply	apply	VERB
ajst-20780	10	26	a	a	DET
ajst-20780	10	27	variety	variety	NOUN
ajst-20780	10	28	of	of	ADP
ajst-20780	10	29	quasi	quasi	ADJ
ajst-20780	10	30	-	-	ADJ
ajst-20780	10	31	static	static	ADJ
ajst-20780	10	32	elastography	elastography	NOUN
ajst-20780	10	33	algorithm	algorithm	NOUN
ajst-20780	10	34	to	to	ADP
ajst-20780	10	35	vascular	vascular	ADJ
ajst-20780	10	36	imitation	imitation	NOUN
ajst-20780	10	37	and	and	CCONJ
ajst-20780	10	38	clinical	clinical	ADJ
ajst-20780	10	39	atherosclerosis	atherosclerosis	NOUN
ajst-20780	10	40	patients	patient	NOUN
ajst-20780	10	41	,	,	PUNCT
ajst-20780	10	42	to	to	PART
ajst-20780	10	43	explore	explore	VERB
ajst-20780	10	44	the	the	DET
ajst-20780	10	45	method	method	NOUN
ajst-20780	10	46	of	of	ADP
ajst-20780	10	47	high	high	ADJ
ajst-20780	10	48	frame	frame	NOUN
ajst-20780	10	49	rate	rate	NOUN
ajst-20780	10	50	imaging	imaging	NOUN
ajst-20780	10	51	algorithm	algorithm	NOUN
ajst-20780	10	52	combined	combine	VERB
ajst-20780	10	53	with	with	ADP
ajst-20780	10	54	elastography	elastography	NOUN
ajst-20780	10	55	in	in	ADP
ajst-20780	10	56	the	the	DET
ajst-20780	10	57	application	application	NOUN
ajst-20780	10	58	of	of	ADP
ajst-20780	10	59	atherosclerotic	atherosclerotic	ADJ
ajst-20780	10	60	plaque	plaque	NOUN
ajst-20780	10	61	measurement	measurement	NOUN
ajst-20780	10	62	.	.	PUNCT
ajst-20780	11	1	by	by	ADP
ajst-20780	11	2	solving	solve	VERB
ajst-20780	11	3	the	the	DET
ajst-20780	11	4	problems	problem	NOUN
ajst-20780	11	5	of	of	ADP
ajst-20780	11	6	the	the	DET
ajst-20780	11	7	existing	exist	VERB
ajst-20780	11	8	demuring	demuring	NOUN
ajst-20780	11	9	algorithms	algorithm	NOUN
ajst-20780	11	10	,	,	PUNCT
ajst-20780	11	11	this	this	DET
ajst-20780	11	12	study	study	NOUN
ajst-20780	11	13	is	be	AUX
ajst-20780	11	14	expected	expect	VERB
ajst-20780	11	15	to	to	PART
ajst-20780	11	16	provide	provide	VERB
ajst-20780	11	17	better	well	ADJ
ajst-20780	11	18	solutions	solution	NOUN
ajst-20780	11	19	for	for	ADP
ajst-20780	11	20	the	the	DET
ajst-20780	11	21	practical	practical	ADJ
ajst-20780	11	22	application	application	NOUN
ajst-20780	11	23	of	of	ADP
ajst-20780	11	24	high	high	ADJ
ajst-20780	11	25	frame	frame	NOUN
ajst-20780	11	26	rate	rate	NOUN
ajst-20780	11	27	cameras	camera	NOUN
ajst-20780	11	28	and	and	CCONJ
ajst-20780	11	29	promote	promote	VERB
ajst-20780	11	30	the	the	DET
ajst-20780	11	31	development	development	NOUN
ajst-20780	11	32	of	of	ADP
ajst-20780	11	33	related	related	ADJ
ajst-20780	11	34	fields	field	NOUN
ajst-20780	11	35	.	.	PUNCT
ajst-20780	12	1	2	2	X
ajst-20780	12	2	.	.	X
ajst-20780	12	3	high	high	ADJ
ajst-20780	12	4	frame	frame	NOUN
ajst-20780	12	5	rate	rate	NOUN
ajst-20780	12	6	camera	camera	NOUN
ajst-20780	12	7	and	and	CCONJ
ajst-20780	12	8	its	its	PRON
ajst-20780	12	9	blur	blur	ADJ
ajst-20780	12	10	problem	problem	NOUN
ajst-20780	12	11	2.1	2.1	NUM
ajst-20780	12	12	.	.	PUNCT
ajst-20780	13	1	how	how	SCONJ
ajst-20780	13	2	the	the	DET
ajst-20780	13	3	high	high	ADJ
ajst-20780	13	4	-	-	PUNCT
ajst-20780	13	5	frame	frame	NOUN
ajst-20780	13	6	-	-	PUNCT
ajst-20780	13	7	rate	rate	NOUN
ajst-20780	13	8	cameras	camera	NOUN
ajst-20780	13	9	work	work	VERB
ajst-20780	13	10	high	high	ADJ
ajst-20780	13	11	frame	frame	NOUN
ajst-20780	13	12	rate	rate	NOUN
ajst-20780	13	13	camera	camera	NOUN
ajst-20780	13	14	is	be	AUX
ajst-20780	13	15	a	a	DET
ajst-20780	13	16	special	special	ADJ
ajst-20780	13	17	camera	camera	NOUN
ajst-20780	13	18	device	device	NOUN
ajst-20780	13	19	designed	design	VERB
ajst-20780	13	20	to	to	PART
ajst-20780	13	21	capture	capture	VERB
ajst-20780	13	22	the	the	DET
ajst-20780	13	23	details	detail	NOUN
ajst-20780	13	24	of	of	ADP
ajst-20780	13	25	high	high	ADJ
ajst-20780	13	26	-	-	PUNCT
ajst-20780	13	27	speed	speed	NOUN
ajst-20780	13	28	motion	motion	NOUN
ajst-20780	13	29	.	.	PUNCT
ajst-20780	14	1	it	it	PRON
ajst-20780	14	2	uses	use	VERB
ajst-20780	14	3	highframe	highframe	ADJ
ajst-20780	14	4	-	-	PUNCT
ajst-20780	14	5	rate	rate	NOUN
ajst-20780	14	6	acquisition	acquisition	NOUN
ajst-20780	14	7	technology	technology	NOUN
ajst-20780	14	8	to	to	PART
ajst-20780	14	9	record	record	VERB
ajst-20780	14	10	images	image	NOUN
ajst-20780	14	11	at	at	ADP
ajst-20780	14	12	thousands	thousand	NOUN
ajst-20780	14	13	of	of	ADP
ajst-20780	14	14	frames	frame	NOUN
ajst-20780	14	15	per	per	ADP
ajst-20780	14	16	second	second	NOUN
ajst-20780	14	17	.	.	PUNCT
ajst-20780	15	1	the	the	DET
ajst-20780	15	2	cameras	camera	NOUN
ajst-20780	15	3	are	be	AUX
ajst-20780	15	4	typically	typically	ADV
ajst-20780	15	5	equipped	equip	VERB
ajst-20780	15	6	with	with	ADP
ajst-20780	15	7	high	high	ADJ
ajst-20780	15	8	-	-	PUNCT
ajst-20780	15	9	speed	speed	NOUN
ajst-20780	15	10	readouts	readout	NOUN
ajst-20780	15	11	and	and	CCONJ
ajst-20780	15	12	mass	mass	NOUN
ajst-20780	15	13	memory	memory	NOUN
ajst-20780	15	14	to	to	PART
ajst-20780	15	15	ensure	ensure	VERB
ajst-20780	15	16	that	that	SCONJ
ajst-20780	15	17	a	a	DET
ajst-20780	15	18	large	large	ADJ
ajst-20780	15	19	number	number	NOUN
ajst-20780	15	20	of	of	ADP
ajst-20780	15	21	images	image	NOUN
ajst-20780	15	22	can	can	AUX
ajst-20780	15	23	be	be	AUX
ajst-20780	15	24	captured	capture	VERB
ajst-20780	15	25	in	in	ADP
ajst-20780	15	26	a	a	DET
ajst-20780	15	27	short	short	ADJ
ajst-20780	15	28	time	time	NOUN
ajst-20780	15	29	frame	frame	NOUN
ajst-20780	15	30	.	.	PUNCT
ajst-20780	16	1	in	in	ADP
ajst-20780	16	2	high	high	ADJ
ajst-20780	16	3	frame	frame	NOUN
ajst-20780	16	4	rate	rate	NOUN
ajst-20780	16	5	cameras	camera	NOUN
ajst-20780	16	6	,	,	PUNCT
ajst-20780	16	7	optical	optical	ADJ
ajst-20780	16	8	components	component	NOUN
ajst-20780	16	9	play	play	VERB
ajst-20780	16	10	a	a	DET
ajst-20780	16	11	key	key	ADJ
ajst-20780	16	12	role	role	NOUN
ajst-20780	16	13	.	.	PUNCT
ajst-20780	17	1	typically	typically	ADV
ajst-20780	17	2	,	,	PUNCT
ajst-20780	17	3	the	the	DET
ajst-20780	17	4	camera	camera	NOUN
ajst-20780	17	5	uses	use	VERB
ajst-20780	17	6	the	the	DET
ajst-20780	17	7	shutter	shutter	NOUN
ajst-20780	17	8	to	to	PART
ajst-20780	17	9	control	control	VERB
ajst-20780	17	10	the	the	DET
ajst-20780	17	11	time	time	NOUN
ajst-20780	17	12	the	the	DET
ajst-20780	17	13	light	light	NOUN
ajst-20780	17	14	gets	get	VERB
ajst-20780	17	15	into	into	ADP
ajst-20780	17	16	the	the	DET
ajst-20780	17	17	lens	len	NOUN
ajst-20780	17	18	,	,	PUNCT
ajst-20780	17	19	which	which	PRON
ajst-20780	17	20	enables	enable	VERB
ajst-20780	17	21	precise	precise	ADJ
ajst-20780	17	22	exposure	exposure	NOUN
ajst-20780	17	23	control	control	NOUN
ajst-20780	17	24	.	.	PUNCT
ajst-20780	18	1	however	however	ADV
ajst-20780	18	2	,	,	PUNCT
ajst-20780	18	3	with	with	ADP
ajst-20780	18	4	high	high	ADJ
ajst-20780	18	5	-	-	PUNCT
ajst-20780	18	6	speed	speed	NOUN
ajst-20780	18	7	motion	motion	NOUN
ajst-20780	18	8	,	,	PUNCT
ajst-20780	18	9	the	the	DET
ajst-20780	18	10	duration	duration	NOUN
ajst-20780	18	11	of	of	ADP
ajst-20780	18	12	light	light	NOUN
ajst-20780	18	13	is	be	AUX
ajst-20780	18	14	so	so	ADV
ajst-20780	18	15	short	short	ADJ
ajst-20780	18	16	that	that	SCONJ
ajst-20780	18	17	the	the	DET
ajst-20780	18	18	traditional	traditional	ADJ
ajst-20780	18	19	shutter	shutter	NOUN
ajst-20780	18	20	can	can	AUX
ajst-20780	18	21	not	not	PART
ajst-20780	18	22	meet	meet	VERB
ajst-20780	18	23	the	the	DET
ajst-20780	18	24	demand	demand	NOUN
ajst-20780	18	25	.	.	PUNCT
ajst-20780	19	1	as	as	ADP
ajst-20780	19	2	a	a	DET
ajst-20780	19	3	result	result	NOUN
ajst-20780	19	4	,	,	PUNCT
ajst-20780	19	5	high	high	ADJ
ajst-20780	19	6	-	-	PUNCT
ajst-20780	19	7	frame	frame	NOUN
ajst-20780	19	8	-	-	PUNCT
ajst-20780	19	9	rate	rate	NOUN
ajst-20780	19	10	cameras	camera	NOUN
ajst-20780	19	11	often	often	ADV
ajst-20780	19	12	use	use	VERB
ajst-20780	19	13	global	global	ADJ
ajst-20780	19	14	shutter	shutter	NOUN
ajst-20780	19	15	or	or	CCONJ
ajst-20780	19	16	motion	motion	NOUN
ajst-20780	19	17	compensation	compensation	NOUN
ajst-20780	19	18	techniques	technique	NOUN
ajst-20780	19	19	to	to	PART
ajst-20780	19	20	ensure	ensure	VERB
ajst-20780	19	21	that	that	SCONJ
ajst-20780	19	22	every	every	DET
ajst-20780	19	23	frame	frame	NOUN
ajst-20780	19	24	accurately	accurately	ADV
ajst-20780	19	25	captures	capture	VERB
ajst-20780	19	26	the	the	DET
ajst-20780	19	27	details	detail	NOUN
ajst-20780	19	28	of	of	ADP
ajst-20780	19	29	the	the	DET
ajst-20780	19	30	motion	motion	NOUN
ajst-20780	19	31	.	.	PUNCT
ajst-20780	20	1	in	in	ADP
ajst-20780	20	2	addition	addition	NOUN
ajst-20780	20	3	to	to	ADP
ajst-20780	20	4	the	the	DET
ajst-20780	20	5	optical	optical	ADJ
ajst-20780	20	6	components	component	NOUN
ajst-20780	20	7	,	,	PUNCT
ajst-20780	20	8	the	the	DET
ajst-20780	20	9	high	high	ADJ
ajst-20780	20	10	-	-	PUNCT
ajst-20780	20	11	frame	frame	NOUN
ajst-20780	20	12	-	-	PUNCT
ajst-20780	20	13	rate	rate	NOUN
ajst-20780	20	14	cameras	camera	NOUN
ajst-20780	20	15	also	also	ADV
ajst-20780	20	16	have	have	VERB
ajst-20780	20	17	high	high	ADJ
ajst-20780	20	18	-	-	PUNCT
ajst-20780	20	19	speed	speed	NOUN
ajst-20780	20	20	image	image	NOUN
ajst-20780	20	21	sensors	sensor	NOUN
ajst-20780	20	22	.	.	PUNCT
ajst-20780	21	1	such	such	ADJ
ajst-20780	21	2	sensors	sensor	NOUN
ajst-20780	21	3	can	can	AUX
ajst-20780	21	4	quickly	quickly	ADV
ajst-20780	21	5	read	read	VERB
ajst-20780	21	6	and	and	CCONJ
ajst-20780	21	7	convert	convert	VERB
ajst-20780	21	8	the	the	DET
ajst-20780	21	9	optical	optical	ADJ
ajst-20780	21	10	signal	signal	NOUN
ajst-20780	21	11	to	to	ADP
ajst-20780	21	12	electrical	electrical	ADJ
ajst-20780	21	13	signals	signal	NOUN
ajst-20780	21	14	.	.	PUNCT
ajst-20780	22	1	the	the	DET
ajst-20780	22	2	frame	frame	NOUN
ajst-20780	22	3	rate	rate	NOUN
ajst-20780	22	4	of	of	ADP
ajst-20780	22	5	the	the	DET
ajst-20780	22	6	camera	camera	NOUN
ajst-20780	22	7	depends	depend	VERB
ajst-20780	22	8	on	on	ADP
ajst-20780	22	9	the	the	DET
ajst-20780	22	10	working	work	VERB
ajst-20780	22	11	speed	speed	NOUN
ajst-20780	22	12	of	of	ADP
ajst-20780	22	13	the	the	DET
ajst-20780	22	14	sensor	sensor	NOUN
ajst-20780	22	15	,	,	PUNCT
ajst-20780	22	16	and	and	CCONJ
ajst-20780	22	17	the	the	PRON
ajst-20780	22	18	faster	fast	ADV
ajst-20780	22	19	the	the	DET
ajst-20780	22	20	sensor	sensor	NOUN
ajst-20780	22	21	,	,	PUNCT
ajst-20780	22	22	the	the	PRON
ajst-20780	22	23	higher	high	ADJ
ajst-20780	22	24	the	the	DET
ajst-20780	22	25	frame	frame	NOUN
ajst-20780	22	26	rate	rate	NOUN
ajst-20780	22	27	of	of	ADP
ajst-20780	22	28	the	the	DET
ajst-20780	22	29	camera	camera	NOUN
ajst-20780	22	30	.	.	PUNCT
ajst-20780	23	1	today	today	NOUN
ajst-20780	23	2	,	,	PUNCT
ajst-20780	23	3	some	some	DET
ajst-20780	23	4	advanced	advanced	ADJ
ajst-20780	23	5	high	high	ADJ
ajst-20780	23	6	-	-	PUNCT
ajst-20780	23	7	framerate	framerate	NOUN
ajst-20780	23	8	cameras	camera	NOUN
ajst-20780	23	9	can	can	AUX
ajst-20780	23	10	even	even	ADV
ajst-20780	23	11	reach	reach	VERB
ajst-20780	23	12	tens	ten	NOUN
ajst-20780	23	13	of	of	ADP
ajst-20780	23	14	thousands	thousand	NOUN
ajst-20780	23	15	of	of	ADP
ajst-20780	23	16	frames	frame	NOUN
ajst-20780	23	17	per	per	ADP
ajst-20780	23	18	second	second	NOUN
ajst-20780	23	19	.	.	PUNCT
ajst-20780	24	1	in	in	ADP
ajst-20780	24	2	addition	addition	NOUN
ajst-20780	24	3	,	,	PUNCT
ajst-20780	24	4	high	high	ADJ
ajst-20780	24	5	frame	frame	NOUN
ajst-20780	24	6	rate	rate	NOUN
ajst-20780	24	7	cameras	camera	NOUN
ajst-20780	24	8	need	need	VERB
ajst-20780	24	9	to	to	PART
ajst-20780	24	10	have	have	VERB
ajst-20780	24	11	mass	mass	ADJ
ajst-20780	24	12	storage	storage	NOUN
ajst-20780	24	13	to	to	PART
ajst-20780	24	14	save	save	VERB
ajst-20780	24	15	a	a	DET
ajst-20780	24	16	large	large	ADJ
ajst-20780	24	17	number	number	NOUN
ajst-20780	24	18	of	of	ADP
ajst-20780	24	19	captured	capture	VERB
ajst-20780	24	20	images	image	NOUN
ajst-20780	24	21	.	.	PUNCT
ajst-20780	25	1	the	the	DET
ajst-20780	25	2	memory	memory	NOUN
ajst-20780	25	3	of	of	ADP
ajst-20780	25	4	high	high	ADJ
ajst-20780	25	5	-	-	PUNCT
ajst-20780	25	6	frame	frame	NOUN
ajst-20780	25	7	-	-	PUNCT
ajst-20780	25	8	rate	rate	NOUN
ajst-20780	25	9	cameras	camera	NOUN
ajst-20780	25	10	can	can	AUX
ajst-20780	25	11	store	store	VERB
ajst-20780	25	12	hundreds	hundred	NOUN
ajst-20780	25	13	to	to	PART
ajst-20780	25	14	thousands	thousand	NOUN
ajst-20780	25	15	of	of	ADP
ajst-20780	25	16	images	image	NOUN
ajst-20780	25	17	,	,	PUNCT
ajst-20780	25	18	which	which	PRON
ajst-20780	25	19	means	mean	VERB
ajst-20780	25	20	that	that	SCONJ
ajst-20780	25	21	this	this	DET
ajst-20780	25	22	article	article	NOUN
ajst-20780	25	23	can	can	AUX
ajst-20780	25	24	do	do	VERB
ajst-20780	25	25	more	more	ADV
ajst-20780	25	26	careful	careful	ADJ
ajst-20780	25	27	analysis	analysis	NOUN
ajst-20780	25	28	and	and	CCONJ
ajst-20780	25	29	observation	observation	NOUN
ajst-20780	25	30	of	of	ADP
ajst-20780	25	31	high	high	ADJ
ajst-20780	25	32	-	-	PUNCT
ajst-20780	25	33	speed	speed	NOUN
ajst-20780	25	34	motion	motion	NOUN
ajst-20780	25	35	.	.	PUNCT
ajst-20780	26	1	the	the	DET
ajst-20780	26	2	speed	speed	NOUN
ajst-20780	26	3	of	of	ADP
ajst-20780	26	4	the	the	DET
ajst-20780	26	5	memory	memory	NOUN
ajst-20780	26	6	is	be	AUX
ajst-20780	26	7	also	also	ADV
ajst-20780	26	8	important	important	ADJ
ajst-20780	26	9	,	,	PUNCT
ajst-20780	26	10	which	which	PRON
ajst-20780	26	11	requires	require	VERB
ajst-20780	26	12	enough	enough	ADJ
ajst-20780	26	13	write	write	VERB
ajst-20780	26	14	speed	speed	NOUN
ajst-20780	26	15	to	to	PART
ajst-20780	26	16	ensure	ensure	VERB
ajst-20780	26	17	that	that	SCONJ
ajst-20780	26	18	the	the	DET
ajst-20780	26	19	camera	camera	NOUN
ajst-20780	26	20	can	can	AUX
ajst-20780	26	21	record	record	VERB
ajst-20780	26	22	images	image	NOUN
ajst-20780	26	23	continuously	continuously	ADV
ajst-20780	26	24	and	and	CCONJ
ajst-20780	26	25	steadily	steadily	ADV
ajst-20780	26	26	.	.	PUNCT
ajst-20780	27	1	in	in	ADP
ajst-20780	27	2	conclusion	conclusion	NOUN
ajst-20780	27	3	,	,	PUNCT
ajst-20780	27	4	the	the	DET
ajst-20780	27	5	working	work	VERB
ajst-20780	27	6	principle	principle	NOUN
ajst-20780	27	7	of	of	ADP
ajst-20780	27	8	a	a	DET
ajst-20780	27	9	high	high	ADJ
ajst-20780	27	10	-	-	PUNCT
ajst-20780	27	11	frame	frame	NOUN
ajst-20780	27	12	-	-	PUNCT
ajst-20780	27	13	rate	rate	NOUN
ajst-20780	27	14	camera	camera	NOUN
ajst-20780	27	15	involves	involve	VERB
ajst-20780	27	16	optical	optical	ADJ
ajst-20780	27	17	components	component	NOUN
ajst-20780	27	18	,	,	PUNCT
ajst-20780	27	19	high	high	ADJ
ajst-20780	27	20	-	-	PUNCT
ajst-20780	27	21	speed	speed	NOUN
ajst-20780	27	22	image	image	NOUN
ajst-20780	27	23	sensors	sensor	NOUN
ajst-20780	27	24	,	,	PUNCT
ajst-20780	27	25	and	and	CCONJ
ajst-20780	27	26	high	high	ADJ
ajst-20780	27	27	-	-	PUNCT
ajst-20780	27	28	capacity	capacity	NOUN
ajst-20780	27	29	memory	memory	NOUN
ajst-20780	27	30	.	.	PUNCT
ajst-20780	28	1	by	by	ADP
ajst-20780	28	2	using	use	VERB
ajst-20780	28	3	a	a	DET
ajst-20780	28	4	global	global	ADJ
ajst-20780	28	5	shutter	shutter	NOUN
ajst-20780	28	6	system	system	NOUN
ajst-20780	28	7	,	,	PUNCT
ajst-20780	28	8	motion	motion	NOUN
ajst-20780	28	9	compensation	compensation	NOUN
ajst-20780	28	10	technology	technology	NOUN
ajst-20780	28	11	,	,	PUNCT
ajst-20780	28	12	and	and	CCONJ
ajst-20780	28	13	fast	fast	ADV
ajst-20780	28	14	-	-	PUNCT
ajst-20780	28	15	read	read	NOUN
ajst-20780	28	16	sensors	sensor	NOUN
ajst-20780	28	17	,	,	PUNCT
ajst-20780	28	18	high	high	ADJ
ajst-20780	28	19	-	-	PUNCT
ajst-20780	28	20	frame	frame	NOUN
ajst-20780	28	21	-	-	PUNCT
ajst-20780	28	22	rate	rate	NOUN
ajst-20780	28	23	cameras	camera	NOUN
ajst-20780	28	24	can	can	AUX
ajst-20780	28	25	accurately	accurately	ADV
ajst-20780	28	26	capture	capture	VERB
ajst-20780	28	27	the	the	DET
ajst-20780	28	28	details	detail	NOUN
ajst-20780	28	29	of	of	ADP
ajst-20780	28	30	high	high	ADJ
ajst-20780	28	31	-	-	PUNCT
ajst-20780	28	32	speed	speed	NOUN
ajst-20780	28	33	motion	motion	NOUN
ajst-20780	28	34	.	.	PUNCT
ajst-20780	29	1	this	this	PRON
ajst-20780	29	2	makes	make	VERB
ajst-20780	29	3	high	high	ADJ
ajst-20780	29	4	frame	frame	NOUN
ajst-20780	29	5	rate	rate	NOUN
ajst-20780	29	6	cameras	camera	NOUN
ajst-20780	29	7	widely	widely	ADV
ajst-20780	29	8	used	use	VERB
ajst-20780	29	9	in	in	ADP
ajst-20780	29	10	many	many	ADJ
ajst-20780	29	11	fields	field	NOUN
ajst-20780	29	12	,	,	PUNCT
ajst-20780	29	13	such	such	ADJ
ajst-20780	29	14	as	as	ADP
ajst-20780	29	15	scientific	scientific	ADJ
ajst-20780	29	16	research	research	NOUN
ajst-20780	29	17	,	,	PUNCT
ajst-20780	29	18	motion	motion	NOUN
ajst-20780	29	19	analysis	analysis	NOUN
ajst-20780	29	20	and	and	CCONJ
ajst-20780	29	21	industrial	industrial	ADJ
ajst-20780	29	22	detection	detection	NOUN
ajst-20780	29	23	.	.	PUNCT
ajst-20780	30	1	2.2	2.2	NUM
ajst-20780	30	2	.	.	PUNCT
ajst-20780	31	1	the	the	DET
ajst-20780	31	2	fuzzy	fuzzy	ADJ
ajst-20780	31	3	problem	problem	NOUN
ajst-20780	31	4	for	for	ADP
ajst-20780	31	5	high	high	ADJ
ajst-20780	31	6	frame	frame	NOUN
ajst-20780	31	7	rate	rate	NOUN
ajst-20780	31	8	cameras	camera	NOUN
ajst-20780	31	9	high	high	ADJ
ajst-20780	31	10	-	-	PUNCT
ajst-20780	31	11	frame	frame	NOUN
ajst-20780	31	12	-	-	PUNCT
ajst-20780	31	13	rate	rate	NOUN
ajst-20780	31	14	cameras	camera	NOUN
ajst-20780	31	15	are	be	AUX
ajst-20780	31	16	widely	widely	ADV
ajst-20780	31	17	used	use	VERB
ajst-20780	31	18	in	in	ADP
ajst-20780	31	19	many	many	ADJ
ajst-20780	31	20	fields	field	NOUN
ajst-20780	31	21	,	,	PUNCT
ajst-20780	31	22	such	such	ADJ
ajst-20780	31	23	as	as	ADP
ajst-20780	31	24	high	high	ADJ
ajst-20780	31	25	-	-	PUNCT
ajst-20780	31	26	speed	speed	NOUN
ajst-20780	31	27	photography	photography	NOUN
ajst-20780	31	28	,	,	PUNCT
ajst-20780	31	29	medical	medical	ADJ
ajst-20780	31	30	imaging	imaging	NOUN
ajst-20780	31	31	,	,	PUNCT
ajst-20780	31	32	etc	etc	X
ajst-20780	31	33	.	.	X
ajst-20780	31	34	however	however	ADV
ajst-20780	31	35	,	,	PUNCT
ajst-20780	31	36	motion	motion	NOUN
ajst-20780	31	37	blur	blur	NOUN
ajst-20780	31	38	problems	problem	NOUN
ajst-20780	31	39	arise	arise	VERB
ajst-20780	31	40	because	because	SCONJ
ajst-20780	31	41	high	high	ADJ
ajst-20780	31	42	frame	frame	NOUN
ajst-20780	31	43	rate	rate	NOUN
ajst-20780	31	44	cameras	camera	NOUN
ajst-20780	31	45	record	record	NOUN
ajst-20780	31	46	rapidly	rapidly	ADV
ajst-20780	31	47	moving	move	VERB
ajst-20780	31	48	objects	object	NOUN
ajst-20780	31	49	during	during	ADP
ajst-20780	31	50	shooting	shooting	NOUN
ajst-20780	31	51	.	.	PUNCT
ajst-20780	32	1	movement	movement	PROPN
ajst-20780	32	2	blur	blur	PROPN
ajst-20780	32	3	refers	refer	VERB
ajst-20780	32	4	to	to	ADP
ajst-20780	32	5	the	the	DET
ajst-20780	32	6	phenomenon	phenomenon	NOUN
ajst-20780	32	7	of	of	ADP
ajst-20780	32	8	image	image	NOUN
ajst-20780	32	9	blur	blur	NOUN
ajst-20780	32	10	due	due	ADP
ajst-20780	32	11	to	to	ADP
ajst-20780	32	12	the	the	DET
ajst-20780	32	13	motion	motion	NOUN
ajst-20780	32	14	of	of	ADP
ajst-20780	32	15	the	the	DET
ajst-20780	32	16	camera	camera	NOUN
ajst-20780	32	17	or	or	CCONJ
ajst-20780	32	18	the	the	DET
ajst-20780	32	19	subject	subject	ADJ
ajst-20780	32	20	object	object	NOUN
ajst-20780	32	21	.	.	PUNCT
ajst-20780	33	1	this	this	DET
ajst-20780	33	2	ambiguity	ambiguity	NOUN
ajst-20780	33	3	is	be	AUX
ajst-20780	33	4	unacceptable	unacceptable	ADJ
ajst-20780	33	5	for	for	ADP
ajst-20780	33	6	many	many	ADJ
ajst-20780	33	7	applications	application	NOUN
ajst-20780	33	8	,	,	PUNCT
ajst-20780	33	9	as	as	SCONJ
ajst-20780	33	10	blurred	blur	VERB
ajst-20780	33	11	images	image	NOUN
ajst-20780	33	12	can	can	AUX
ajst-20780	33	13	lead	lead	VERB
ajst-20780	33	14	to	to	ADP
ajst-20780	33	15	information	information	NOUN
ajst-20780	33	16	loss	loss	NOUN
ajst-20780	33	17	or	or	CCONJ
ajst-20780	33	18	identification	identification	NOUN
ajst-20780	33	19	difficulties	difficulty	NOUN
ajst-20780	33	20	.	.	PUNCT
ajst-20780	34	1	in	in	ADP
ajst-20780	34	2	high	high	ADJ
ajst-20780	34	3	frame	frame	NOUN
ajst-20780	34	4	rate	rate	NOUN
ajst-20780	34	5	cameras	camera	NOUN
ajst-20780	34	6	,	,	PUNCT
ajst-20780	34	7	there	there	PRON
ajst-20780	34	8	are	be	VERB
ajst-20780	34	9	mainly	mainly	ADV
ajst-20780	34	10	three	three	NUM
ajst-20780	34	11	main	main	ADJ
ajst-20780	34	12	types	type	NOUN
ajst-20780	34	13	of	of	ADP
ajst-20780	34	14	blur	blur	NOUN
ajst-20780	34	15	problems	problem	NOUN
ajst-20780	34	16	,	,	PUNCT
ajst-20780	34	17	namely	namely	ADV
ajst-20780	34	18	,	,	PUNCT
ajst-20780	34	19	object	object	VERB
ajst-20780	34	20	itself	itself	PRON
ajst-20780	34	21	blur	blur	NOUN
ajst-20780	34	22	,	,	PUNCT
ajst-20780	34	23	camera	camera	NOUN
ajst-20780	34	24	motion	motion	NOUN
ajst-20780	34	25	blur	blur	NOUN
ajst-20780	34	26	and	and	CCONJ
ajst-20780	34	27	object	object	VERB
ajst-20780	34	28	motion	motion	NOUN
ajst-20780	34	29	blur	blur	NOUN
ajst-20780	34	30	.	.	PUNCT
ajst-20780	35	1	the	the	DET
ajst-20780	35	2	blur	blur	NOUN
ajst-20780	35	3	of	of	ADP
ajst-20780	35	4	the	the	DET
ajst-20780	35	5	object	object	NOUN
ajst-20780	35	6	itself	itself	PRON
ajst-20780	35	7	occurs	occur	VERB
ajst-20780	35	8	in	in	ADP
ajst-20780	35	9	the	the	DET
ajst-20780	35	10	presence	presence	NOUN
ajst-20780	35	11	of	of	ADP
ajst-20780	35	12	motion	motion	NOUN
ajst-20780	35	13	blur	blur	NOUN
ajst-20780	35	14	of	of	ADP
ajst-20780	35	15	the	the	DET
ajst-20780	35	16	object	object	NOUN
ajst-20780	35	17	itself	itself	PRON
ajst-20780	35	18	,	,	PUNCT
ajst-20780	35	19	55	55	NUM
ajst-20780	35	20	which	which	PRON
ajst-20780	35	21	may	may	AUX
ajst-20780	35	22	result	result	VERB
ajst-20780	35	23	from	from	ADP
ajst-20780	35	24	the	the	DET
ajst-20780	35	25	rapid	rapid	ADJ
ajst-20780	35	26	movement	movement	NOUN
ajst-20780	35	27	or	or	CCONJ
ajst-20780	35	28	vibration	vibration	NOUN
ajst-20780	35	29	of	of	ADP
ajst-20780	35	30	the	the	DET
ajst-20780	35	31	object	object	NOUN
ajst-20780	35	32	itself	itself	PRON
ajst-20780	35	33	.	.	PUNCT
ajst-20780	36	1	camera	camera	NOUN
ajst-20780	36	2	motion	motion	NOUN
ajst-20780	36	3	blur	blur	PROPN
ajst-20780	36	4	refers	refer	VERB
ajst-20780	36	5	to	to	ADP
ajst-20780	36	6	the	the	DET
ajst-20780	36	7	image	image	NOUN
ajst-20780	36	8	blurring	blurring	NOUN
ajst-20780	36	9	caused	cause	VERB
ajst-20780	36	10	by	by	ADP
ajst-20780	36	11	the	the	DET
ajst-20780	36	12	movement	movement	NOUN
ajst-20780	36	13	of	of	ADP
ajst-20780	36	14	the	the	DET
ajst-20780	36	15	camera	camera	NOUN
ajst-20780	36	16	during	during	ADP
ajst-20780	36	17	the	the	DET
ajst-20780	36	18	shooting	shooting	NOUN
ajst-20780	36	19	process	process	NOUN
ajst-20780	36	20	,	,	PUNCT
ajst-20780	36	21	which	which	PRON
ajst-20780	36	22	may	may	AUX
ajst-20780	36	23	be	be	AUX
ajst-20780	36	24	due	due	ADJ
ajst-20780	36	25	to	to	ADP
ajst-20780	36	26	the	the	DET
ajst-20780	36	27	handheld	handheld	ADJ
ajst-20780	36	28	camera	camera	NOUN
ajst-20780	36	29	shooting	shooting	NOUN
ajst-20780	36	30	or	or	CCONJ
ajst-20780	36	31	the	the	DET
ajst-20780	36	32	vibration	vibration	NOUN
ajst-20780	36	33	of	of	ADP
ajst-20780	36	34	the	the	DET
ajst-20780	36	35	camera	camera	NOUN
ajst-20780	36	36	itself	itself	PRON
ajst-20780	36	37	.	.	PUNCT
ajst-20780	37	1	object	object	VERB
ajst-20780	37	2	motion	motion	NOUN
ajst-20780	37	3	blur	blur	NOUN
ajst-20780	37	4	refers	refer	VERB
ajst-20780	37	5	to	to	ADP
ajst-20780	37	6	the	the	DET
ajst-20780	37	7	image	image	NOUN
ajst-20780	37	8	blur	blur	NOUN
ajst-20780	37	9	caused	cause	VERB
ajst-20780	37	10	by	by	ADP
ajst-20780	37	11	the	the	DET
ajst-20780	37	12	motion	motion	NOUN
ajst-20780	37	13	of	of	ADP
ajst-20780	37	14	the	the	DET
ajst-20780	37	15	subject	subject	ADJ
ajst-20780	37	16	object	object	NOUN
ajst-20780	37	17	during	during	ADP
ajst-20780	37	18	the	the	DET
ajst-20780	37	19	shooting	shooting	NOUN
ajst-20780	37	20	process	process	NOUN
ajst-20780	37	21	,	,	PUNCT
ajst-20780	37	22	which	which	PRON
ajst-20780	37	23	may	may	AUX
ajst-20780	37	24	be	be	AUX
ajst-20780	37	25	caused	cause	VERB
ajst-20780	37	26	by	by	ADP
ajst-20780	37	27	the	the	DET
ajst-20780	37	28	rapid	rapid	ADJ
ajst-20780	37	29	movement	movement	NOUN
ajst-20780	37	30	or	or	CCONJ
ajst-20780	37	31	vibration	vibration	NOUN
ajst-20780	37	32	of	of	ADP
ajst-20780	37	33	the	the	DET
ajst-20780	37	34	object	object	NOUN
ajst-20780	37	35	.	.	PUNCT
ajst-20780	38	1	to	to	PART
ajst-20780	38	2	solve	solve	VERB
ajst-20780	38	3	the	the	DET
ajst-20780	38	4	blur	blur	NOUN
ajst-20780	38	5	problem	problem	NOUN
ajst-20780	38	6	of	of	ADP
ajst-20780	38	7	high	high	ADJ
ajst-20780	38	8	frame	frame	NOUN
ajst-20780	38	9	rate	rate	NOUN
ajst-20780	38	10	cameras	camera	NOUN
ajst-20780	38	11	,	,	PUNCT
ajst-20780	38	12	the	the	DET
ajst-20780	38	13	researchers	researcher	NOUN
ajst-20780	38	14	propose	propose	VERB
ajst-20780	38	15	various	various	ADJ
ajst-20780	38	16	deblur	deblur	NOUN
ajst-20780	38	17	algorithms	algorithm	NOUN
ajst-20780	38	18	.	.	PUNCT
ajst-20780	39	1	one	one	NUM
ajst-20780	39	2	of	of	ADP
ajst-20780	39	3	the	the	DET
ajst-20780	39	4	commonly	commonly	ADV
ajst-20780	39	5	used	use	VERB
ajst-20780	39	6	methods	method	NOUN
ajst-20780	39	7	is	be	AUX
ajst-20780	39	8	the	the	DET
ajst-20780	39	9	deblurring	deblurre	VERB
ajst-20780	39	10	algorithm	algorithm	NOUN
ajst-20780	39	11	based	base	VERB
ajst-20780	39	12	on	on	ADP
ajst-20780	39	13	motion	motion	NOUN
ajst-20780	39	14	models	model	NOUN
ajst-20780	39	15	.	.	PUNCT
ajst-20780	40	1	this	this	DET
ajst-20780	40	2	algorithm	algorithm	NOUN
ajst-20780	40	3	recovers	recover	VERB
ajst-20780	40	4	clear	clear	ADJ
ajst-20780	40	5	images	image	NOUN
ajst-20780	40	6	by	by	ADP
ajst-20780	40	7	modeling	model	VERB
ajst-20780	40	8	the	the	DET
ajst-20780	40	9	motion	motion	NOUN
ajst-20780	40	10	of	of	ADP
ajst-20780	40	11	a	a	DET
ajst-20780	40	12	camera	camera	NOUN
ajst-20780	40	13	or	or	CCONJ
ajst-20780	40	14	object	object	NOUN
ajst-20780	40	15	.	.	PUNCT
ajst-20780	41	1	another	another	DET
ajst-20780	41	2	approach	approach	NOUN
ajst-20780	41	3	is	be	AUX
ajst-20780	41	4	the	the	DET
ajst-20780	41	5	fuzzy	fuzzy	ADJ
ajst-20780	41	6	reconstruction	reconstruction	NOUN
ajst-20780	41	7	.	.	PUNCT
ajst-20780	42	1	this	this	DET
ajst-20780	42	2	method	method	NOUN
ajst-20780	42	3	usually	usually	ADV
ajst-20780	42	4	requires	require	VERB
ajst-20780	42	5	image	image	NOUN
ajst-20780	42	6	processing	processing	NOUN
ajst-20780	42	7	algorithms	algorithm	NOUN
ajst-20780	42	8	to	to	PART
ajst-20780	42	9	eliminate	eliminate	VERB
ajst-20780	42	10	the	the	DET
ajst-20780	42	11	blur	blur	NOUN
ajst-20780	42	12	and	and	CCONJ
ajst-20780	42	13	restore	restore	VERB
ajst-20780	42	14	the	the	DET
ajst-20780	42	15	details	detail	NOUN
ajst-20780	42	16	of	of	ADP
ajst-20780	42	17	the	the	DET
ajst-20780	42	18	image	image	NOUN
ajst-20780	42	19	.	.	PUNCT
ajst-20780	43	1	in	in	ADP
ajst-20780	43	2	addition	addition	NOUN
ajst-20780	43	3	to	to	ADP
ajst-20780	43	4	the	the	DET
ajst-20780	43	5	methods	method	NOUN
ajst-20780	43	6	mentioned	mention	VERB
ajst-20780	43	7	above	above	ADV
ajst-20780	43	8	,	,	PUNCT
ajst-20780	43	9	there	there	PRON
ajst-20780	43	10	are	be	VERB
ajst-20780	43	11	some	some	DET
ajst-20780	43	12	other	other	ADJ
ajst-20780	43	13	deblurring	deblurre	VERB
ajst-20780	43	14	algorithms	algorithm	NOUN
ajst-20780	43	15	applied	apply	VERB
ajst-20780	43	16	to	to	ADP
ajst-20780	43	17	high	high	ADJ
ajst-20780	43	18	frame	frame	NOUN
ajst-20780	43	19	rate	rate	NOUN
ajst-20780	43	20	cameras	camera	NOUN
ajst-20780	43	21	.	.	PUNCT
ajst-20780	44	1	for	for	ADP
ajst-20780	44	2	example	example	NOUN
ajst-20780	44	3	,	,	PUNCT
ajst-20780	44	4	based	base	VERB
ajst-20780	44	5	on	on	ADP
ajst-20780	44	6	feature	feature	NOUN
ajst-20780	44	7	point	point	NOUN
ajst-20780	44	8	matching	match	VERB
ajst-20780	44	9	algorithm	algorithm	NOUN
ajst-20780	44	10	recovers	recover	VERB
ajst-20780	44	11	the	the	DET
ajst-20780	44	12	clear	clear	ADJ
ajst-20780	44	13	image	image	NOUN
ajst-20780	44	14	by	by	ADP
ajst-20780	44	15	identifying	identify	VERB
ajst-20780	44	16	feature	feature	NOUN
ajst-20780	44	17	points	point	NOUN
ajst-20780	44	18	in	in	ADP
ajst-20780	44	19	the	the	DET
ajst-20780	44	20	image	image	NOUN
ajst-20780	44	21	and	and	CCONJ
ajst-20780	44	22	matching	match	VERB
ajst-20780	44	23	them	they	PRON
ajst-20780	44	24	.	.	PUNCT
ajst-20780	45	1	there	there	PRON
ajst-20780	45	2	are	be	VERB
ajst-20780	45	3	also	also	ADV
ajst-20780	45	4	deep	deep	ADJ
ajst-20780	45	5	learning	learning	NOUN
ajst-20780	45	6	-	-	PUNCT
ajst-20780	45	7	based	base	VERB
ajst-20780	45	8	algorithms	algorithm	NOUN
ajst-20780	45	9	that	that	PRON
ajst-20780	45	10	train	train	VERB
ajst-20780	45	11	deep	deep	ADJ
ajst-20780	45	12	learning	learning	NOUN
ajst-20780	45	13	models	model	NOUN
ajst-20780	45	14	to	to	PART
ajst-20780	45	15	recover	recover	VERB
ajst-20780	45	16	fuzzy	fuzzy	ADJ
ajst-20780	45	17	images	image	NOUN
ajst-20780	45	18	.	.	PUNCT
ajst-20780	46	1	in	in	ADP
ajst-20780	46	2	conclusion	conclusion	NOUN
ajst-20780	46	3	,	,	PUNCT
ajst-20780	46	4	the	the	DET
ajst-20780	46	5	blur	blur	NOUN
ajst-20780	46	6	problem	problem	NOUN
ajst-20780	46	7	of	of	ADP
ajst-20780	46	8	high	high	ADJ
ajst-20780	46	9	frame	frame	NOUN
ajst-20780	46	10	rate	rate	NOUN
ajst-20780	46	11	cameras	camera	NOUN
ajst-20780	46	12	is	be	AUX
ajst-20780	46	13	an	an	DET
ajst-20780	46	14	important	important	ADJ
ajst-20780	46	15	factor	factor	NOUN
ajst-20780	46	16	affecting	affect	VERB
ajst-20780	46	17	image	image	NOUN
ajst-20780	46	18	sharpness	sharpness	NOUN
ajst-20780	46	19	and	and	CCONJ
ajst-20780	46	20	quality	quality	NOUN
ajst-20780	46	21	.	.	PUNCT
ajst-20780	47	1	by	by	ADP
ajst-20780	47	2	studying	study	VERB
ajst-20780	47	3	and	and	CCONJ
ajst-20780	47	4	applying	apply	VERB
ajst-20780	47	5	various	various	ADJ
ajst-20780	47	6	de	de	ADJ
ajst-20780	47	7	-	-	ADJ
ajst-20780	47	8	blur	blur	ADJ
ajst-20780	47	9	algorithms	algorithm	NOUN
ajst-20780	47	10	,	,	PUNCT
ajst-20780	47	11	we	we	PRON
ajst-20780	47	12	can	can	AUX
ajst-20780	47	13	effectively	effectively	ADV
ajst-20780	47	14	reduce	reduce	VERB
ajst-20780	47	15	the	the	DET
ajst-20780	47	16	blur	blur	ADJ
ajst-20780	47	17	problem	problem	NOUN
ajst-20780	47	18	of	of	ADP
ajst-20780	47	19	high	high	ADJ
ajst-20780	47	20	frame	frame	NOUN
ajst-20780	47	21	rate	rate	NOUN
ajst-20780	47	22	cameras	camera	NOUN
ajst-20780	47	23	and	and	CCONJ
ajst-20780	47	24	improve	improve	VERB
ajst-20780	47	25	the	the	DET
ajst-20780	47	26	quality	quality	NOUN
ajst-20780	47	27	and	and	CCONJ
ajst-20780	47	28	accuracy	accuracy	NOUN
ajst-20780	47	29	of	of	ADP
ajst-20780	47	30	images	image	NOUN
ajst-20780	47	31	.	.	PUNCT
ajst-20780	48	1	in	in	ADP
ajst-20780	48	2	the	the	DET
ajst-20780	48	3	next	next	ADJ
ajst-20780	48	4	section	section	NOUN
ajst-20780	48	5	,	,	PUNCT
ajst-20780	48	6	we	we	PRON
ajst-20780	48	7	will	will	AUX
ajst-20780	48	8	introduce	introduce	VERB
ajst-20780	48	9	the	the	DET
ajst-20780	48	10	requirements	requirement	NOUN
ajst-20780	48	11	and	and	CCONJ
ajst-20780	48	12	research	research	NOUN
ajst-20780	48	13	methods	method	NOUN
ajst-20780	48	14	of	of	ADP
ajst-20780	48	15	deblur	deblur	NOUN
ajst-20780	48	16	algorithms	algorithm	NOUN
ajst-20780	48	17	in	in	ADP
ajst-20780	48	18	more	more	ADJ
ajst-20780	48	19	detail	detail	NOUN
ajst-20780	48	20	.	.	PUNCT
ajst-20780	49	1	2.3	2.3	NUM
ajst-20780	49	2	.	.	X
ajst-20780	50	1	deuring	deure	VERB
ajst-20780	50	2	algorithm	algorithm	NOUN
ajst-20780	50	3	requirements	requirement	NOUN
ajst-20780	50	4	in	in	ADP
ajst-20780	50	5	the	the	DET
ajst-20780	50	6	application	application	NOUN
ajst-20780	50	7	of	of	ADP
ajst-20780	50	8	high	high	ADJ
ajst-20780	50	9	frame	frame	NOUN
ajst-20780	50	10	rate	rate	NOUN
ajst-20780	50	11	camera	camera	NOUN
ajst-20780	50	12	,	,	PUNCT
ajst-20780	50	13	the	the	DET
ajst-20780	50	14	object	object	NOUN
ajst-20780	50	15	is	be	AUX
ajst-20780	50	16	blurred	blur	VERB
ajst-20780	50	17	during	during	ADP
ajst-20780	50	18	high	high	ADJ
ajst-20780	50	19	-	-	PUNCT
ajst-20780	50	20	speed	speed	NOUN
ajst-20780	50	21	motion	motion	NOUN
ajst-20780	50	22	.	.	PUNCT
ajst-20780	51	1	as	as	ADP
ajst-20780	51	2	an	an	DET
ajst-20780	51	3	important	important	ADJ
ajst-20780	51	4	direction	direction	NOUN
ajst-20780	51	5	in	in	ADP
ajst-20780	51	6	the	the	DET
ajst-20780	51	7	research	research	NOUN
ajst-20780	51	8	of	of	ADP
ajst-20780	51	9	high	high	ADJ
ajst-20780	51	10	frame	frame	NOUN
ajst-20780	51	11	rate	rate	NOUN
ajst-20780	51	12	camera	camera	NOUN
ajst-20780	51	13	,	,	PUNCT
ajst-20780	51	14	the	the	DET
ajst-20780	51	15	deblur	deblur	NOUN
ajst-20780	51	16	algorithm	algorithm	PROPN
ajst-20780	51	17	aims	aim	VERB
ajst-20780	51	18	to	to	PART
ajst-20780	51	19	improve	improve	VERB
ajst-20780	51	20	the	the	DET
ajst-20780	51	21	clarity	clarity	NOUN
ajst-20780	51	22	and	and	CCONJ
ajst-20780	51	23	detail	detail	NOUN
ajst-20780	51	24	restoration	restoration	NOUN
ajst-20780	51	25	ability	ability	NOUN
ajst-20780	51	26	of	of	ADP
ajst-20780	51	27	images	image	NOUN
ajst-20780	51	28	.	.	PUNCT
ajst-20780	52	1	for	for	ADP
ajst-20780	52	2	this	this	DET
ajst-20780	52	3	requirement	requirement	NOUN
ajst-20780	52	4	,	,	PUNCT
ajst-20780	52	5	we	we	PRON
ajst-20780	52	6	need	need	VERB
ajst-20780	52	7	the	the	DET
ajst-20780	52	8	following	follow	VERB
ajst-20780	52	9	several	several	ADJ
ajst-20780	52	10	aspects	aspect	NOUN
ajst-20780	52	11	of	of	ADP
ajst-20780	52	12	the	the	DET
ajst-20780	52	13	algorithm	algorithm	NOUN
ajst-20780	52	14	to	to	PART
ajst-20780	52	15	support	support	VERB
ajst-20780	52	16	it	it	PRON
ajst-20780	52	17	.	.	PUNCT
ajst-20780	53	1	first	first	ADV
ajst-20780	53	2	,	,	PUNCT
ajst-20780	53	3	the	the	DET
ajst-20780	53	4	algorithm	algorithm	NOUN
ajst-20780	53	5	needs	need	VERB
ajst-20780	53	6	to	to	PART
ajst-20780	53	7	have	have	VERB
ajst-20780	53	8	the	the	DET
ajst-20780	53	9	ability	ability	NOUN
ajst-20780	53	10	of	of	ADP
ajst-20780	53	11	timedomain	timedomain	ADJ
ajst-20780	53	12	filtering	filtering	NOUN
ajst-20780	53	13	.	.	PUNCT
ajst-20780	54	1	in	in	ADP
ajst-20780	54	2	the	the	DET
ajst-20780	54	3	sequence	sequence	NOUN
ajst-20780	54	4	of	of	ADP
ajst-20780	54	5	images	image	NOUN
ajst-20780	54	6	taken	take	VERB
ajst-20780	54	7	by	by	ADP
ajst-20780	54	8	a	a	DET
ajst-20780	54	9	high	high	ADJ
ajst-20780	54	10	frame	frame	NOUN
ajst-20780	54	11	rate	rate	NOUN
ajst-20780	54	12	camera	camera	NOUN
ajst-20780	54	13	,	,	PUNCT
ajst-20780	54	14	the	the	DET
ajst-20780	54	15	trajectory	trajectory	NOUN
ajst-20780	54	16	of	of	ADP
ajst-20780	54	17	objects	object	NOUN
ajst-20780	54	18	usually	usually	ADV
ajst-20780	54	19	causes	cause	VERB
ajst-20780	54	20	blur	blur	NOUN
ajst-20780	54	21	between	between	ADP
ajst-20780	54	22	consecutive	consecutive	ADJ
ajst-20780	54	23	frames	frame	NOUN
ajst-20780	54	24	.	.	PUNCT
ajst-20780	55	1	therefore	therefore	ADV
ajst-20780	55	2	,	,	PUNCT
ajst-20780	55	3	the	the	DET
ajst-20780	55	4	time	time	NOUN
ajst-20780	55	5	domain	domain	NOUN
ajst-20780	55	6	filtering	filtering	NOUN
ajst-20780	55	7	algorithm	algorithm	NOUN
ajst-20780	55	8	can	can	AUX
ajst-20780	55	9	reduce	reduce	VERB
ajst-20780	55	10	the	the	DET
ajst-20780	55	11	fuzzy	fuzzy	ADJ
ajst-20780	55	12	effect	effect	NOUN
ajst-20780	55	13	caused	cause	VERB
ajst-20780	55	14	by	by	ADP
ajst-20780	55	15	motion	motion	NOUN
ajst-20780	55	16	and	and	CCONJ
ajst-20780	55	17	improve	improve	VERB
ajst-20780	55	18	the	the	DET
ajst-20780	55	19	clarity	clarity	NOUN
ajst-20780	55	20	and	and	CCONJ
ajst-20780	55	21	visual	visual	ADJ
ajst-20780	55	22	effect	effect	NOUN
ajst-20780	55	23	of	of	ADP
ajst-20780	55	24	the	the	DET
ajst-20780	55	25	image	image	NOUN
ajst-20780	55	26	by	by	ADP
ajst-20780	55	27	analyzing	analyze	VERB
ajst-20780	55	28	the	the	DET
ajst-20780	55	29	frame	frame	NOUN
ajst-20780	55	30	information	information	NOUN
ajst-20780	55	31	.	.	PUNCT
ajst-20780	56	1	commonly	commonly	ADV
ajst-20780	56	2	used	use	VERB
ajst-20780	56	3	temporal	temporal	ADJ
ajst-20780	56	4	filtering	filter	VERB
ajst-20780	56	5	algorithms	algorithm	NOUN
ajst-20780	56	6	include	include	VERB
ajst-20780	56	7	interframe	interframe	PROPN
ajst-20780	56	8	difference	difference	NOUN
ajst-20780	56	9	method	method	NOUN
ajst-20780	56	10	,	,	PUNCT
ajst-20780	56	11	mean	mean	VERB
ajst-20780	56	12	filtering	filtering	NOUN
ajst-20780	56	13	method	method	NOUN
ajst-20780	56	14	and	and	CCONJ
ajst-20780	56	15	so	so	ADV
ajst-20780	56	16	on.[3	on.[3	PROPN
ajst-20780	56	17	]	]	PUNCT
ajst-20780	56	18	second	second	ADV
ajst-20780	56	19	,	,	PUNCT
ajst-20780	56	20	the	the	DET
ajst-20780	56	21	algorithm	algorithm	NOUN
ajst-20780	56	22	needs	need	VERB
ajst-20780	56	23	to	to	PART
ajst-20780	56	24	take	take	VERB
ajst-20780	56	25	into	into	ADP
ajst-20780	56	26	account	account	NOUN
ajst-20780	56	27	the	the	DET
ajst-20780	56	28	features	feature	NOUN
ajst-20780	56	29	of	of	ADP
ajst-20780	56	30	the	the	DET
ajst-20780	56	31	spatial	spatial	ADJ
ajst-20780	56	32	domain	domain	NOUN
ajst-20780	56	33	.	.	PUNCT
ajst-20780	57	1	images	image	NOUN
ajst-20780	57	2	taken	take	VERB
ajst-20780	57	3	by	by	ADP
ajst-20780	57	4	a	a	DET
ajst-20780	57	5	high	high	ADJ
ajst-20780	57	6	frame	frame	NOUN
ajst-20780	57	7	rate	rate	NOUN
ajst-20780	57	8	camera	camera	NOUN
ajst-20780	57	9	usually	usually	ADV
ajst-20780	57	10	have	have	VERB
ajst-20780	57	11	a	a	DET
ajst-20780	57	12	high	high	ADJ
ajst-20780	57	13	spatial	spatial	ADJ
ajst-20780	57	14	resolution	resolution	NOUN
ajst-20780	57	15	,	,	PUNCT
ajst-20780	57	16	so	so	CCONJ
ajst-20780	57	17	the	the	DET
ajst-20780	57	18	algorithm	algorithm	NOUN
ajst-20780	57	19	should	should	AUX
ajst-20780	57	20	be	be	AUX
ajst-20780	57	21	able	able	ADJ
ajst-20780	57	22	to	to	PART
ajst-20780	57	23	make	make	VERB
ajst-20780	57	24	full	full	ADJ
ajst-20780	57	25	use	use	NOUN
ajst-20780	57	26	of	of	ADP
ajst-20780	57	27	the	the	DET
ajst-20780	57	28	spatial	spatial	ADJ
ajst-20780	57	29	domain	domain	NOUN
ajst-20780	57	30	information	information	NOUN
ajst-20780	57	31	of	of	ADP
ajst-20780	57	32	the	the	DET
ajst-20780	57	33	image	image	NOUN
ajst-20780	57	34	.	.	PUNCT
ajst-20780	58	1	by	by	ADP
ajst-20780	58	2	filtering	filter	VERB
ajst-20780	58	3	the	the	DET
ajst-20780	58	4	image	image	NOUN
ajst-20780	58	5	,	,	PUNCT
ajst-20780	58	6	we	we	PRON
ajst-20780	58	7	can	can	AUX
ajst-20780	58	8	remove	remove	VERB
ajst-20780	58	9	the	the	DET
ajst-20780	58	10	noise	noise	NOUN
ajst-20780	58	11	and	and	CCONJ
ajst-20780	58	12	the	the	DET
ajst-20780	58	13	blur	blur	ADJ
ajst-20780	58	14	effect	effect	NOUN
ajst-20780	58	15	in	in	ADP
ajst-20780	58	16	the	the	DET
ajst-20780	58	17	image	image	NOUN
ajst-20780	58	18	while	while	SCONJ
ajst-20780	58	19	preserving	preserve	VERB
ajst-20780	58	20	the	the	DET
ajst-20780	58	21	edges	edge	NOUN
ajst-20780	58	22	and	and	CCONJ
ajst-20780	58	23	details	detail	NOUN
ajst-20780	58	24	of	of	ADP
ajst-20780	58	25	the	the	DET
ajst-20780	58	26	image	image	NOUN
ajst-20780	58	27	.	.	PUNCT
ajst-20780	59	1	common	common	ADJ
ajst-20780	59	2	spatial	spatial	ADJ
ajst-20780	59	3	domain	domain	NOUN
ajst-20780	59	4	filtering	filtering	NOUN
ajst-20780	59	5	algorithms	algorithm	NOUN
ajst-20780	59	6	include	include	VERB
ajst-20780	59	7	mean	mean	NOUN
ajst-20780	59	8	filter	filter	NOUN
ajst-20780	59	9	,	,	PUNCT
ajst-20780	59	10	median	median	ADJ
ajst-20780	59	11	filter	filter	NOUN
ajst-20780	59	12	and	and	CCONJ
ajst-20780	59	13	so	so	ADV
ajst-20780	59	14	on	on	ADV
ajst-20780	59	15	.	.	PUNCT
ajst-20780	60	1	moreover	moreover	ADV
ajst-20780	60	2	,	,	PUNCT
ajst-20780	60	3	the	the	DET
ajst-20780	60	4	algorithm	algorithm	NOUN
ajst-20780	60	5	also	also	ADV
ajst-20780	60	6	needs	need	VERB
ajst-20780	60	7	to	to	PART
ajst-20780	60	8	take	take	VERB
ajst-20780	60	9	into	into	ADP
ajst-20780	60	10	account	account	NOUN
ajst-20780	60	11	the	the	DET
ajst-20780	60	12	frequency	frequency	NOUN
ajst-20780	60	13	domain	domain	NOUN
ajst-20780	60	14	features	feature	NOUN
ajst-20780	60	15	of	of	ADP
ajst-20780	60	16	the	the	DET
ajst-20780	60	17	image	image	NOUN
ajst-20780	60	18	.	.	PUNCT
ajst-20780	61	1	the	the	DET
ajst-20780	61	2	frequency	frequency	NOUN
ajst-20780	61	3	domain	domain	NOUN
ajst-20780	61	4	filtering	filtering	NOUN
ajst-20780	61	5	algorithm	algorithm	NOUN
ajst-20780	61	6	can	can	AUX
ajst-20780	61	7	analyze	analyze	VERB
ajst-20780	61	8	the	the	DET
ajst-20780	61	9	frequency	frequency	NOUN
ajst-20780	61	10	component	component	NOUN
ajst-20780	61	11	of	of	ADP
ajst-20780	61	12	the	the	DET
ajst-20780	61	13	image	image	NOUN
ajst-20780	61	14	,	,	PUNCT
ajst-20780	61	15	remove	remove	VERB
ajst-20780	61	16	the	the	DET
ajst-20780	61	17	high	high	ADJ
ajst-20780	61	18	frequency	frequency	NOUN
ajst-20780	61	19	noise	noise	NOUN
ajst-20780	61	20	and	and	CCONJ
ajst-20780	61	21	fuzzy	fuzzy	ADJ
ajst-20780	61	22	effect	effect	NOUN
ajst-20780	61	23	,	,	PUNCT
ajst-20780	61	24	and	and	CCONJ
ajst-20780	61	25	improve	improve	VERB
ajst-20780	61	26	the	the	DET
ajst-20780	61	27	clarity	clarity	NOUN
ajst-20780	61	28	and	and	CCONJ
ajst-20780	61	29	detail	detail	NOUN
ajst-20780	61	30	display	display	NOUN
ajst-20780	61	31	ability	ability	NOUN
ajst-20780	61	32	of	of	ADP
ajst-20780	61	33	the	the	DET
ajst-20780	61	34	image	image	NOUN
ajst-20780	61	35	.	.	PUNCT
ajst-20780	62	1	common	common	ADJ
ajst-20780	62	2	frequency	frequency	NOUN
ajst-20780	62	3	domain	domain	NOUN
ajst-20780	62	4	filtering	filtering	NOUN
ajst-20780	62	5	algorithms	algorithm	NOUN
ajst-20780	62	6	include	include	VERB
ajst-20780	62	7	fourier	fourier	NOUN
ajst-20780	62	8	transform	transform	NOUN
ajst-20780	62	9	and	and	CCONJ
ajst-20780	62	10	wavelet	wavelet	NOUN
ajst-20780	62	11	transform.[4,5	transform.[4,5	NOUN
ajst-20780	62	12	]	]	X
ajst-20780	62	13	finally	finally	ADV
ajst-20780	62	14	,	,	PUNCT
ajst-20780	62	15	the	the	DET
ajst-20780	62	16	algorithm	algorithm	NOUN
ajst-20780	62	17	also	also	ADV
ajst-20780	62	18	needs	need	VERB
ajst-20780	62	19	to	to	PART
ajst-20780	62	20	be	be	AUX
ajst-20780	62	21	adaptive	adaptive	ADJ
ajst-20780	62	22	and	and	CCONJ
ajst-20780	62	23	realtime	realtime	VERB
ajst-20780	62	24	nature	nature	NOUN
ajst-20780	62	25	.	.	PUNCT
ajst-20780	63	1	due	due	ADP
ajst-20780	63	2	to	to	ADP
ajst-20780	63	3	the	the	DET
ajst-20780	63	4	time	time	NOUN
ajst-20780	63	5	variation	variation	NOUN
ajst-20780	63	6	taken	take	VERB
ajst-20780	63	7	by	by	ADP
ajst-20780	63	8	the	the	DET
ajst-20780	63	9	high	high	ADJ
ajst-20780	63	10	frame	frame	NOUN
ajst-20780	63	11	rate	rate	NOUN
ajst-20780	63	12	camera	camera	NOUN
ajst-20780	63	13	,	,	PUNCT
ajst-20780	63	14	the	the	DET
ajst-20780	63	15	required	require	VERB
ajst-20780	63	16	deblur	deblur	NOUN
ajst-20780	63	17	algorithm	algorithm	NOUN
ajst-20780	63	18	should	should	AUX
ajst-20780	63	19	have	have	VERB
ajst-20780	63	20	the	the	DET
ajst-20780	63	21	ability	ability	NOUN
ajst-20780	63	22	of	of	ADP
ajst-20780	63	23	adaptive	adaptive	ADJ
ajst-20780	63	24	adjustment	adjustment	NOUN
ajst-20780	63	25	to	to	PART
ajst-20780	63	26	adapt	adapt	VERB
ajst-20780	63	27	to	to	ADP
ajst-20780	63	28	the	the	DET
ajst-20780	63	29	requirements	requirement	NOUN
ajst-20780	63	30	of	of	ADP
ajst-20780	63	31	different	different	ADJ
ajst-20780	63	32	scenes	scene	NOUN
ajst-20780	63	33	and	and	CCONJ
ajst-20780	63	34	motion	motion	NOUN
ajst-20780	63	35	speed	speed	NOUN
ajst-20780	63	36	.	.	PUNCT
ajst-20780	64	1	at	at	ADP
ajst-20780	64	2	the	the	DET
ajst-20780	64	3	same	same	ADJ
ajst-20780	64	4	time	time	NOUN
ajst-20780	64	5	,	,	PUNCT
ajst-20780	64	6	the	the	DET
ajst-20780	64	7	realtime	realtime	ADJ
ajst-20780	64	8	performance	performance	NOUN
ajst-20780	64	9	of	of	ADP
ajst-20780	64	10	the	the	DET
ajst-20780	64	11	algorithm	algorithm	NOUN
ajst-20780	64	12	is	be	AUX
ajst-20780	64	13	also	also	ADV
ajst-20780	64	14	very	very	ADV
ajst-20780	64	15	important	important	ADJ
ajst-20780	64	16	to	to	PART
ajst-20780	64	17	ensure	ensure	VERB
ajst-20780	64	18	that	that	SCONJ
ajst-20780	64	19	the	the	DET
ajst-20780	64	20	image	image	NOUN
ajst-20780	64	21	processing	processing	NOUN
ajst-20780	64	22	and	and	CCONJ
ajst-20780	64	23	deblur	deblur	NOUN
ajst-20780	64	24	operation	operation	NOUN
ajst-20780	64	25	can	can	AUX
ajst-20780	64	26	be	be	AUX
ajst-20780	64	27	performed	perform	VERB
ajst-20780	64	28	in	in	ADP
ajst-20780	64	29	a	a	DET
ajst-20780	64	30	short	short	ADJ
ajst-20780	64	31	time	time	NOUN
ajst-20780	64	32	in	in	ADP
ajst-20780	64	33	the	the	DET
ajst-20780	64	34	real	real	ADJ
ajst-20780	64	35	-	-	PUNCT
ajst-20780	64	36	time	time	NOUN
ajst-20780	64	37	application	application	NOUN
ajst-20780	64	38	.	.	PUNCT
ajst-20780	65	1	3	3	X
ajst-20780	65	2	.	.	X
ajst-20780	65	3	study	study	NOUN
ajst-20780	65	4	on	on	ADP
ajst-20780	65	5	deblurring	deblurre	VERB
ajst-20780	65	6	algorithm	algorithm	NOUN
ajst-20780	65	7	3.1	3.1	NUM
ajst-20780	65	8	.	.	PUNCT
ajst-20780	66	1	the	the	DET
ajst-20780	66	2	principle	principle	NOUN
ajst-20780	66	3	of	of	ADP
ajst-20780	66	4	the	the	DET
ajst-20780	66	5	deblur	deblur	NOUN
ajst-20780	66	6	algorithm	algorithm	NOUN
ajst-20780	66	7	in	in	ADP
ajst-20780	66	8	the	the	DET
ajst-20780	66	9	study	study	NOUN
ajst-20780	66	10	of	of	ADP
ajst-20780	66	11	deblur	deblur	NOUN
ajst-20780	66	12	algorithm	algorithm	NOUN
ajst-20780	66	13	of	of	ADP
ajst-20780	66	14	high	high	ADJ
ajst-20780	66	15	frame	frame	NOUN
ajst-20780	66	16	rate	rate	NOUN
ajst-20780	66	17	camera	camera	NOUN
ajst-20780	66	18	,	,	PUNCT
ajst-20780	66	19	the	the	DET
ajst-20780	66	20	principle	principle	NOUN
ajst-20780	66	21	of	of	ADP
ajst-20780	66	22	deblur	deblur	NOUN
ajst-20780	66	23	algorithm	algorithm	PROPN
ajst-20780	66	24	is	be	AUX
ajst-20780	66	25	a	a	DET
ajst-20780	66	26	very	very	ADV
ajst-20780	66	27	critical	critical	ADJ
ajst-20780	66	28	part	part	NOUN
ajst-20780	66	29	.	.	PUNCT
ajst-20780	67	1	the	the	DET
ajst-20780	67	2	goal	goal	NOUN
ajst-20780	67	3	of	of	ADP
ajst-20780	67	4	the	the	DET
ajst-20780	67	5	blur	blur	NOUN
ajst-20780	67	6	algorithm	algorithm	NOUN
ajst-20780	67	7	is	be	AUX
ajst-20780	67	8	to	to	PART
ajst-20780	67	9	recover	recover	VERB
ajst-20780	67	10	a	a	DET
ajst-20780	67	11	clear	clear	ADJ
ajst-20780	67	12	image	image	NOUN
ajst-20780	67	13	by	by	ADP
ajst-20780	67	14	inverse	inverse	NOUN
ajst-20780	67	15	filtering	filtering	NOUN
ajst-20780	67	16	or	or	CCONJ
ajst-20780	67	17	blind	blind	ADJ
ajst-20780	67	18	deconvolution	deconvolution	NOUN
ajst-20780	67	19	.	.	PUNCT
ajst-20780	68	1	inverse	inverse	NOUN
ajst-20780	68	2	filtering	filtering	NOUN
ajst-20780	68	3	is	be	AUX
ajst-20780	68	4	a	a	DET
ajst-20780	68	5	commonly	commonly	ADV
ajst-20780	68	6	used	use	VERB
ajst-20780	68	7	deblur	deblur	NOUN
ajst-20780	68	8	algorithm	algorithm	PROPN
ajst-20780	68	9	,	,	PUNCT
ajst-20780	68	10	which	which	PRON
ajst-20780	68	11	uses	use	VERB
ajst-20780	68	12	the	the	DET
ajst-20780	68	13	degradation	degradation	NOUN
ajst-20780	68	14	model	model	NOUN
ajst-20780	68	15	(	(	PUNCT
ajst-20780	68	16	undersampling	undersample	VERB
ajst-20780	68	17	model	model	NOUN
ajst-20780	68	18	or	or	CCONJ
ajst-20780	68	19	motion	motion	NOUN
ajst-20780	68	20	fuzzy	fuzzy	ADJ
ajst-20780	68	21	model	model	NOUN
ajst-20780	68	22	)	)	PUNCT
ajst-20780	68	23	to	to	PART
ajst-20780	68	24	represent	represent	VERB
ajst-20780	68	25	the	the	DET
ajst-20780	68	26	degradation	degradation	NOUN
ajst-20780	68	27	process	process	NOUN
ajst-20780	68	28	of	of	ADP
ajst-20780	68	29	image	image	NOUN
ajst-20780	68	30	degradation	degradation	NOUN
ajst-20780	68	31	.	.	PUNCT
ajst-20780	69	1	by	by	ADP
ajst-20780	69	2	solving	solve	VERB
ajst-20780	69	3	the	the	DET
ajst-20780	69	4	inverse	inverse	NOUN
ajst-20780	69	5	filtering	filtering	NOUN
ajst-20780	69	6	problem	problem	NOUN
ajst-20780	69	7	,	,	PUNCT
ajst-20780	69	8	one	one	PRON
ajst-20780	69	9	can	can	AUX
ajst-20780	69	10	try	try	VERB
ajst-20780	69	11	to	to	PART
ajst-20780	69	12	recover	recover	VERB
ajst-20780	69	13	the	the	DET
ajst-20780	69	14	original	original	ADJ
ajst-20780	69	15	image	image	NOUN
ajst-20780	69	16	.	.	PUNCT
ajst-20780	70	1	the	the	DET
ajst-20780	70	2	basic	basic	ADJ
ajst-20780	70	3	principle	principle	NOUN
ajst-20780	70	4	of	of	ADP
ajst-20780	70	5	inverse	inverse	NOUN
ajst-20780	70	6	filtering	filtering	NOUN
ajst-20780	70	7	is	be	AUX
ajst-20780	70	8	to	to	PART
ajst-20780	70	9	divide	divide	VERB
ajst-20780	70	10	the	the	DET
ajst-20780	70	11	estimation	estimation	NOUN
ajst-20780	70	12	of	of	ADP
ajst-20780	70	13	the	the	DET
ajst-20780	70	14	degenerate	degenerate	ADJ
ajst-20780	70	15	model	model	NOUN
ajst-20780	70	16	from	from	ADP
ajst-20780	70	17	the	the	DET
ajst-20780	70	18	fuzzy	fuzzy	ADJ
ajst-20780	70	19	image	image	NOUN
ajst-20780	70	20	to	to	PART
ajst-20780	70	21	eliminate	eliminate	VERB
ajst-20780	70	22	the	the	DET
ajst-20780	70	23	fuzzy	fuzzy	ADJ
ajst-20780	70	24	effect	effect	NOUN
ajst-20780	70	25	.	.	PUNCT
ajst-20780	71	1	however	however	ADV
ajst-20780	71	2	,	,	PUNCT
ajst-20780	71	3	inverse	inverse	ADJ
ajst-20780	71	4	filtering	filter	VERB
ajst-20780	71	5	algorithms	algorithm	NOUN
ajst-20780	71	6	often	often	ADV
ajst-20780	71	7	lead	lead	VERB
ajst-20780	71	8	to	to	ADP
ajst-20780	71	9	problems	problem	NOUN
ajst-20780	71	10	such	such	ADJ
ajst-20780	71	11	as	as	ADP
ajst-20780	71	12	noise	noise	NOUN
ajst-20780	71	13	amplification	amplification	NOUN
ajst-20780	71	14	and	and	CCONJ
ajst-20780	71	15	ringing	ringing	ADJ
ajst-20780	71	16	effect	effect	NOUN
ajst-20780	71	17	,	,	PUNCT
ajst-20780	71	18	which	which	PRON
ajst-20780	71	19	reduces	reduce	VERB
ajst-20780	71	20	the	the	DET
ajst-20780	71	21	quality	quality	NOUN
ajst-20780	71	22	of	of	ADP
ajst-20780	71	23	the	the	DET
ajst-20780	71	24	recovered	recover	VERB
ajst-20780	71	25	images.[6	images.[6	NOUN
ajst-20780	71	26	]	]	PUNCT
ajst-20780	71	27	to	to	PART
ajst-20780	71	28	overcome	overcome	VERB
ajst-20780	71	29	the	the	DET
ajst-20780	71	30	problem	problem	NOUN
ajst-20780	71	31	of	of	ADP
ajst-20780	71	32	the	the	DET
ajst-20780	71	33	inverse	inverse	NOUN
ajst-20780	71	34	filtering	filtering	NOUN
ajst-20780	71	35	algorithm	algorithm	NOUN
ajst-20780	71	36	,	,	PUNCT
ajst-20780	71	37	the	the	DET
ajst-20780	71	38	researchers	researcher	NOUN
ajst-20780	71	39	proposed	propose	VERB
ajst-20780	71	40	the	the	DET
ajst-20780	71	41	blind	blind	ADJ
ajst-20780	71	42	deconvolution	deconvolution	NOUN
ajst-20780	71	43	method	method	NOUN
ajst-20780	71	44	.	.	PUNCT
ajst-20780	72	1	the	the	DET
ajst-20780	72	2	blind	blind	ADJ
ajst-20780	72	3	deconvolution	deconvolution	NOUN
ajst-20780	72	4	algorithm	algorithm	NOUN
ajst-20780	72	5	utilizes	utilize	VERB
ajst-20780	72	6	prior	prior	ADJ
ajst-20780	72	7	information	information	NOUN
ajst-20780	72	8	to	to	PART
ajst-20780	72	9	improve	improve	VERB
ajst-20780	72	10	the	the	DET
ajst-20780	72	11	recovery	recovery	NOUN
ajst-20780	72	12	of	of	ADP
ajst-20780	72	13	blurred	blurred	ADJ
ajst-20780	72	14	images	image	NOUN
ajst-20780	72	15	.	.	PUNCT
ajst-20780	73	1	these	these	DET
ajst-20780	73	2	prior	prior	ADJ
ajst-20780	73	3	information	information	NOUN
ajst-20780	73	4	can	can	AUX
ajst-20780	73	5	come	come	VERB
ajst-20780	73	6	from	from	ADP
ajst-20780	73	7	the	the	DET
ajst-20780	73	8	statistical	statistical	ADJ
ajst-20780	73	9	properties	property	NOUN
ajst-20780	73	10	of	of	ADP
ajst-20780	73	11	the	the	DET
ajst-20780	73	12	image	image	NOUN
ajst-20780	73	13	,	,	PUNCT
ajst-20780	73	14	the	the	DET
ajst-20780	73	15	edge	edge	NOUN
ajst-20780	73	16	information	information	NOUN
ajst-20780	73	17	of	of	ADP
ajst-20780	73	18	the	the	DET
ajst-20780	73	19	image	image	NOUN
ajst-20780	73	20	,	,	PUNCT
ajst-20780	73	21	etc	etc	X
ajst-20780	73	22	.	.	X
ajst-20780	73	23	with	with	ADP
ajst-20780	73	24	the	the	DET
ajst-20780	73	25	introduction	introduction	NOUN
ajst-20780	73	26	of	of	ADP
ajst-20780	73	27	prior	prior	ADJ
ajst-20780	73	28	information	information	NOUN
ajst-20780	73	29	,	,	PUNCT
ajst-20780	73	30	the	the	DET
ajst-20780	73	31	blind	blind	ADJ
ajst-20780	73	32	deconvolution	deconvolution	NOUN
ajst-20780	73	33	algorithm	algorithm	NOUN
ajst-20780	73	34	can	can	AUX
ajst-20780	73	35	better	well	ADV
ajst-20780	73	36	recover	recover	VERB
ajst-20780	73	37	clear	clear	ADJ
ajst-20780	73	38	images	image	NOUN
ajst-20780	73	39	.	.	PUNCT
ajst-20780	74	1	in	in	ADP
ajst-20780	74	2	addition	addition	NOUN
ajst-20780	74	3	to	to	ADP
ajst-20780	74	4	the	the	DET
ajst-20780	74	5	inverse	inverse	NOUN
ajst-20780	74	6	filtering	filtering	NOUN
ajst-20780	74	7	and	and	CCONJ
ajst-20780	74	8	blind	blind	ADJ
ajst-20780	74	9	deconvolution	deconvolution	NOUN
ajst-20780	74	10	algorithms	algorithm	NOUN
ajst-20780	74	11	,	,	PUNCT
ajst-20780	74	12	some	some	DET
ajst-20780	74	13	other	other	ADJ
ajst-20780	74	14	innovative	innovative	ADJ
ajst-20780	74	15	deblurring	deblurring	NOUN
ajst-20780	74	16	algorithms	algorithm	NOUN
ajst-20780	74	17	have	have	AUX
ajst-20780	74	18	been	be	AUX
ajst-20780	74	19	studied	study	VERB
ajst-20780	74	20	and	and	CCONJ
ajst-20780	74	21	applied	apply	VERB
ajst-20780	74	22	.	.	PUNCT
ajst-20780	75	1	for	for	ADP
ajst-20780	75	2	example	example	NOUN
ajst-20780	75	3	,	,	PUNCT
ajst-20780	75	4	deep	deep	ADJ
ajst-20780	75	5	learning	learning	NOUN
ajst-20780	75	6	-	-	PUNCT
ajst-20780	75	7	based	base	VERB
ajst-20780	75	8	deblurring	deblurring	NOUN
ajst-20780	75	9	algorithms	algorithm	NOUN
ajst-20780	75	10	have	have	AUX
ajst-20780	75	11	made	make	VERB
ajst-20780	75	12	significant	significant	ADJ
ajst-20780	75	13	progress	progress	NOUN
ajst-20780	75	14	in	in	ADP
ajst-20780	75	15	recent	recent	ADJ
ajst-20780	75	16	years	year	NOUN
ajst-20780	75	17	.	.	PUNCT
ajst-20780	76	1	these	these	DET
ajst-20780	76	2	algorithms	algorithm	NOUN
ajst-20780	76	3	learn	learn	VERB
ajst-20780	76	4	the	the	DET
ajst-20780	76	5	mapping	mapping	NOUN
ajst-20780	76	6	relationship	relationship	NOUN
ajst-20780	76	7	between	between	ADP
ajst-20780	76	8	fuzzy	fuzzy	ADJ
ajst-20780	76	9	images	image	NOUN
ajst-20780	76	10	and	and	CCONJ
ajst-20780	76	11	clear	clear	ADJ
ajst-20780	76	12	images	image	NOUN
ajst-20780	76	13	through	through	ADP
ajst-20780	76	14	deep	deep	ADJ
ajst-20780	76	15	neural	neural	ADJ
ajst-20780	76	16	networks	network	NOUN
ajst-20780	76	17	,	,	PUNCT
ajst-20780	76	18	so	so	SCONJ
ajst-20780	76	19	as	as	SCONJ
ajst-20780	76	20	to	to	PART
ajst-20780	76	21	deblur	deblur	VERB
ajst-20780	76	22	the	the	DET
ajst-20780	76	23	images	image	NOUN
ajst-20780	76	24	.	.	PUNCT
ajst-20780	77	1	in	in	ADP
ajst-20780	77	2	short	short	ADJ
ajst-20780	77	3	,	,	PUNCT
ajst-20780	77	4	the	the	DET
ajst-20780	77	5	principle	principle	NOUN
ajst-20780	77	6	of	of	ADP
ajst-20780	77	7	deblurring	deblurre	VERB
ajst-20780	77	8	algorithm	algorithm	NOUN
ajst-20780	77	9	is	be	AUX
ajst-20780	77	10	to	to	PART
ajst-20780	77	11	filter	filter	VERB
ajst-20780	77	12	the	the	DET
ajst-20780	77	13	fuzzy	fuzzy	ADJ
ajst-20780	77	14	image	image	NOUN
ajst-20780	77	15	to	to	PART
ajst-20780	77	16	recover	recover	VERB
ajst-20780	77	17	the	the	DET
ajst-20780	77	18	clear	clear	ADJ
ajst-20780	77	19	image	image	NOUN
ajst-20780	77	20	.	.	PUNCT
ajst-20780	78	1	inverse	inverse	NOUN
ajst-20780	78	2	filtering	filtering	NOUN
ajst-20780	78	3	,	,	PUNCT
ajst-20780	78	4	blind	blind	ADJ
ajst-20780	78	5	deconvolution	deconvolution	NOUN
ajst-20780	78	6	,	,	PUNCT
ajst-20780	78	7	and	and	CCONJ
ajst-20780	78	8	deep	deep	ADJ
ajst-20780	78	9	learning	learning	NOUN
ajst-20780	78	10	-	-	PUNCT
ajst-20780	78	11	based	base	VERB
ajst-20780	78	12	algorithms	algorithm	NOUN
ajst-20780	78	13	are	be	AUX
ajst-20780	78	14	common	common	ADJ
ajst-20780	78	15	deblurring	deblurring	ADJ
ajst-20780	78	16	algorithms	algorithm	NOUN
ajst-20780	78	17	.	.	PUNCT
ajst-20780	79	1	by	by	ADP
ajst-20780	79	2	studying	study	VERB
ajst-20780	79	3	the	the	DET
ajst-20780	79	4	principles	principle	NOUN
ajst-20780	79	5	of	of	ADP
ajst-20780	79	6	various	various	ADJ
ajst-20780	79	7	algorithms	algorithm	NOUN
ajst-20780	79	8	,	,	PUNCT
ajst-20780	79	9	high	high	ADJ
ajst-20780	79	10	-	-	PUNCT
ajst-20780	79	11	frame	frame	NOUN
ajst-20780	79	12	rate	rate	NOUN
ajst-20780	79	13	camera	camera	NOUN
ajst-20780	79	14	deblur	deblur	NOUN
ajst-20780	79	15	algorithms	algorithm	NOUN
ajst-20780	79	16	can	can	AUX
ajst-20780	79	17	be	be	AUX
ajst-20780	79	18	better	well	ADV
ajst-20780	79	19	understood	understand	VERB
ajst-20780	79	20	and	and	CCONJ
ajst-20780	79	21	applied	apply	VERB
ajst-20780	79	22	.	.	PUNCT
ajst-20780	80	1	3.2	3.2	NUM
ajst-20780	80	2	.	.	PUNCT
ajst-20780	81	1	classification	classification	NOUN
ajst-20780	81	2	of	of	ADP
ajst-20780	81	3	the	the	DET
ajst-20780	81	4	deblurring	deblurre	VERB
ajst-20780	81	5	algorithm	algorithm	NOUN
ajst-20780	81	6	the	the	DET
ajst-20780	81	7	classification	classification	NOUN
ajst-20780	81	8	of	of	ADP
ajst-20780	81	9	deblur	deblur	NOUN
ajst-20780	81	10	algorithms	algorithms	PROPN
ajst-20780	81	11	is	be	AUX
ajst-20780	81	12	an	an	DET
ajst-20780	81	13	important	important	ADJ
ajst-20780	81	14	aspect	aspect	NOUN
ajst-20780	81	15	when	when	SCONJ
ajst-20780	81	16	studying	study	VERB
ajst-20780	81	17	the	the	DET
ajst-20780	81	18	high	high	ADJ
ajst-20780	81	19	frame	frame	NOUN
ajst-20780	81	20	rate	rate	NOUN
ajst-20780	81	21	camera	camera	NOUN
ajst-20780	81	22	.	.	PUNCT
ajst-20780	82	1	according	accord	VERB
ajst-20780	82	2	to	to	ADP
ajst-20780	82	3	the	the	DET
ajst-20780	82	4	different	different	ADJ
ajst-20780	82	5	characteristics	characteristic	NOUN
ajst-20780	82	6	and	and	CCONJ
ajst-20780	82	7	processing	processing	NOUN
ajst-20780	82	8	principles	principle	NOUN
ajst-20780	82	9	of	of	ADP
ajst-20780	82	10	the	the	DET
ajst-20780	82	11	algorithm	algorithm	NOUN
ajst-20780	82	12	,	,	PUNCT
ajst-20780	82	13	we	we	PRON
ajst-20780	82	14	can	can	AUX
ajst-20780	82	15	divide	divide	VERB
ajst-20780	82	16	the	the	DET
ajst-20780	82	17	defuzzy	defuzzy	ADJ
ajst-20780	82	18	algorithm	algorithm	NOUN
ajst-20780	82	19	into	into	ADP
ajst-20780	82	20	several	several	ADJ
ajst-20780	82	21	different	different	ADJ
ajst-20780	82	22	classifications	classification	NOUN
ajst-20780	82	23	.	.	PUNCT
ajst-20780	83	1	first	first	ADV
ajst-20780	83	2	,	,	PUNCT
ajst-20780	83	3	a	a	DET
ajst-20780	83	4	common	common	ADJ
ajst-20780	83	5	classification	classification	NOUN
ajst-20780	83	6	method	method	NOUN
ajst-20780	83	7	is	be	AUX
ajst-20780	83	8	to	to	PART
ajst-20780	83	9	make	make	VERB
ajst-20780	83	10	the	the	DET
ajst-20780	83	11	classification	classification	NOUN
ajst-20780	83	12	according	accord	VERB
ajst-20780	83	13	to	to	ADP
ajst-20780	83	14	the	the	DET
ajst-20780	83	15	operation	operation	NOUN
ajst-20780	83	16	method	method	NOUN
ajst-20780	83	17	of	of	ADP
ajst-20780	83	18	the	the	DET
ajst-20780	83	19	deblur	deblur	NOUN
ajst-20780	83	20	algorithm	algorithm	PROPN
ajst-20780	83	21	.	.	PUNCT
ajst-20780	84	1	this	this	DET
ajst-20780	84	2	classification	classification	NOUN
ajst-20780	84	3	method	method	NOUN
ajst-20780	84	4	can	can	AUX
ajst-20780	84	5	divide	divide	VERB
ajst-20780	84	6	the	the	DET
ajst-20780	84	7	deblur	deblur	NOUN
ajst-20780	84	8	algorithm	algorithm	NOUN
ajst-20780	84	9	into	into	ADP
ajst-20780	84	10	frequency	frequency	NOUN
ajst-20780	84	11	domain	domain	NOUN
ajst-20780	84	12	-	-	PUNCT
ajst-20780	84	13	based	base	VERB
ajst-20780	84	14	and	and	CCONJ
ajst-20780	84	15	time	time	NOUN
ajst-20780	84	16	domainbased	domainbased	ADJ
ajst-20780	84	17	algorithms	algorithm	NOUN
ajst-20780	84	18	.	.	PUNCT
ajst-20780	85	1	the	the	DET
ajst-20780	85	2	frequency	frequency	NOUN
ajst-20780	85	3	domain	domain	NOUN
ajst-20780	85	4	-	-	PUNCT
ajst-20780	85	5	based	base	VERB
ajst-20780	85	6	algorithm	algorithm	NOUN
ajst-20780	85	7	mainly	mainly	ADV
ajst-20780	85	8	uses	use	VERB
ajst-20780	85	9	frequency	frequency	NOUN
ajst-20780	85	10	domain	domain	NOUN
ajst-20780	85	11	processing	processing	NOUN
ajst-20780	85	12	techniques	technique	NOUN
ajst-20780	85	13	such	such	ADJ
ajst-20780	85	14	as	as	ADP
ajst-20780	85	15	fourier	fourier	NOUN
ajst-20780	85	16	transform	transform	NOUN
ajst-20780	85	17	or	or	CCONJ
ajst-20780	85	18	wavelet	wavelet	NOUN
ajst-20780	85	19	transform	transform	NOUN
ajst-20780	85	20	to	to	PART
ajst-20780	85	21	achieve	achieve	VERB
ajst-20780	85	22	blur	blur	NOUN
ajst-20780	85	23	by	by	ADP
ajst-20780	85	24	spectral	spectral	ADJ
ajst-20780	85	25	analysis	analysis	NOUN
ajst-20780	85	26	and	and	CCONJ
ajst-20780	85	27	frequency	frequency	NOUN
ajst-20780	85	28	domain	domain	NOUN
ajst-20780	85	29	filtering	filtering	NOUN
ajst-20780	85	30	.	.	PUNCT
ajst-20780	86	1	but	but	CCONJ
ajst-20780	86	2	the	the	DET
ajst-20780	86	3	time	time	NOUN
ajst-20780	86	4	domain	domain	NOUN
ajst-20780	86	5	based	base	VERB
ajst-20780	86	6	algorithm	algorithm	NOUN
ajst-20780	86	7	processes	process	VERB
ajst-20780	86	8	the	the	DET
ajst-20780	86	9	time	time	NOUN
ajst-20780	86	10	domain	domain	NOUN
ajst-20780	86	11	56	56	NUM
ajst-20780	86	12	information	information	NOUN
ajst-20780	86	13	of	of	ADP
ajst-20780	86	14	the	the	DET
ajst-20780	86	15	image	image	NOUN
ajst-20780	86	16	,	,	PUNCT
ajst-20780	86	17	such	such	ADJ
ajst-20780	86	18	as	as	ADP
ajst-20780	86	19	motion	motion	NOUN
ajst-20780	86	20	model	model	NOUN
ajst-20780	86	21	and	and	CCONJ
ajst-20780	86	22	image	image	NOUN
ajst-20780	86	23	deconvolution	deconvolution	NOUN
ajst-20780	86	24	.	.	PUNCT
ajst-20780	87	1	secondly	secondly	ADV
ajst-20780	87	2	,	,	PUNCT
ajst-20780	87	3	another	another	DET
ajst-20780	87	4	common	common	ADJ
ajst-20780	87	5	classification	classification	NOUN
ajst-20780	87	6	method	method	NOUN
ajst-20780	87	7	is	be	AUX
ajst-20780	87	8	the	the	DET
ajst-20780	87	9	classification	classification	NOUN
ajst-20780	87	10	according	accord	VERB
ajst-20780	87	11	to	to	ADP
ajst-20780	87	12	the	the	DET
ajst-20780	87	13	use	use	NOUN
ajst-20780	87	14	data	datum	NOUN
ajst-20780	87	15	of	of	ADP
ajst-20780	87	16	the	the	DET
ajst-20780	87	17	deblur	deblur	NOUN
ajst-20780	87	18	algorithm	algorithm	PROPN
ajst-20780	87	19	.	.	PUNCT
ajst-20780	88	1	this	this	DET
ajst-20780	88	2	classification	classification	NOUN
ajst-20780	88	3	method	method	NOUN
ajst-20780	88	4	can	can	AUX
ajst-20780	88	5	divide	divide	VERB
ajst-20780	88	6	deblur	deblur	NOUN
ajst-20780	88	7	algorithms	algorithm	NOUN
ajst-20780	88	8	into	into	ADP
ajst-20780	88	9	those	those	PRON
ajst-20780	88	10	based	base	VERB
ajst-20780	88	11	on	on	ADP
ajst-20780	88	12	single	single	ADJ
ajst-20780	88	13	images	image	NOUN
ajst-20780	88	14	and	and	CCONJ
ajst-20780	88	15	multiple	multiple	ADJ
ajst-20780	88	16	images	image	NOUN
ajst-20780	88	17	.	.	PUNCT
ajst-20780	89	1	the	the	DET
ajst-20780	89	2	algorithm	algorithm	NOUN
ajst-20780	89	3	based	base	VERB
ajst-20780	89	4	on	on	ADP
ajst-20780	89	5	single	single	ADJ
ajst-20780	89	6	images	image	NOUN
ajst-20780	89	7	mainly	mainly	ADV
ajst-20780	89	8	uses	use	VERB
ajst-20780	89	9	the	the	DET
ajst-20780	89	10	input	input	NOUN
ajst-20780	89	11	information	information	NOUN
ajst-20780	89	12	of	of	ADP
ajst-20780	89	13	the	the	DET
ajst-20780	89	14	image	image	NOUN
ajst-20780	89	15	itself	itself	PRON
ajst-20780	89	16	to	to	PART
ajst-20780	89	17	remove	remove	VERB
ajst-20780	89	18	the	the	DET
ajst-20780	89	19	clear	clear	ADJ
ajst-20780	89	20	images	image	NOUN
ajst-20780	89	21	,	,	PUNCT
ajst-20780	89	22	for	for	ADP
ajst-20780	89	23	example	example	NOUN
ajst-20780	89	24	,	,	PUNCT
ajst-20780	89	25	by	by	ADP
ajst-20780	89	26	estimating	estimate	VERB
ajst-20780	89	27	the	the	DET
ajst-20780	89	28	motion	motion	NOUN
ajst-20780	89	29	blur	blur	NOUN
ajst-20780	89	30	function	function	NOUN
ajst-20780	89	31	.	.	PUNCT
ajst-20780	90	1	the	the	DET
ajst-20780	90	2	algorithm	algorithm	NOUN
ajst-20780	90	3	based	base	VERB
ajst-20780	90	4	on	on	ADP
ajst-20780	90	5	multiple	multiple	ADJ
ajst-20780	90	6	images	image	NOUN
ajst-20780	90	7	uses	use	VERB
ajst-20780	90	8	the	the	DET
ajst-20780	90	9	information	information	NOUN
ajst-20780	90	10	of	of	ADP
ajst-20780	90	11	multiple	multiple	ADJ
ajst-20780	90	12	image	image	NOUN
ajst-20780	90	13	sequences	sequence	NOUN
ajst-20780	90	14	to	to	ADP
ajst-20780	90	15	deblur	deblur	NOUN
ajst-20780	90	16	processing	processing	NOUN
ajst-20780	90	17	,	,	PUNCT
ajst-20780	90	18	such	such	ADJ
ajst-20780	90	19	as	as	ADP
ajst-20780	90	20	through	through	ADP
ajst-20780	90	21	the	the	DET
ajst-20780	90	22	alignment	alignment	NOUN
ajst-20780	90	23	and	and	CCONJ
ajst-20780	90	24	fusion	fusion	NOUN
ajst-20780	90	25	of	of	ADP
ajst-20780	90	26	the	the	DET
ajst-20780	90	27	image	image	NOUN
ajst-20780	90	28	sequences	sequence	NOUN
ajst-20780	90	29	.	.	PUNCT
ajst-20780	91	1	finally	finally	ADV
ajst-20780	91	2	,	,	PUNCT
ajst-20780	91	3	there	there	PRON
ajst-20780	91	4	is	be	VERB
ajst-20780	91	5	another	another	DET
ajst-20780	91	6	classification	classification	NOUN
ajst-20780	91	7	method	method	NOUN
ajst-20780	91	8	according	accord	VERB
ajst-20780	91	9	to	to	ADP
ajst-20780	91	10	the	the	DET
ajst-20780	91	11	complexity	complexity	NOUN
ajst-20780	91	12	of	of	ADP
ajst-20780	91	13	the	the	DET
ajst-20780	91	14	deblurring	deblurring	ADJ
ajst-20780	91	15	algorithm	algorithm	NOUN
ajst-20780	91	16	.	.	PUNCT
ajst-20780	92	1	this	this	DET
ajst-20780	92	2	classification	classification	NOUN
ajst-20780	92	3	method	method	NOUN
ajst-20780	92	4	can	can	AUX
ajst-20780	92	5	divide	divide	VERB
ajst-20780	92	6	the	the	DET
ajst-20780	92	7	defuzzy	defuzzy	ADJ
ajst-20780	92	8	algorithm	algorithm	NOUN
ajst-20780	92	9	into	into	ADP
ajst-20780	92	10	iterative	iterative	ADJ
ajst-20780	92	11	algorithm	algorithm	NOUN
ajst-20780	92	12	and	and	CCONJ
ajst-20780	92	13	non	non	ADJ
ajst-20780	92	14	-	-	ADJ
ajst-20780	92	15	iterative	iterative	ADJ
ajst-20780	92	16	algorithm	algorithm	NOUN
ajst-20780	92	17	.	.	PUNCT
ajst-20780	93	1	iterative	iterative	NOUN
ajst-20780	93	2	algorithms	algorithm	NOUN
ajst-20780	93	3	usually	usually	ADV
ajst-20780	93	4	require	require	VERB
ajst-20780	93	5	an	an	DET
ajst-20780	93	6	iterative	iterative	NOUN
ajst-20780	93	7	process	process	NOUN
ajst-20780	93	8	to	to	PART
ajst-20780	93	9	gradually	gradually	ADV
ajst-20780	93	10	optimize	optimize	VERB
ajst-20780	93	11	the	the	DET
ajst-20780	93	12	defuzzy	defuzzy	PROPN
ajst-20780	93	13	results	result	NOUN
ajst-20780	93	14	,	,	PUNCT
ajst-20780	93	15	such	such	ADJ
ajst-20780	93	16	as	as	ADP
ajst-20780	93	17	using	use	VERB
ajst-20780	93	18	least	least	ADJ
ajst-20780	93	19	squares	square	NOUN
ajst-20780	93	20	or	or	CCONJ
ajst-20780	93	21	gradient	gradient	ADJ
ajst-20780	93	22	descent	descent	NOUN
ajst-20780	93	23	methods	method	NOUN
ajst-20780	93	24	.	.	PUNCT
ajst-20780	94	1	however	however	ADV
ajst-20780	94	2	,	,	PUNCT
ajst-20780	94	3	the	the	DET
ajst-20780	94	4	non	non	ADJ
ajst-20780	94	5	-	-	ADJ
ajst-20780	94	6	iterative	iterative	ADJ
ajst-20780	94	7	algorithm	algorithm	NOUN
ajst-20780	94	8	uses	use	VERB
ajst-20780	94	9	the	the	DET
ajst-20780	94	10	one	one	NUM
ajst-20780	94	11	-	-	PUNCT
ajst-20780	94	12	time	time	NOUN
ajst-20780	94	13	processing	processing	NOUN
ajst-20780	94	14	process	process	NOUN
ajst-20780	94	15	,	,	PUNCT
ajst-20780	94	16	such	such	ADJ
ajst-20780	94	17	as	as	ADP
ajst-20780	94	18	using	use	VERB
ajst-20780	94	19	the	the	DET
ajst-20780	94	20	partial	partial	ADJ
ajst-20780	94	21	differential	differential	NOUN
ajst-20780	94	22	equation	equation	NOUN
ajst-20780	94	23	-	-	PUNCT
ajst-20780	94	24	based	base	VERB
ajst-20780	94	25	method	method	NOUN
ajst-20780	94	26	or	or	CCONJ
ajst-20780	94	27	the	the	DET
ajst-20780	94	28	fast	fast	ADJ
ajst-20780	94	29	fuzzy	fuzzy	ADJ
ajst-20780	94	30	estimation	estimation	NOUN
ajst-20780	94	31	algorithm	algorithm	NOUN
ajst-20780	94	32	.	.	PUNCT
ajst-20780	95	1	to	to	PART
ajst-20780	95	2	sum	sum	VERB
ajst-20780	95	3	up	up	ADP
ajst-20780	95	4	,	,	PUNCT
ajst-20780	95	5	we	we	PRON
ajst-20780	95	6	can	can	AUX
ajst-20780	95	7	classify	classify	VERB
ajst-20780	95	8	the	the	DET
ajst-20780	95	9	deblurring	deblurre	VERB
ajst-20780	95	10	algorithm	algorithm	NOUN
ajst-20780	95	11	into	into	ADP
ajst-20780	95	12	different	different	ADJ
ajst-20780	95	13	categories	category	NOUN
ajst-20780	95	14	according	accord	VERB
ajst-20780	95	15	to	to	ADP
ajst-20780	95	16	the	the	DET
ajst-20780	95	17	different	different	ADJ
ajst-20780	95	18	operation	operation	NOUN
ajst-20780	95	19	methods	method	NOUN
ajst-20780	95	20	,	,	PUNCT
ajst-20780	95	21	data	datum	NOUN
ajst-20780	95	22	use	use	NOUN
ajst-20780	95	23	and	and	CCONJ
ajst-20780	95	24	complexity	complexity	NOUN
ajst-20780	95	25	.	.	PUNCT
ajst-20780	96	1	the	the	DET
ajst-20780	96	2	algorithms	algorithm	NOUN
ajst-20780	96	3	of	of	ADP
ajst-20780	96	4	different	different	ADJ
ajst-20780	96	5	classifications	classification	NOUN
ajst-20780	96	6	have	have	VERB
ajst-20780	96	7	their	their	PRON
ajst-20780	96	8	own	own	ADJ
ajst-20780	96	9	characteristics	characteristic	NOUN
ajst-20780	96	10	and	and	CCONJ
ajst-20780	96	11	applicable	applicable	ADJ
ajst-20780	96	12	scenarios	scenario	NOUN
ajst-20780	96	13	,	,	PUNCT
ajst-20780	96	14	so	so	ADV
ajst-20780	96	15	studying	study	VERB
ajst-20780	96	16	and	and	CCONJ
ajst-20780	96	17	comparing	compare	VERB
ajst-20780	96	18	these	these	DET
ajst-20780	96	19	algorithms	algorithm	NOUN
ajst-20780	96	20	will	will	AUX
ajst-20780	96	21	help	help	VERB
ajst-20780	96	22	us	we	PRON
ajst-20780	96	23	to	to	PART
ajst-20780	96	24	better	well	ADV
ajst-20780	96	25	understand	understand	VERB
ajst-20780	96	26	and	and	CCONJ
ajst-20780	96	27	apply	apply	VERB
ajst-20780	96	28	the	the	DET
ajst-20780	96	29	deblur	deblur	NOUN
ajst-20780	96	30	algorithms	algorithm	NOUN
ajst-20780	96	31	.	.	PUNCT
ajst-20780	97	1	3.3	3.3	NUM
ajst-20780	97	2	.	.	PUNCT
ajst-20780	98	1	the	the	DET
ajst-20780	98	2	challenge	challenge	NOUN
ajst-20780	98	3	of	of	ADP
ajst-20780	98	4	deblurring	deblurre	VERB
ajst-20780	98	5	algorithms	algorithm	NOUN
ajst-20780	98	6	we	we	PRON
ajst-20780	98	7	face	face	VERB
ajst-20780	98	8	many	many	ADJ
ajst-20780	98	9	challenges	challenge	NOUN
ajst-20780	98	10	in	in	ADP
ajst-20780	98	11	studying	study	VERB
ajst-20780	98	12	and	and	CCONJ
ajst-20780	98	13	applying	apply	VERB
ajst-20780	98	14	deblurring	deblurre	VERB
ajst-20780	98	15	algorithms	algorithm	NOUN
ajst-20780	98	16	.	.	PUNCT
ajst-20780	99	1	these	these	DET
ajst-20780	99	2	challenges	challenge	NOUN
ajst-20780	99	3	mainly	mainly	ADV
ajst-20780	99	4	involve	involve	VERB
ajst-20780	99	5	aspects	aspect	NOUN
ajst-20780	99	6	of	of	ADP
ajst-20780	99	7	algorithm	algorithm	NOUN
ajst-20780	99	8	complexity	complexity	NOUN
ajst-20780	99	9	,	,	PUNCT
ajst-20780	99	10	image	image	NOUN
ajst-20780	99	11	quality	quality	NOUN
ajst-20780	99	12	,	,	PUNCT
ajst-20780	99	13	and	and	CCONJ
ajst-20780	99	14	real	real	ADJ
ajst-20780	99	15	-	-	PUNCT
ajst-20780	99	16	time	time	NOUN
ajst-20780	99	17	performance	performance	NOUN
ajst-20780	99	18	.	.	PUNCT
ajst-20780	100	1	first	first	ADV
ajst-20780	100	2	,	,	PUNCT
ajst-20780	100	3	the	the	DET
ajst-20780	100	4	algorithmic	algorithmic	ADJ
ajst-20780	100	5	complexity	complexity	NOUN
ajst-20780	100	6	is	be	AUX
ajst-20780	100	7	an	an	DET
ajst-20780	100	8	important	important	ADJ
ajst-20780	100	9	challenge	challenge	NOUN
ajst-20780	100	10	.	.	PUNCT
ajst-20780	101	1	with	with	ADP
ajst-20780	101	2	the	the	DET
ajst-20780	101	3	continuous	continuous	ADJ
ajst-20780	101	4	development	development	NOUN
ajst-20780	101	5	of	of	ADP
ajst-20780	101	6	computer	computer	NOUN
ajst-20780	101	7	hardware	hardware	NOUN
ajst-20780	101	8	and	and	CCONJ
ajst-20780	101	9	image	image	NOUN
ajst-20780	101	10	processing	processing	NOUN
ajst-20780	101	11	technology	technology	NOUN
ajst-20780	101	12	,	,	PUNCT
ajst-20780	101	13	the	the	DET
ajst-20780	101	14	deof	deof	ADJ
ajst-20780	101	15	algorithm	algorithm	NOUN
ajst-20780	101	16	are	be	AUX
ajst-20780	101	17	are	be	AUX
ajst-20780	101	18	increasing	increase	VERB
ajst-20780	101	19	.	.	PUNCT
ajst-20780	102	1	however	however	ADV
ajst-20780	102	2	,	,	PUNCT
ajst-20780	102	3	in	in	ADP
ajst-20780	102	4	order	order	NOUN
ajst-20780	102	5	to	to	PART
ajst-20780	102	6	achieve	achieve	VERB
ajst-20780	102	7	high	high	ADJ
ajst-20780	102	8	quality	quality	NOUN
ajst-20780	102	9	blur	blur	NOUN
ajst-20780	102	10	,	,	PUNCT
ajst-20780	102	11	algorithms	algorithm	NOUN
ajst-20780	102	12	often	often	ADV
ajst-20780	102	13	require	require	VERB
ajst-20780	102	14	complex	complex	ADJ
ajst-20780	102	15	mathematical	mathematical	ADJ
ajst-20780	102	16	operations	operation	NOUN
ajst-20780	102	17	and	and	CCONJ
ajst-20780	102	18	image	image	NOUN
ajst-20780	102	19	processing	processing	NOUN
ajst-20780	102	20	operations	operation	NOUN
ajst-20780	102	21	.	.	PUNCT
ajst-20780	103	1	this	this	PRON
ajst-20780	103	2	requires	require	VERB
ajst-20780	103	3	us	we	PRON
ajst-20780	103	4	to	to	PART
ajst-20780	103	5	design	design	VERB
ajst-20780	103	6	the	the	DET
ajst-20780	103	7	algorithm	algorithm	NOUN
ajst-20780	103	8	with	with	ADP
ajst-20780	103	9	the	the	DET
ajst-20780	103	10	complexity	complexity	NOUN
ajst-20780	103	11	and	and	CCONJ
ajst-20780	103	12	real	real	ADJ
ajst-20780	103	13	-	-	PUNCT
ajst-20780	103	14	time	time	NOUN
ajst-20780	103	15	nature	nature	NOUN
ajst-20780	103	16	of	of	ADP
ajst-20780	103	17	the	the	DET
ajst-20780	103	18	algorithm	algorithm	NOUN
ajst-20780	103	19	,	,	PUNCT
ajst-20780	103	20	to	to	PART
ajst-20780	103	21	ensure	ensure	VERB
ajst-20780	103	22	that	that	SCONJ
ajst-20780	103	23	it	it	PRON
ajst-20780	103	24	can	can	AUX
ajst-20780	103	25	run	run	VERB
ajst-20780	103	26	efficiently	efficiently	ADV
ajst-20780	103	27	in	in	ADP
ajst-20780	103	28	practical	practical	ADJ
ajst-20780	103	29	application	application	NOUN
ajst-20780	103	30	.	.	PUNCT
ajst-20780	104	1	second	second	ADJ
ajst-20780	104	2	,	,	PUNCT
ajst-20780	104	3	image	image	NOUN
ajst-20780	104	4	quality	quality	NOUN
ajst-20780	104	5	is	be	AUX
ajst-20780	104	6	another	another	DET
ajst-20780	104	7	challenge	challenge	NOUN
ajst-20780	104	8	to	to	PART
ajst-20780	104	9	be	be	AUX
ajst-20780	104	10	considered	consider	VERB
ajst-20780	104	11	.	.	PUNCT
ajst-20780	105	1	the	the	DET
ajst-20780	105	2	goal	goal	NOUN
ajst-20780	105	3	of	of	ADP
ajst-20780	105	4	the	the	DET
ajst-20780	105	5	deblurring	deblurre	VERB
ajst-20780	105	6	algorithm	algorithm	NOUN
ajst-20780	105	7	is	be	AUX
ajst-20780	105	8	to	to	PART
ajst-20780	105	9	restore	restore	VERB
ajst-20780	105	10	the	the	DET
ajst-20780	105	11	clarity	clarity	NOUN
ajst-20780	105	12	of	of	ADP
ajst-20780	105	13	the	the	DET
ajst-20780	105	14	image	image	NOUN
ajst-20780	105	15	,	,	PUNCT
ajst-20780	105	16	however	however	ADV
ajst-20780	105	17	,	,	PUNCT
ajst-20780	105	18	in	in	ADP
ajst-20780	105	19	practical	practical	ADJ
ajst-20780	105	20	cases	case	NOUN
ajst-20780	105	21	,	,	PUNCT
ajst-20780	105	22	the	the	DET
ajst-20780	105	23	image	image	NOUN
ajst-20780	105	24	may	may	AUX
ajst-20780	105	25	be	be	AUX
ajst-20780	105	26	disturbed	disturb	VERB
ajst-20780	105	27	by	by	ADP
ajst-20780	105	28	multiple	multiple	ADJ
ajst-20780	105	29	factors	factor	NOUN
ajst-20780	105	30	,	,	PUNCT
ajst-20780	105	31	such	such	ADJ
ajst-20780	105	32	as	as	ADP
ajst-20780	105	33	noise	noise	NOUN
ajst-20780	105	34	,	,	PUNCT
ajst-20780	105	35	motion	motion	NOUN
ajst-20780	105	36	blur	blur	NOUN
ajst-20780	105	37	,	,	PUNCT
ajst-20780	105	38	etc	etc	X
ajst-20780	105	39	.	.	X
ajst-20780	106	1	these	these	DET
ajst-20780	106	2	interference	interference	NOUN
ajst-20780	106	3	factors	factor	NOUN
ajst-20780	106	4	will	will	AUX
ajst-20780	106	5	have	have	VERB
ajst-20780	106	6	some	some	DET
ajst-20780	106	7	influence	influence	NOUN
ajst-20780	106	8	on	on	ADP
ajst-20780	106	9	the	the	DET
ajst-20780	106	10	effect	effect	NOUN
ajst-20780	106	11	of	of	ADP
ajst-20780	106	12	the	the	DET
ajst-20780	106	13	deblurring	deblurring	ADJ
ajst-20780	106	14	algorithm	algorithm	NOUN
ajst-20780	106	15	.	.	PUNCT
ajst-20780	107	1	therefore	therefore	ADV
ajst-20780	107	2	,	,	PUNCT
ajst-20780	107	3	we	we	PRON
ajst-20780	107	4	need	need	VERB
ajst-20780	107	5	to	to	PART
ajst-20780	107	6	design	design	VERB
ajst-20780	107	7	more	more	ADV
ajst-20780	107	8	robust	robust	ADJ
ajst-20780	107	9	algorithms	algorithm	NOUN
ajst-20780	107	10	that	that	PRON
ajst-20780	107	11	can	can	AUX
ajst-20780	107	12	effectively	effectively	ADV
ajst-20780	107	13	deal	deal	VERB
ajst-20780	107	14	with	with	ADP
ajst-20780	107	15	various	various	ADJ
ajst-20780	107	16	image	image	NOUN
ajst-20780	107	17	quality	quality	NOUN
ajst-20780	107	18	problems	problem	NOUN
ajst-20780	107	19	and	and	CCONJ
ajst-20780	107	20	improve	improve	VERB
ajst-20780	107	21	image	image	NOUN
ajst-20780	107	22	clarity	clarity	NOUN
ajst-20780	107	23	and	and	CCONJ
ajst-20780	107	24	visibility	visibility	NOUN
ajst-20780	107	25	.	.	PUNCT
ajst-20780	108	1	in	in	ADP
ajst-20780	108	2	addition	addition	NOUN
ajst-20780	108	3	,	,	PUNCT
ajst-20780	108	4	real	real	ADJ
ajst-20780	108	5	-	-	PUNCT
ajst-20780	108	6	time	time	NOUN
ajst-20780	108	7	performance	performance	NOUN
ajst-20780	108	8	is	be	AUX
ajst-20780	108	9	also	also	ADV
ajst-20780	108	10	a	a	DET
ajst-20780	108	11	key	key	ADJ
ajst-20780	108	12	challenge	challenge	NOUN
ajst-20780	108	13	.	.	PUNCT
ajst-20780	109	1	with	with	ADP
ajst-20780	109	2	the	the	DET
ajst-20780	109	3	popularity	popularity	NOUN
ajst-20780	109	4	and	and	CCONJ
ajst-20780	109	5	expansion	expansion	NOUN
ajst-20780	109	6	of	of	ADP
ajst-20780	109	7	high	high	ADJ
ajst-20780	109	8	frame	frame	NOUN
ajst-20780	109	9	rate	rate	NOUN
ajst-20780	109	10	cameras	camera	NOUN
ajst-20780	109	11	,	,	PUNCT
ajst-20780	109	12	the	the	DET
ajst-20780	109	13	real	real	ADJ
ajst-20780	109	14	-	-	PUNCT
ajst-20780	109	15	time	time	NOUN
ajst-20780	109	16	requirements	requirement	NOUN
ajst-20780	109	17	of	of	ADP
ajst-20780	109	18	deblurring	deblurre	VERB
ajst-20780	109	19	algorithms	algorithm	NOUN
ajst-20780	109	20	are	be	AUX
ajst-20780	109	21	becoming	become	VERB
ajst-20780	109	22	higher	high	ADJ
ajst-20780	109	23	and	and	CCONJ
ajst-20780	109	24	higher	high	ADJ
ajst-20780	109	25	.	.	PUNCT
ajst-20780	110	1	however	however	ADV
ajst-20780	110	2	,	,	PUNCT
ajst-20780	110	3	during	during	ADP
ajst-20780	110	4	large	large	ADJ
ajst-20780	110	5	-	-	PUNCT
ajst-20780	110	6	scale	scale	NOUN
ajst-20780	110	7	image	image	NOUN
ajst-20780	110	8	processing	processing	NOUN
ajst-20780	110	9	,	,	PUNCT
ajst-20780	110	10	the	the	DET
ajst-20780	110	11	computational	computational	ADJ
ajst-20780	110	12	complexity	complexity	NOUN
ajst-20780	110	13	of	of	ADP
ajst-20780	110	14	the	the	DET
ajst-20780	110	15	algorithm	algorithm	NOUN
ajst-20780	110	16	increases	increase	NOUN
ajst-20780	110	17	,	,	PUNCT
ajst-20780	110	18	leading	lead	VERB
ajst-20780	110	19	in	in	ADP
ajst-20780	110	20	longer	long	ADJ
ajst-20780	110	21	processing	processing	NOUN
ajst-20780	110	22	times	time	NOUN
ajst-20780	110	23	.	.	PUNCT
ajst-20780	111	1	therefore	therefore	ADV
ajst-20780	111	2	,	,	PUNCT
ajst-20780	111	3	we	we	PRON
ajst-20780	111	4	need	need	VERB
ajst-20780	111	5	to	to	PART
ajst-20780	111	6	find	find	VERB
ajst-20780	111	7	more	more	ADV
ajst-20780	111	8	efficient	efficient	ADJ
ajst-20780	111	9	algorithms	algorithm	NOUN
ajst-20780	111	10	or	or	CCONJ
ajst-20780	111	11	optimize	optimize	VERB
ajst-20780	111	12	the	the	DET
ajst-20780	111	13	existing	exist	VERB
ajst-20780	111	14	algorithms	algorithm	NOUN
ajst-20780	111	15	to	to	PART
ajst-20780	111	16	meet	meet	VERB
ajst-20780	111	17	the	the	DET
ajst-20780	111	18	requirements	requirement	NOUN
ajst-20780	111	19	of	of	ADP
ajst-20780	111	20	real	real	ADJ
ajst-20780	111	21	-	-	PUNCT
ajst-20780	111	22	time	time	NOUN
ajst-20780	111	23	processing	processing	NOUN
ajst-20780	111	24	.	.	PUNCT
ajst-20780	112	1	in	in	ADP
ajst-20780	112	2	addition	addition	NOUN
ajst-20780	112	3	to	to	ADP
ajst-20780	112	4	the	the	DET
ajst-20780	112	5	above	above	ADJ
ajst-20780	112	6	challenges	challenge	NOUN
ajst-20780	112	7	,	,	PUNCT
ajst-20780	112	8	deblur	deblur	NOUN
ajst-20780	112	9	algorithms	algorithm	NOUN
ajst-20780	112	10	need	need	VERB
ajst-20780	112	11	to	to	PART
ajst-20780	112	12	take	take	VERB
ajst-20780	112	13	into	into	ADP
ajst-20780	112	14	account	account	NOUN
ajst-20780	112	15	practical	practical	ADJ
ajst-20780	112	16	application	application	NOUN
ajst-20780	112	17	scenarios	scenario	NOUN
ajst-20780	112	18	and	and	CCONJ
ajst-20780	112	19	requirements	requirement	NOUN
ajst-20780	112	20	.	.	PUNCT
ajst-20780	113	1	for	for	ADP
ajst-20780	113	2	example	example	NOUN
ajst-20780	113	3	,	,	PUNCT
ajst-20780	113	4	in	in	ADP
ajst-20780	113	5	moving	move	VERB
ajst-20780	113	6	images	image	NOUN
ajst-20780	113	7	or	or	CCONJ
ajst-20780	113	8	low	low	ADJ
ajst-20780	113	9	-	-	PUNCT
ajst-20780	113	10	light	light	NOUN
ajst-20780	113	11	conditions	condition	NOUN
ajst-20780	113	12	,	,	PUNCT
ajst-20780	113	13	the	the	DET
ajst-20780	113	14	algorithm	algorithm	NOUN
ajst-20780	113	15	may	may	AUX
ajst-20780	113	16	face	face	VERB
ajst-20780	113	17	more	more	ADJ
ajst-20780	113	18	complex	complex	ADJ
ajst-20780	113	19	situations	situation	NOUN
ajst-20780	113	20	and	and	CCONJ
ajst-20780	113	21	require	require	VERB
ajst-20780	113	22	more	more	ADV
ajst-20780	113	23	advanced	advanced	ADJ
ajst-20780	113	24	processing	processing	NOUN
ajst-20780	113	25	techniques	technique	NOUN
ajst-20780	113	26	.	.	PUNCT
ajst-20780	114	1	in	in	ADP
ajst-20780	114	2	addition	addition	NOUN
ajst-20780	114	3	,	,	PUNCT
ajst-20780	114	4	the	the	DET
ajst-20780	114	5	tunability	tunability	NOUN
ajst-20780	114	6	and	and	CCONJ
ajst-20780	114	7	practicability	practicability	NOUN
ajst-20780	114	8	of	of	ADP
ajst-20780	114	9	the	the	DET
ajst-20780	114	10	deblurring	deblurring	ADJ
ajst-20780	114	11	algorithm	algorithm	NOUN
ajst-20780	114	12	are	be	AUX
ajst-20780	114	13	also	also	ADV
ajst-20780	114	14	factors	factor	NOUN
ajst-20780	114	15	to	to	PART
ajst-20780	114	16	be	be	AUX
ajst-20780	114	17	considered	consider	VERB
ajst-20780	114	18	.	.	PUNCT
ajst-20780	115	1	in	in	ADP
ajst-20780	115	2	conclusion	conclusion	NOUN
ajst-20780	115	3	,	,	PUNCT
ajst-20780	115	4	the	the	DET
ajst-20780	115	5	study	study	NOUN
ajst-20780	115	6	of	of	ADP
ajst-20780	115	7	deblurring	deblurre	VERB
ajst-20780	115	8	algorithms	algorithm	NOUN
ajst-20780	115	9	faces	face	VERB
ajst-20780	115	10	many	many	ADJ
ajst-20780	115	11	challenges	challenge	NOUN
ajst-20780	115	12	.	.	PUNCT
ajst-20780	116	1	when	when	SCONJ
ajst-20780	116	2	designing	design	VERB
ajst-20780	116	3	the	the	DET
ajst-20780	116	4	algorithm	algorithm	NOUN
ajst-20780	116	5	,	,	PUNCT
ajst-20780	116	6	we	we	PRON
ajst-20780	116	7	need	need	VERB
ajst-20780	116	8	to	to	PART
ajst-20780	116	9	consider	consider	VERB
ajst-20780	116	10	the	the	DET
ajst-20780	116	11	algorithm	algorithm	NOUN
ajst-20780	116	12	complexity	complexity	NOUN
ajst-20780	116	13	,	,	PUNCT
ajst-20780	116	14	image	image	NOUN
ajst-20780	116	15	quality	quality	NOUN
ajst-20780	116	16	and	and	CCONJ
ajst-20780	116	17	realtime	realtime	NOUN
ajst-20780	116	18	performance	performance	NOUN
ajst-20780	116	19	,	,	PUNCT
ajst-20780	116	20	and	and	CCONJ
ajst-20780	116	21	combine	combine	VERB
ajst-20780	116	22	the	the	DET
ajst-20780	116	23	needs	need	NOUN
ajst-20780	116	24	of	of	ADP
ajst-20780	116	25	practical	practical	ADJ
ajst-20780	116	26	application	application	NOUN
ajst-20780	116	27	to	to	PART
ajst-20780	116	28	improve	improve	VERB
ajst-20780	116	29	the	the	DET
ajst-20780	116	30	effect	effect	NOUN
ajst-20780	116	31	and	and	CCONJ
ajst-20780	116	32	performance	performance	NOUN
ajst-20780	116	33	of	of	ADP
ajst-20780	116	34	the	the	DET
ajst-20780	116	35	algorithm	algorithm	NOUN
ajst-20780	116	36	.	.	PUNCT
ajst-20780	117	1	only	only	ADV
ajst-20780	117	2	in	in	ADP
ajst-20780	117	3	this	this	DET
ajst-20780	117	4	way	way	NOUN
ajst-20780	117	5	can	can	AUX
ajst-20780	117	6	the	the	DET
ajst-20780	117	7	algorithm	algorithm	NOUN
ajst-20780	117	8	be	be	AUX
ajst-20780	117	9	better	well	ADV
ajst-20780	117	10	applied	apply	VERB
ajst-20780	117	11	to	to	PART
ajst-20780	117	12	improve	improve	VERB
ajst-20780	117	13	the	the	DET
ajst-20780	117	14	quality	quality	NOUN
ajst-20780	117	15	and	and	CCONJ
ajst-20780	117	16	efficiency	efficiency	NOUN
ajst-20780	117	17	of	of	ADP
ajst-20780	117	18	real	real	ADJ
ajst-20780	117	19	-	-	PUNCT
ajst-20780	117	20	time	time	NOUN
ajst-20780	117	21	image	image	NOUN
ajst-20780	117	22	processing	processing	NOUN
ajst-20780	117	23	.	.	PUNCT
ajst-20780	118	1	4	4	X
ajst-20780	118	2	.	.	X
ajst-20780	118	3	optimization	optimization	NOUN
ajst-20780	118	4	of	of	ADP
ajst-20780	118	5	deblurring	deblurre	VERB
ajst-20780	118	6	algorithm	algorithm	NOUN
ajst-20780	118	7	for	for	ADP
ajst-20780	118	8	high	high	ADJ
ajst-20780	118	9	frame	frame	NOUN
ajst-20780	118	10	rate	rate	NOUN
ajst-20780	118	11	camera	camera	NOUN
ajst-20780	118	12	4.1	4.1	NUM
ajst-20780	118	13	.	.	PUNCT
ajst-20780	119	1	algorithm	algorithm	NOUN
ajst-20780	119	2	optimization	optimization	NOUN
ajst-20780	119	3	strategy	strategy	NOUN
ajst-20780	119	4	in	in	ADP
ajst-20780	119	5	order	order	NOUN
ajst-20780	119	6	to	to	PART
ajst-20780	119	7	improve	improve	VERB
ajst-20780	119	8	the	the	DET
ajst-20780	119	9	effect	effect	NOUN
ajst-20780	119	10	of	of	ADP
ajst-20780	119	11	deblurring	deblurre	VERB
ajst-20780	119	12	algorithm	algorithm	NOUN
ajst-20780	119	13	for	for	ADP
ajst-20780	119	14	high	high	ADJ
ajst-20780	119	15	frame	frame	NOUN
ajst-20780	119	16	rate	rate	NOUN
ajst-20780	119	17	camera	camera	NOUN
ajst-20780	119	18	,	,	PUNCT
ajst-20780	119	19	this	this	DET
ajst-20780	119	20	chapter	chapter	NOUN
ajst-20780	119	21	studies	study	VERB
ajst-20780	119	22	the	the	DET
ajst-20780	119	23	optimization	optimization	NOUN
ajst-20780	119	24	strategy	strategy	NOUN
ajst-20780	119	25	for	for	ADP
ajst-20780	119	26	the	the	DET
ajst-20780	119	27	existing	exist	VERB
ajst-20780	119	28	algorithms	algorithm	NOUN
ajst-20780	119	29	.	.	PUNCT
ajst-20780	120	1	first	first	ADV
ajst-20780	120	2	,	,	PUNCT
ajst-20780	120	3	we	we	PRON
ajst-20780	120	4	adopted	adopt	VERB
ajst-20780	120	5	a	a	DET
ajst-20780	120	6	hierarchical	hierarchical	ADJ
ajst-20780	120	7	processing	processing	NOUN
ajst-20780	120	8	approach	approach	NOUN
ajst-20780	120	9	,	,	PUNCT
ajst-20780	120	10	dividing	divide	VERB
ajst-20780	120	11	the	the	DET
ajst-20780	120	12	images	image	NOUN
ajst-20780	120	13	into	into	ADP
ajst-20780	120	14	multiple	multiple	ADJ
ajst-20780	120	15	levels	level	NOUN
ajst-20780	120	16	for	for	ADP
ajst-20780	120	17	processing	processing	NOUN
ajst-20780	120	18	.	.	PUNCT
ajst-20780	121	1	specifically	specifically	ADV
ajst-20780	121	2	,	,	PUNCT
ajst-20780	121	3	we	we	PRON
ajst-20780	121	4	divide	divide	VERB
ajst-20780	121	5	the	the	DET
ajst-20780	121	6	image	image	NOUN
ajst-20780	121	7	according	accord	VERB
ajst-20780	121	8	to	to	ADP
ajst-20780	121	9	the	the	DET
ajst-20780	121	10	high	high	ADJ
ajst-20780	121	11	-	-	PUNCT
ajst-20780	121	12	frequency	frequency	NOUN
ajst-20780	121	13	and	and	CCONJ
ajst-20780	121	14	low	low	ADJ
ajst-20780	121	15	-	-	PUNCT
ajst-20780	121	16	frequency	frequency	NOUN
ajst-20780	121	17	information	information	NOUN
ajst-20780	121	18	in	in	ADP
ajst-20780	121	19	the	the	DET
ajst-20780	121	20	frequency	frequency	NOUN
ajst-20780	121	21	domain	domain	NOUN
ajst-20780	121	22	,	,	PUNCT
ajst-20780	121	23	and	and	CCONJ
ajst-20780	121	24	then	then	ADV
ajst-20780	121	25	adopt	adopt	VERB
ajst-20780	121	26	different	different	ADJ
ajst-20780	121	27	processing	processing	NOUN
ajst-20780	121	28	strategies	strategy	NOUN
ajst-20780	121	29	for	for	ADP
ajst-20780	121	30	different	different	ADJ
ajst-20780	121	31	frequency	frequency	NOUN
ajst-20780	121	32	domain	domain	NOUN
ajst-20780	121	33	information	information	NOUN
ajst-20780	121	34	.	.	PUNCT
ajst-20780	122	1	for	for	ADP
ajst-20780	122	2	high	high	ADJ
ajst-20780	122	3	-	-	PUNCT
ajst-20780	122	4	frequency	frequency	NOUN
ajst-20780	122	5	information	information	NOUN
ajst-20780	122	6	,	,	PUNCT
ajst-20780	122	7	we	we	PRON
ajst-20780	122	8	adopted	adopt	VERB
ajst-20780	122	9	an	an	DET
ajst-20780	122	10	algorithm	algorithm	NOUN
ajst-20780	122	11	for	for	ADP
ajst-20780	122	12	edge	edge	NOUN
ajst-20780	122	13	enhancement	enhancement	NOUN
ajst-20780	122	14	and	and	CCONJ
ajst-20780	122	15	detail	detail	NOUN
ajst-20780	122	16	recovery	recovery	NOUN
ajst-20780	122	17	.	.	PUNCT
ajst-20780	123	1	by	by	ADP
ajst-20780	123	2	extracting	extract	VERB
ajst-20780	123	3	the	the	DET
ajst-20780	123	4	edge	edge	NOUN
ajst-20780	123	5	features	feature	NOUN
ajst-20780	123	6	of	of	ADP
ajst-20780	123	7	the	the	DET
ajst-20780	123	8	image	image	NOUN
ajst-20780	123	9	,	,	PUNCT
ajst-20780	123	10	the	the	DET
ajst-20780	123	11	edge	edge	NOUN
ajst-20780	123	12	lines	line	NOUN
ajst-20780	123	13	of	of	ADP
ajst-20780	123	14	the	the	DET
ajst-20780	123	15	image	image	NOUN
ajst-20780	123	16	are	be	AUX
ajst-20780	123	17	strengthened	strengthen	VERB
ajst-20780	123	18	to	to	PART
ajst-20780	123	19	make	make	VERB
ajst-20780	123	20	the	the	DET
ajst-20780	123	21	image	image	NOUN
ajst-20780	123	22	clearer	clear	ADJ
ajst-20780	123	23	.	.	PUNCT
ajst-20780	124	1	at	at	ADP
ajst-20780	124	2	the	the	DET
ajst-20780	124	3	same	same	ADJ
ajst-20780	124	4	time	time	NOUN
ajst-20780	124	5	,	,	PUNCT
ajst-20780	124	6	we	we	PRON
ajst-20780	124	7	also	also	ADV
ajst-20780	124	8	use	use	VERB
ajst-20780	124	9	the	the	DET
ajst-20780	124	10	local	local	ADJ
ajst-20780	124	11	details	detail	NOUN
ajst-20780	124	12	of	of	ADP
ajst-20780	124	13	the	the	DET
ajst-20780	124	14	image	image	NOUN
ajst-20780	124	15	to	to	PART
ajst-20780	124	16	restore	restore	VERB
ajst-20780	124	17	the	the	DET
ajst-20780	124	18	fuzzy	fuzzy	ADJ
ajst-20780	124	19	effect	effect	NOUN
ajst-20780	124	20	caused	cause	VERB
ajst-20780	124	21	by	by	ADP
ajst-20780	124	22	rapid	rapid	ADJ
ajst-20780	124	23	motion	motion	NOUN
ajst-20780	124	24	.	.	PUNCT
ajst-20780	125	1	through	through	ADP
ajst-20780	125	2	these	these	DET
ajst-20780	125	3	processing	processing	NOUN
ajst-20780	125	4	methods	method	NOUN
ajst-20780	125	5	,	,	PUNCT
ajst-20780	125	6	we	we	PRON
ajst-20780	125	7	can	can	AUX
ajst-20780	125	8	effectively	effectively	ADV
ajst-20780	125	9	reduce	reduce	VERB
ajst-20780	125	10	the	the	DET
ajst-20780	125	11	blur	blur	NOUN
ajst-20780	125	12	degree	degree	NOUN
ajst-20780	125	13	of	of	ADP
ajst-20780	125	14	the	the	DET
ajst-20780	125	15	image	image	NOUN
ajst-20780	125	16	and	and	CCONJ
ajst-20780	125	17	improve	improve	VERB
ajst-20780	125	18	the	the	DET
ajst-20780	125	19	clarity	clarity	NOUN
ajst-20780	125	20	of	of	ADP
ajst-20780	125	21	the	the	DET
ajst-20780	125	22	image	image	NOUN
ajst-20780	125	23	.	.	PUNCT
ajst-20780	126	1	for	for	ADP
ajst-20780	126	2	the	the	DET
ajst-20780	126	3	low	low	ADJ
ajst-20780	126	4	-	-	PUNCT
ajst-20780	126	5	frequency	frequency	NOUN
ajst-20780	126	6	information	information	NOUN
ajst-20780	126	7	,	,	PUNCT
ajst-20780	126	8	we	we	PRON
ajst-20780	126	9	adopted	adopt	VERB
ajst-20780	126	10	the	the	DET
ajst-20780	126	11	strategy	strategy	NOUN
ajst-20780	126	12	of	of	ADP
ajst-20780	126	13	motion	motion	NOUN
ajst-20780	126	14	compensation	compensation	NOUN
ajst-20780	126	15	and	and	CCONJ
ajst-20780	126	16	image	image	NOUN
ajst-20780	126	17	fusion	fusion	NOUN
ajst-20780	126	18	.	.	PUNCT
ajst-20780	127	1	during	during	ADP
ajst-20780	127	2	high	high	ADJ
ajst-20780	127	3	frame	frame	NOUN
ajst-20780	127	4	rate	rate	NOUN
ajst-20780	127	5	camera	camera	NOUN
ajst-20780	127	6	shooting	shooting	NOUN
ajst-20780	127	7	,	,	PUNCT
ajst-20780	127	8	rapidly	rapidly	ADV
ajst-20780	127	9	moving	move	VERB
ajst-20780	127	10	objects	object	NOUN
ajst-20780	127	11	can	can	AUX
ajst-20780	127	12	cause	cause	VERB
ajst-20780	127	13	image	image	NOUN
ajst-20780	127	14	blur	blur	NOUN
ajst-20780	127	15	.	.	PUNCT
ajst-20780	128	1	we	we	PRON
ajst-20780	128	2	compensate	compensate	VERB
ajst-20780	128	3	the	the	DET
ajst-20780	128	4	image	image	NOUN
ajst-20780	128	5	according	accord	VERB
ajst-20780	128	6	to	to	ADP
ajst-20780	128	7	the	the	DET
ajst-20780	128	8	displacement	displacement	ADJ
ajst-20780	128	9	information	information	NOUN
ajst-20780	128	10	between	between	ADP
ajst-20780	128	11	adjacent	adjacent	ADJ
ajst-20780	128	12	frames	frame	NOUN
ajst-20780	128	13	to	to	PART
ajst-20780	128	14	eliminate	eliminate	VERB
ajst-20780	128	15	the	the	DET
ajst-20780	128	16	blur	blur	NOUN
ajst-20780	128	17	due	due	ADP
ajst-20780	128	18	to	to	ADP
ajst-20780	128	19	the	the	DET
ajst-20780	128	20	object	object	NOUN
ajst-20780	128	21	motion	motion	NOUN
ajst-20780	128	22	.	.	PUNCT
ajst-20780	129	1	at	at	ADP
ajst-20780	129	2	the	the	DET
ajst-20780	129	3	same	same	ADJ
ajst-20780	129	4	time	time	NOUN
ajst-20780	129	5	,	,	PUNCT
ajst-20780	129	6	in	in	ADP
ajst-20780	129	7	order	order	NOUN
ajst-20780	129	8	to	to	PART
ajst-20780	129	9	further	far	ADV
ajst-20780	129	10	improve	improve	VERB
ajst-20780	129	11	the	the	DET
ajst-20780	129	12	quality	quality	NOUN
ajst-20780	129	13	of	of	ADP
ajst-20780	129	14	the	the	DET
ajst-20780	129	15	image	image	NOUN
ajst-20780	129	16	,	,	PUNCT
ajst-20780	129	17	we	we	PRON
ajst-20780	129	18	adopted	adopt	VERB
ajst-20780	129	19	the	the	DET
ajst-20780	129	20	image	image	NOUN
ajst-20780	129	21	fusion	fusion	NOUN
ajst-20780	129	22	technology	technology	NOUN
ajst-20780	129	23	,	,	PUNCT
ajst-20780	129	24	the	the	DET
ajst-20780	129	25	information	information	NOUN
ajst-20780	129	26	fusion	fusion	NOUN
ajst-20780	129	27	processing	processing	NOUN
ajst-20780	129	28	of	of	ADP
ajst-20780	129	29	multiple	multiple	ADJ
ajst-20780	129	30	frames	frame	NOUN
ajst-20780	129	31	,	,	PUNCT
ajst-20780	129	32	to	to	PART
ajst-20780	129	33	get	get	VERB
ajst-20780	129	34	a	a	DET
ajst-20780	129	35	clearer	clear	ADJ
ajst-20780	129	36	image	image	NOUN
ajst-20780	129	37	results	result	NOUN
ajst-20780	129	38	.	.	PUNCT
ajst-20780	130	1	moreover	moreover	ADV
ajst-20780	130	2	,	,	PUNCT
ajst-20780	130	3	to	to	PART
ajst-20780	130	4	accelerate	accelerate	VERB
ajst-20780	130	5	the	the	DET
ajst-20780	130	6	running	run	VERB
ajst-20780	130	7	speed	speed	NOUN
ajst-20780	130	8	of	of	ADP
ajst-20780	130	9	the	the	DET
ajst-20780	130	10	algorithm	algorithm	NOUN
ajst-20780	130	11	,	,	PUNCT
ajst-20780	130	12	we	we	PRON
ajst-20780	130	13	also	also	ADV
ajst-20780	130	14	introduce	introduce	VERB
ajst-20780	130	15	the	the	DET
ajst-20780	130	16	strategy	strategy	NOUN
ajst-20780	130	17	of	of	ADP
ajst-20780	130	18	parallel	parallel	ADJ
ajst-20780	130	19	computing	computing	NOUN
ajst-20780	130	20	.	.	PUNCT
ajst-20780	131	1	by	by	ADP
ajst-20780	131	2	using	use	VERB
ajst-20780	131	3	the	the	DET
ajst-20780	131	4	parallel	parallel	ADJ
ajst-20780	131	5	computing	computing	NOUN
ajst-20780	131	6	technology	technology	NOUN
ajst-20780	131	7	,	,	PUNCT
ajst-20780	131	8	the	the	DET
ajst-20780	131	9	image	image	NOUN
ajst-20780	131	10	processing	processing	NOUN
ajst-20780	131	11	task	task	NOUN
ajst-20780	131	12	is	be	AUX
ajst-20780	131	13	assigned	assign	VERB
ajst-20780	131	14	to	to	ADP
ajst-20780	131	15	multiple	multiple	ADJ
ajst-20780	131	16	processing	processing	NOUN
ajst-20780	131	17	units	unit	NOUN
ajst-20780	131	18	for	for	ADP
ajst-20780	131	19	simultaneous	simultaneous	ADJ
ajst-20780	131	20	processing	processing	NOUN
ajst-20780	131	21	,	,	PUNCT
ajst-20780	131	22	and	and	CCONJ
ajst-20780	131	23	the	the	DET
ajst-20780	131	24	execution	execution	NOUN
ajst-20780	131	25	efficiency	efficiency	NOUN
ajst-20780	131	26	of	of	ADP
ajst-20780	131	27	the	the	DET
ajst-20780	131	28	algorithm	algorithm	NOUN
ajst-20780	131	29	is	be	AUX
ajst-20780	131	30	greatly	greatly	ADV
ajst-20780	131	31	improved	improve	VERB
ajst-20780	131	32	.	.	PUNCT
ajst-20780	132	1	we	we	PRON
ajst-20780	132	2	use	use	VERB
ajst-20780	132	3	the	the	DET
ajst-20780	132	4	gpu	gpu	NOUN
ajst-20780	132	5	acceleration	acceleration	NOUN
ajst-20780	132	6	method	method	NOUN
ajst-20780	132	7	and	and	CCONJ
ajst-20780	132	8	use	use	VERB
ajst-20780	132	9	the	the	DET
ajst-20780	132	10	parallel	parallel	ADJ
ajst-20780	132	11	computing	computing	NOUN
ajst-20780	132	12	power	power	NOUN
ajst-20780	132	13	of	of	ADP
ajst-20780	132	14	the	the	DET
ajst-20780	132	15	graphics	graphic	NOUN
ajst-20780	132	16	processor	processor	NOUN
ajst-20780	132	17	to	to	PART
ajst-20780	132	18	accelerate	accelerate	VERB
ajst-20780	132	19	the	the	DET
ajst-20780	132	20	processing	processing	NOUN
ajst-20780	132	21	speed	speed	NOUN
ajst-20780	132	22	of	of	ADP
ajst-20780	132	23	the	the	DET
ajst-20780	132	24	algorithm	algorithm	NOUN
ajst-20780	132	25	.	.	PUNCT
ajst-20780	133	1	in	in	ADP
ajst-20780	133	2	the	the	DET
ajst-20780	133	3	experiment	experiment	NOUN
ajst-20780	133	4	of	of	ADP
ajst-20780	133	5	algorithm	algorithm	NOUN
ajst-20780	133	6	optimization	optimization	NOUN
ajst-20780	133	7	,	,	PUNCT
ajst-20780	133	8	we	we	PRON
ajst-20780	133	9	compared	compare	VERB
ajst-20780	133	10	the	the	DET
ajst-20780	133	11	effects	effect	NOUN
ajst-20780	133	12	of	of	ADP
ajst-20780	133	13	different	different	ADJ
ajst-20780	133	14	strategies	strategy	NOUN
ajst-20780	133	15	and	and	CCONJ
ajst-20780	133	16	evaluated	evaluate	VERB
ajst-20780	133	17	quantifiable	quantifiable	ADJ
ajst-20780	133	18	.	.	PUNCT
ajst-20780	134	1	the	the	DET
ajst-20780	134	2	experimental	experimental	ADJ
ajst-20780	134	3	results	result	NOUN
ajst-20780	134	4	show	show	VERB
ajst-20780	134	5	that	that	SCONJ
ajst-20780	134	6	the	the	DET
ajst-20780	134	7	optimization	optimization	NOUN
ajst-20780	134	8	strategies	strategy	NOUN
ajst-20780	134	9	such	such	ADJ
ajst-20780	134	10	as	as	ADP
ajst-20780	134	11	hierarchical	hierarchical	ADJ
ajst-20780	134	12	processing	processing	NOUN
ajst-20780	134	13	,	,	PUNCT
ajst-20780	134	14	edge	edge	NOUN
ajst-20780	134	15	enhancement	enhancement	NOUN
ajst-20780	134	16	and	and	CCONJ
ajst-20780	134	17	detail	detail	NOUN
ajst-20780	134	18	recovery	recovery	NOUN
ajst-20780	134	19	,	,	PUNCT
ajst-20780	134	20	motion	motion	NOUN
ajst-20780	134	21	compensation	compensation	NOUN
ajst-20780	134	22	and	and	CCONJ
ajst-20780	134	23	image	image	NOUN
ajst-20780	134	24	fusion	fusion	NOUN
ajst-20780	134	25	,	,	PUNCT
ajst-20780	134	26	and	and	CCONJ
ajst-20780	134	27	parallel	parallel	ADJ
ajst-20780	134	28	computing	computing	NOUN
ajst-20780	134	29	have	have	AUX
ajst-20780	134	30	achieved	achieve	VERB
ajst-20780	134	31	significant	significant	ADJ
ajst-20780	134	32	improvements	improvement	NOUN
ajst-20780	134	33	in	in	ADP
ajst-20780	134	34	the	the	DET
ajst-20780	134	35	high	high	ADJ
ajst-20780	134	36	-	-	PUNCT
ajst-20780	134	37	frame	frame	NOUN
ajst-20780	134	38	rate	rate	NOUN
ajst-20780	134	39	camera	camera	NOUN
ajst-20780	134	40	deblur	deblur	NOUN
ajst-20780	134	41	algorithm	algorithm	PROPN
ajst-20780	134	42	.	.	PUNCT
ajst-20780	135	1	the	the	DET
ajst-20780	135	2	sharpness	sharpness	NOUN
ajst-20780	135	3	of	of	ADP
ajst-20780	135	4	the	the	DET
ajst-20780	135	5	image	image	NOUN
ajst-20780	135	6	is	be	AUX
ajst-20780	135	7	significantly	significantly	ADV
ajst-20780	135	8	improved	improve	VERB
ajst-20780	135	9	,	,	PUNCT
ajst-20780	135	10	the	the	DET
ajst-20780	135	11	blur	blur	NOUN
ajst-20780	135	12	degree	degree	NOUN
ajst-20780	135	13	is	be	AUX
ajst-20780	135	14	reduced	reduce	VERB
ajst-20780	135	15	,	,	PUNCT
ajst-20780	135	16	and	and	CCONJ
ajst-20780	135	17	the	the	DET
ajst-20780	135	18	processing	processing	NOUN
ajst-20780	135	19	speed	speed	NOUN
ajst-20780	135	20	is	be	AUX
ajst-20780	135	21	also	also	ADV
ajst-20780	135	22	greatly	greatly	ADV
ajst-20780	135	23	improved	improve	VERB
ajst-20780	135	24	.	.	PUNCT
ajst-20780	136	1	in	in	ADP
ajst-20780	136	2	conclusion	conclusion	NOUN
ajst-20780	136	3	,	,	PUNCT
ajst-20780	136	4	this	this	DET
ajst-20780	136	5	chapter	chapter	NOUN
ajst-20780	136	6	studies	study	VERB
ajst-20780	136	7	the	the	DET
ajst-20780	136	8	optimization	optimization	NOUN
ajst-20780	136	9	strategy	strategy	NOUN
ajst-20780	136	10	of	of	ADP
ajst-20780	136	11	high	high	ADJ
ajst-20780	136	12	-	-	PUNCT
ajst-20780	136	13	frame	frame	NOUN
ajst-20780	136	14	rate	rate	NOUN
ajst-20780	136	15	camera	camera	NOUN
ajst-20780	136	16	deblur	deblur	NOUN
ajst-20780	136	17	algorithm	algorithm	PROPN
ajst-20780	136	18	.	.	PUNCT
ajst-20780	137	1	through	through	ADP
ajst-20780	137	2	the	the	DET
ajst-20780	137	3	57	57	NUM
ajst-20780	137	4	comprehensive	comprehensive	ADJ
ajst-20780	137	5	application	application	NOUN
ajst-20780	137	6	of	of	ADP
ajst-20780	137	7	layered	layered	ADJ
ajst-20780	137	8	processing	processing	NOUN
ajst-20780	137	9	,	,	PUNCT
ajst-20780	137	10	edge	edge	NOUN
ajst-20780	137	11	enhancement	enhancement	NOUN
ajst-20780	137	12	and	and	CCONJ
ajst-20780	137	13	detail	detail	NOUN
ajst-20780	137	14	recovery	recovery	NOUN
ajst-20780	137	15	,	,	PUNCT
ajst-20780	137	16	motion	motion	NOUN
ajst-20780	137	17	compensation	compensation	NOUN
ajst-20780	137	18	and	and	CCONJ
ajst-20780	137	19	image	image	NOUN
ajst-20780	137	20	fusion	fusion	NOUN
ajst-20780	137	21	,	,	PUNCT
ajst-20780	137	22	and	and	CCONJ
ajst-20780	137	23	parallel	parallel	ADJ
ajst-20780	137	24	computing	computing	NOUN
ajst-20780	137	25	.	.	PUNCT
ajst-20780	138	1	these	these	DET
ajst-20780	138	2	results	result	NOUN
ajst-20780	138	3	have	have	VERB
ajst-20780	138	4	important	important	ADJ
ajst-20780	138	5	theoretical	theoretical	ADJ
ajst-20780	138	6	and	and	CCONJ
ajst-20780	138	7	practical	practical	ADJ
ajst-20780	138	8	significance	significance	NOUN
ajst-20780	138	9	for	for	ADP
ajst-20780	138	10	high	high	ADJ
ajst-20780	138	11	frame	frame	NOUN
ajst-20780	138	12	rate	rate	NOUN
ajst-20780	138	13	cameras	camera	NOUN
ajst-20780	138	14	to	to	PART
ajst-20780	138	15	achieve	achieve	VERB
ajst-20780	138	16	better	well	ADJ
ajst-20780	138	17	image	image	NOUN
ajst-20780	138	18	quality	quality	NOUN
ajst-20780	138	19	in	in	ADP
ajst-20780	138	20	fast	fast	ADJ
ajst-20780	138	21	motion	motion	NOUN
ajst-20780	138	22	scenarios	scenario	NOUN
ajst-20780	138	23	.	.	PUNCT
ajst-20780	139	1	4.2	4.2	NUM
ajst-20780	139	2	.	.	PUNCT
ajst-20780	139	3	algorithmic	algorithmic	ADJ
ajst-20780	139	4	optimization	optimization	NOUN
ajst-20780	139	5	experiments	experiment	NOUN
ajst-20780	139	6	in	in	ADP
ajst-20780	139	7	this	this	DET
ajst-20780	139	8	section	section	NOUN
ajst-20780	139	9	,	,	PUNCT
ajst-20780	139	10	we	we	PRON
ajst-20780	139	11	focus	focus	VERB
ajst-20780	139	12	on	on	ADP
ajst-20780	139	13	the	the	DET
ajst-20780	139	14	optimized	optimize	VERB
ajst-20780	139	15	experimental	experimental	ADJ
ajst-20780	139	16	design	design	NOUN
ajst-20780	139	17	and	and	CCONJ
ajst-20780	139	18	outcome	outcome	VERB
ajst-20780	139	19	analysis	analysis	NOUN
ajst-20780	139	20	of	of	ADP
ajst-20780	139	21	high	high	ADJ
ajst-20780	139	22	-	-	PUNCT
ajst-20780	139	23	frame	frame	NOUN
ajst-20780	139	24	rate	rate	NOUN
ajst-20780	139	25	camera	camera	NOUN
ajst-20780	139	26	deblurring	deblurring	NOUN
ajst-20780	139	27	algorithms	algorithm	NOUN
ajst-20780	139	28	.	.	PUNCT
ajst-20780	140	1	through	through	ADP
ajst-20780	140	2	experiments	experiment	NOUN
ajst-20780	140	3	,	,	PUNCT
ajst-20780	140	4	we	we	PRON
ajst-20780	140	5	aim	aim	VERB
ajst-20780	140	6	to	to	PART
ajst-20780	140	7	verify	verify	VERB
ajst-20780	140	8	the	the	DET
ajst-20780	140	9	effect	effect	NOUN
ajst-20780	140	10	of	of	ADP
ajst-20780	140	11	the	the	DET
ajst-20780	140	12	algorithm	algorithm	NOUN
ajst-20780	140	13	and	and	CCONJ
ajst-20780	140	14	compare	compare	VERB
ajst-20780	140	15	it	it	PRON
ajst-20780	140	16	with	with	ADP
ajst-20780	140	17	other	other	ADJ
ajst-20780	140	18	related	related	ADJ
ajst-20780	140	19	algorithms	algorithm	NOUN
ajst-20780	140	20	.	.	PUNCT
ajst-20780	141	1	the	the	DET
ajst-20780	141	2	following	follow	VERB
ajst-20780	141	3	is	be	AUX
ajst-20780	141	4	our	our	PRON
ajst-20780	141	5	experimental	experimental	ADJ
ajst-20780	141	6	design	design	NOUN
ajst-20780	141	7	and	and	CCONJ
ajst-20780	141	8	results	result	VERB
ajst-20780	141	9	analysis	analysis	NOUN
ajst-20780	141	10	.	.	PUNCT
ajst-20780	142	1	first	first	ADV
ajst-20780	142	2	,	,	PUNCT
ajst-20780	142	3	we	we	PRON
ajst-20780	142	4	use	use	VERB
ajst-20780	142	5	standard	standard	ADJ
ajst-20780	142	6	test	test	NOUN
ajst-20780	142	7	images	image	NOUN
ajst-20780	142	8	,	,	PUNCT
ajst-20780	142	9	including	include	VERB
ajst-20780	142	10	natural	natural	ADJ
ajst-20780	142	11	scenes	scene	NOUN
ajst-20780	142	12	and	and	CCONJ
ajst-20780	142	13	motion	motion	NOUN
ajst-20780	142	14	blur	blur	NOUN
ajst-20780	142	15	images	image	NOUN
ajst-20780	142	16	,	,	PUNCT
ajst-20780	142	17	to	to	PART
ajst-20780	142	18	simulate	simulate	VERB
ajst-20780	142	19	practical	practical	ADJ
ajst-20780	142	20	application	application	NOUN
ajst-20780	142	21	scenarios	scenario	NOUN
ajst-20780	142	22	.	.	PUNCT
ajst-20780	143	1	we	we	PRON
ajst-20780	143	2	selected	select	VERB
ajst-20780	143	3	a	a	DET
ajst-20780	143	4	series	series	NOUN
ajst-20780	143	5	of	of	ADP
ajst-20780	143	6	real	real	ADJ
ajst-20780	143	7	images	image	NOUN
ajst-20780	143	8	from	from	ADP
ajst-20780	143	9	publicly	publicly	ADV
ajst-20780	143	10	available	available	ADJ
ajst-20780	143	11	image	image	NOUN
ajst-20780	143	12	databases	database	NOUN
ajst-20780	143	13	and	and	CCONJ
ajst-20780	143	14	added	add	VERB
ajst-20780	143	15	varying	vary	VERB
ajst-20780	143	16	degrees	degree	NOUN
ajst-20780	143	17	of	of	ADP
ajst-20780	143	18	motion	motion	NOUN
ajst-20780	143	19	blur	blur	NOUN
ajst-20780	143	20	to	to	PART
ajst-20780	143	21	generate	generate	VERB
ajst-20780	143	22	the	the	DET
ajst-20780	143	23	corresponding	correspond	VERB
ajst-20780	143	24	test	test	NOUN
ajst-20780	143	25	samples	sample	NOUN
ajst-20780	143	26	.	.	PUNCT
ajst-20780	144	1	next	next	ADV
ajst-20780	144	2	,	,	PUNCT
ajst-20780	144	3	we	we	PRON
ajst-20780	144	4	processed	process	VERB
ajst-20780	144	5	the	the	DET
ajst-20780	144	6	experimental	experimental	ADJ
ajst-20780	144	7	samples	sample	NOUN
ajst-20780	144	8	using	use	VERB
ajst-20780	144	9	our	our	PRON
ajst-20780	144	10	proposed	propose	VERB
ajst-20780	144	11	high	high	ADJ
ajst-20780	144	12	-	-	PUNCT
ajst-20780	144	13	frame	frame	NOUN
ajst-20780	144	14	rate	rate	NOUN
ajst-20780	144	15	camera	camera	NOUN
ajst-20780	144	16	deblurring	deblurring	NOUN
ajst-20780	144	17	algorithm	algorithm	NOUN
ajst-20780	144	18	.	.	PUNCT
ajst-20780	145	1	our	our	PRON
ajst-20780	145	2	algorithm	algorithm	NOUN
ajst-20780	145	3	is	be	AUX
ajst-20780	145	4	based	base	VERB
ajst-20780	145	5	on	on	ADP
ajst-20780	145	6	the	the	DET
ajst-20780	145	7	idea	idea	NOUN
ajst-20780	145	8	of	of	ADP
ajst-20780	145	9	deep	deep	ADJ
ajst-20780	145	10	learning	learning	NOUN
ajst-20780	145	11	and	and	CCONJ
ajst-20780	145	12	adaptive	adaptive	ADJ
ajst-20780	145	13	filtering	filtering	NOUN
ajst-20780	145	14	to	to	PART
ajst-20780	145	15	disblur	disblur	VERB
ajst-20780	145	16	the	the	DET
ajst-20780	145	17	images	image	NOUN
ajst-20780	145	18	by	by	ADP
ajst-20780	145	19	learning	learn	VERB
ajst-20780	145	20	the	the	DET
ajst-20780	145	21	relationship	relationship	NOUN
ajst-20780	145	22	between	between	ADP
ajst-20780	145	23	fuzzy	fuzzy	ADJ
ajst-20780	145	24	patterns	pattern	NOUN
ajst-20780	145	25	and	and	CCONJ
ajst-20780	145	26	non	non	ADJ
ajst-20780	145	27	-	-	ADJ
ajst-20780	145	28	fuzzy	fuzzy	ADJ
ajst-20780	145	29	patterns	pattern	NOUN
ajst-20780	145	30	in	in	ADP
ajst-20780	145	31	the	the	DET
ajst-20780	145	32	image	image	NOUN
ajst-20780	145	33	.	.	PUNCT
ajst-20780	146	1	meanwhile	meanwhile	ADV
ajst-20780	146	2	,	,	PUNCT
ajst-20780	146	3	we	we	PRON
ajst-20780	146	4	introduce	introduce	VERB
ajst-20780	146	5	adaptive	adaptive	ADJ
ajst-20780	146	6	filtering	filtering	NOUN
ajst-20780	146	7	to	to	PART
ajst-20780	146	8	further	far	ADV
ajst-20780	146	9	improve	improve	VERB
ajst-20780	146	10	the	the	DET
ajst-20780	146	11	effect	effect	NOUN
ajst-20780	146	12	of	of	ADP
ajst-20780	146	13	deblurring	deblurring	NOUN
ajst-20780	146	14	.	.	PUNCT
ajst-20780	147	1	during	during	ADP
ajst-20780	147	2	the	the	DET
ajst-20780	147	3	experiment	experiment	NOUN
ajst-20780	147	4	,	,	PUNCT
ajst-20780	147	5	we	we	PRON
ajst-20780	147	6	will	will	AUX
ajst-20780	147	7	adjust	adjust	VERB
ajst-20780	147	8	the	the	DET
ajst-20780	147	9	parameters	parameter	NOUN
ajst-20780	147	10	of	of	ADP
ajst-20780	147	11	the	the	DET
ajst-20780	147	12	algorithm	algorithm	NOUN
ajst-20780	147	13	to	to	PART
ajst-20780	147	14	get	get	VERB
ajst-20780	147	15	the	the	DET
ajst-20780	147	16	optimal	optimal	ADJ
ajst-20780	147	17	deblurring	deblurring	NOUN
ajst-20780	147	18	results	result	NOUN
ajst-20780	147	19	.	.	PUNCT
ajst-20780	148	1	then	then	ADV
ajst-20780	148	2	,	,	PUNCT
ajst-20780	148	3	we	we	PRON
ajst-20780	148	4	selected	select	VERB
ajst-20780	148	5	several	several	ADJ
ajst-20780	148	6	other	other	ADJ
ajst-20780	148	7	mainstream	mainstream	ADJ
ajst-20780	148	8	high	high	ADJ
ajst-20780	148	9	-	-	PUNCT
ajst-20780	148	10	frame	frame	NOUN
ajst-20780	148	11	rate	rate	NOUN
ajst-20780	148	12	camera	camera	NOUN
ajst-20780	148	13	deblur	deblur	NOUN
ajst-20780	148	14	algorithms	algorithm	NOUN
ajst-20780	148	15	as	as	ADP
ajst-20780	148	16	comparison	comparison	NOUN
ajst-20780	148	17	algorithms	algorithm	NOUN
ajst-20780	148	18	,	,	PUNCT
ajst-20780	148	19	namely	namely	ADV
ajst-20780	148	20	algorithms	algorithm	VERB
ajst-20780	148	21	a	a	PRON
ajst-20780	148	22	,	,	PUNCT
ajst-20780	148	23	b	b	NOUN
ajst-20780	148	24	and	and	CCONJ
ajst-20780	148	25	c.	c.	NOUN
ajst-20780	148	26	these	these	DET
ajst-20780	148	27	algorithms	algorithm	NOUN
ajst-20780	148	28	have	have	AUX
ajst-20780	148	29	been	be	AUX
ajst-20780	148	30	well	well	ADV
ajst-20780	148	31	evaluated	evaluate	VERB
ajst-20780	148	32	in	in	ADP
ajst-20780	148	33	the	the	DET
ajst-20780	148	34	literature	literature	NOUN
ajst-20780	148	35	and	and	CCONJ
ajst-20780	148	36	are	be	AUX
ajst-20780	148	37	widely	widely	ADV
ajst-20780	148	38	used	use	VERB
ajst-20780	148	39	in	in	ADP
ajst-20780	148	40	practical	practical	ADJ
ajst-20780	148	41	applications	application	NOUN
ajst-20780	148	42	.	.	PUNCT
ajst-20780	149	1	we	we	PRON
ajst-20780	149	2	will	will	AUX
ajst-20780	149	3	compare	compare	VERB
ajst-20780	149	4	with	with	ADP
ajst-20780	149	5	these	these	DET
ajst-20780	149	6	algorithms	algorithm	NOUN
ajst-20780	149	7	and	and	CCONJ
ajst-20780	149	8	evaluate	evaluate	VERB
ajst-20780	149	9	the	the	DET
ajst-20780	149	10	advantages	advantage	NOUN
ajst-20780	149	11	and	and	CCONJ
ajst-20780	149	12	disadvantages	disadvantage	NOUN
ajst-20780	149	13	of	of	ADP
ajst-20780	149	14	our	our	PRON
ajst-20780	149	15	algorithm	algorithm	NOUN
ajst-20780	149	16	.	.	PUNCT
ajst-20780	150	1	we	we	PRON
ajst-20780	150	2	compare	compare	VERB
ajst-20780	150	3	the	the	DET
ajst-20780	150	4	results	result	NOUN
ajst-20780	150	5	of	of	ADP
ajst-20780	150	6	various	various	ADJ
ajst-20780	150	7	experiments	experiment	NOUN
ajst-20780	150	8	to	to	PART
ajst-20780	150	9	evaluate	evaluate	VERB
ajst-20780	150	10	the	the	DET
ajst-20780	150	11	actual	actual	ADJ
ajst-20780	150	12	effects	effect	NOUN
ajst-20780	150	13	of	of	ADP
ajst-20780	150	14	different	different	ADJ
ajst-20780	150	15	algorithms	algorithm	NOUN
ajst-20780	150	16	.	.	PUNCT
ajst-20780	151	1	these	these	DET
ajst-20780	151	2	indexes	index	NOUN
ajst-20780	151	3	include	include	VERB
ajst-20780	151	4	peak	peak	NOUN
ajst-20780	151	5	signal	signal	NOUN
ajst-20780	151	6	-	-	PUNCT
ajst-20780	151	7	to	to	ADP
ajst-20780	151	8	-	-	PUNCT
ajst-20780	151	9	noise	noise	NOUN
ajst-20780	151	10	ratio	ratio	NOUN
ajst-20780	151	11	(	(	PUNCT
ajst-20780	151	12	psnr	psnr	NOUN
ajst-20780	151	13	)	)	PUNCT
ajst-20780	151	14	,	,	PUNCT
ajst-20780	151	15	structural	structural	ADJ
ajst-20780	151	16	similarity	similarity	NOUN
ajst-20780	151	17	index	index	NOUN
ajst-20780	151	18	(	(	PUNCT
ajst-20780	151	19	ssim	ssim	NOUN
ajst-20780	151	20	)	)	PUNCT
ajst-20780	151	21	,	,	PUNCT
ajst-20780	151	22	etc	etc	X
ajst-20780	151	23	.	.	X
ajst-20780	151	24	by	by	ADP
ajst-20780	151	25	analyzing	analyze	VERB
ajst-20780	151	26	the	the	DET
ajst-20780	151	27	differences	difference	NOUN
ajst-20780	151	28	between	between	ADP
ajst-20780	151	29	indicators	indicator	NOUN
ajst-20780	151	30	,	,	PUNCT
ajst-20780	151	31	we	we	PRON
ajst-20780	151	32	can	can	AUX
ajst-20780	151	33	get	get	VERB
ajst-20780	151	34	the	the	DET
ajst-20780	151	35	advantages	advantage	NOUN
ajst-20780	151	36	and	and	CCONJ
ajst-20780	151	37	disadvantages	disadvantage	NOUN
ajst-20780	151	38	of	of	ADP
ajst-20780	151	39	different	different	ADJ
ajst-20780	151	40	blur	blur	NOUN
ajst-20780	151	41	in	in	ADP
ajst-20780	151	42	the	the	DET
ajst-20780	151	43	effect	effect	NOUN
ajst-20780	151	44	of	of	ADP
ajst-20780	151	45	different	different	ADJ
ajst-20780	151	46	algorithms	algorithm	NOUN
ajst-20780	151	47	,	,	PUNCT
ajst-20780	151	48	and	and	CCONJ
ajst-20780	151	49	further	far	ADV
ajst-20780	151	50	improve	improve	VERB
ajst-20780	151	51	our	our	PRON
ajst-20780	151	52	algorithm	algorithm	NOUN
ajst-20780	151	53	.	.	PUNCT
ajst-20780	152	1	finally	finally	ADV
ajst-20780	152	2	,	,	PUNCT
ajst-20780	152	3	we	we	PRON
ajst-20780	152	4	will	will	AUX
ajst-20780	152	5	present	present	VERB
ajst-20780	152	6	the	the	DET
ajst-20780	152	7	analysis	analysis	NOUN
ajst-20780	152	8	and	and	CCONJ
ajst-20780	152	9	a	a	DET
ajst-20780	152	10	summary	summary	NOUN
ajst-20780	152	11	of	of	ADP
ajst-20780	152	12	the	the	DET
ajst-20780	152	13	experimental	experimental	ADJ
ajst-20780	152	14	results	result	NOUN
ajst-20780	152	15	.	.	PUNCT
ajst-20780	153	1	by	by	ADP
ajst-20780	153	2	comparing	compare	VERB
ajst-20780	153	3	the	the	DET
ajst-20780	153	4	experimental	experimental	ADJ
ajst-20780	153	5	results	result	NOUN
ajst-20780	153	6	,	,	PUNCT
ajst-20780	153	7	we	we	PRON
ajst-20780	153	8	can	can	AUX
ajst-20780	153	9	clearly	clearly	ADV
ajst-20780	153	10	see	see	VERB
ajst-20780	153	11	the	the	DET
ajst-20780	153	12	advantages	advantage	NOUN
ajst-20780	153	13	and	and	CCONJ
ajst-20780	153	14	disadvantages	disadvantage	NOUN
ajst-20780	153	15	of	of	ADP
ajst-20780	153	16	our	our	PRON
ajst-20780	153	17	algorithm	algorithm	NOUN
ajst-20780	153	18	in	in	ADP
ajst-20780	153	19	deblurring	deblurre	VERB
ajst-20780	153	20	effect	effect	NOUN
ajst-20780	153	21	.	.	PUNCT
ajst-20780	154	1	we	we	PRON
ajst-20780	154	2	will	will	AUX
ajst-20780	154	3	summarize	summarize	VERB
ajst-20780	154	4	our	our	PRON
ajst-20780	154	5	experimental	experimental	ADJ
ajst-20780	154	6	results	result	NOUN
ajst-20780	154	7	and	and	CCONJ
ajst-20780	154	8	propose	propose	VERB
ajst-20780	154	9	improvement	improvement	NOUN
ajst-20780	154	10	directions	direction	NOUN
ajst-20780	154	11	for	for	ADP
ajst-20780	154	12	the	the	DET
ajst-20780	154	13	shortcomings	shortcoming	NOUN
ajst-20780	154	14	.	.	PUNCT
ajst-20780	155	1	through	through	ADP
ajst-20780	155	2	the	the	DET
ajst-20780	155	3	expansion	expansion	NOUN
ajst-20780	155	4	of	of	ADP
ajst-20780	155	5	the	the	DET
ajst-20780	155	6	experiments	experiment	NOUN
ajst-20780	155	7	in	in	ADP
ajst-20780	155	8	this	this	DET
ajst-20780	155	9	section	section	NOUN
ajst-20780	155	10	,	,	PUNCT
ajst-20780	155	11	we	we	PRON
ajst-20780	155	12	will	will	AUX
ajst-20780	155	13	further	far	ADV
ajst-20780	155	14	validate	validate	VERB
ajst-20780	155	15	the	the	DET
ajst-20780	155	16	effectiveness	effectiveness	NOUN
ajst-20780	155	17	and	and	CCONJ
ajst-20780	155	18	advantages	advantage	NOUN
ajst-20780	155	19	of	of	ADP
ajst-20780	155	20	our	our	PRON
ajst-20780	155	21	proposed	propose	VERB
ajst-20780	155	22	high	high	ADJ
ajst-20780	155	23	-	-	PUNCT
ajst-20780	155	24	frame	frame	NOUN
ajst-20780	155	25	rate	rate	NOUN
ajst-20780	155	26	camera	camera	NOUN
ajst-20780	155	27	deblur	deblur	NOUN
ajst-20780	155	28	algorithm	algorithm	NOUN
ajst-20780	155	29	and	and	CCONJ
ajst-20780	155	30	provide	provide	VERB
ajst-20780	155	31	a	a	DET
ajst-20780	155	32	reference	reference	NOUN
ajst-20780	155	33	for	for	ADP
ajst-20780	155	34	further	further	ADJ
ajst-20780	155	35	algorithm	algorithm	NOUN
ajst-20780	155	36	optimization	optimization	NOUN
ajst-20780	155	37	.	.	PUNCT
ajst-20780	156	1	we	we	PRON
ajst-20780	156	2	hope	hope	VERB
ajst-20780	156	3	that	that	SCONJ
ajst-20780	156	4	these	these	DET
ajst-20780	156	5	experimental	experimental	ADJ
ajst-20780	156	6	results	result	NOUN
ajst-20780	156	7	will	will	AUX
ajst-20780	156	8	promote	promote	VERB
ajst-20780	156	9	the	the	DET
ajst-20780	156	10	development	development	NOUN
ajst-20780	156	11	of	of	ADP
ajst-20780	156	12	high	high	ADJ
ajst-20780	156	13	-	-	PUNCT
ajst-20780	156	14	frame	frame	NOUN
ajst-20780	156	15	rate	rate	NOUN
ajst-20780	156	16	camera	camera	NOUN
ajst-20780	156	17	deblurring	deblurring	NOUN
ajst-20780	156	18	algorithm	algorithm	NOUN
ajst-20780	156	19	and	and	CCONJ
ajst-20780	156	20	provide	provide	VERB
ajst-20780	156	21	better	well	ADJ
ajst-20780	156	22	image	image	NOUN
ajst-20780	156	23	deblurring	deblurre	VERB
ajst-20780	156	24	effect	effect	NOUN
ajst-20780	156	25	for	for	ADP
ajst-20780	156	26	practical	practical	ADJ
ajst-20780	156	27	applications	application	NOUN
ajst-20780	156	28	.	.	PUNCT
ajst-20780	157	1	4.3	4.3	NUM
ajst-20780	157	2	.	.	PUNCT
ajst-20780	157	3	comparison	comparison	NOUN
ajst-20780	157	4	of	of	ADP
ajst-20780	157	5	the	the	DET
ajst-20780	157	6	algorithm	algorithm	NOUN
ajst-20780	157	7	optimization	optimization	NOUN
ajst-20780	157	8	effect	effect	NOUN
ajst-20780	157	9	in	in	ADP
ajst-20780	157	10	this	this	DET
ajst-20780	157	11	section	section	NOUN
ajst-20780	157	12	,	,	PUNCT
ajst-20780	157	13	we	we	PRON
ajst-20780	157	14	present	present	VERB
ajst-20780	157	15	the	the	DET
ajst-20780	157	16	final	final	ADJ
ajst-20780	157	17	results	result	NOUN
ajst-20780	157	18	of	of	ADP
ajst-20780	157	19	the	the	DET
ajst-20780	157	20	optimization	optimization	NOUN
ajst-20780	157	21	of	of	ADP
ajst-20780	157	22	the	the	DET
ajst-20780	157	23	deblur	deblur	NOUN
ajst-20780	157	24	algorithm	algorithm	NOUN
ajst-20780	157	25	for	for	ADP
ajst-20780	157	26	high	high	ADJ
ajst-20780	157	27	frame	frame	NOUN
ajst-20780	157	28	rate	rate	NOUN
ajst-20780	157	29	cameras	camera	NOUN
ajst-20780	157	30	.	.	PUNCT
ajst-20780	158	1	this	this	DET
ajst-20780	158	2	section	section	NOUN
ajst-20780	158	3	aims	aim	VERB
ajst-20780	158	4	to	to	PART
ajst-20780	158	5	make	make	VERB
ajst-20780	158	6	a	a	DET
ajst-20780	158	7	detailed	detailed	ADJ
ajst-20780	158	8	comparison	comparison	NOUN
ajst-20780	158	9	and	and	CCONJ
ajst-20780	158	10	analysis	analysis	NOUN
ajst-20780	158	11	of	of	ADP
ajst-20780	158	12	the	the	DET
ajst-20780	158	13	effects	effect	NOUN
ajst-20780	158	14	after	after	ADP
ajst-20780	158	15	the	the	DET
ajst-20780	158	16	algorithm	algorithm	NOUN
ajst-20780	158	17	optimization	optimization	NOUN
ajst-20780	158	18	in	in	ADP
ajst-20780	158	19	order	order	NOUN
ajst-20780	158	20	to	to	PART
ajst-20780	158	21	verify	verify	VERB
ajst-20780	158	22	the	the	DET
ajst-20780	158	23	effectiveness	effectiveness	NOUN
ajst-20780	158	24	of	of	ADP
ajst-20780	158	25	the	the	DET
ajst-20780	158	26	optimization	optimization	NOUN
ajst-20780	158	27	strategy	strategy	NOUN
ajst-20780	158	28	.	.	PUNCT
ajst-20780	159	1	first	first	ADV
ajst-20780	159	2	,	,	PUNCT
ajst-20780	159	3	we	we	PRON
ajst-20780	159	4	selected	select	VERB
ajst-20780	159	5	three	three	NUM
ajst-20780	159	6	different	different	ADJ
ajst-20780	159	7	optimization	optimization	NOUN
ajst-20780	159	8	strategies	strategy	NOUN
ajst-20780	159	9	and	and	CCONJ
ajst-20780	159	10	performed	perform	VERB
ajst-20780	159	11	experiments	experiment	NOUN
ajst-20780	159	12	on	on	ADP
ajst-20780	159	13	each	each	DET
ajst-20780	159	14	strategy	strategy	NOUN
ajst-20780	159	15	separately	separately	ADV
ajst-20780	159	16	.	.	PUNCT
ajst-20780	160	1	these	these	DET
ajst-20780	160	2	optimization	optimization	NOUN
ajst-20780	160	3	strategies	strategy	NOUN
ajst-20780	160	4	include	include	VERB
ajst-20780	160	5	:	:	PUNCT
ajst-20780	160	6	image	image	NOUN
ajst-20780	160	7	processing	processing	NOUN
ajst-20780	160	8	based	base	VERB
ajst-20780	160	9	fuzzy	fuzzy	ADJ
ajst-20780	160	10	removal	removal	NOUN
ajst-20780	160	11	algorithm	algorithm	NOUN
ajst-20780	160	12	,	,	PUNCT
ajst-20780	160	13	machine	machine	NOUN
ajst-20780	160	14	learning	learning	NOUN
ajst-20780	160	15	based	base	VERB
ajst-20780	160	16	fuzzy	fuzzy	ADJ
ajst-20780	160	17	removal	removal	NOUN
ajst-20780	160	18	algorithm	algorithm	NOUN
ajst-20780	160	19	and	and	CCONJ
ajst-20780	160	20	deep	deep	ADJ
ajst-20780	160	21	learning	learning	NOUN
ajst-20780	160	22	based	base	VERB
ajst-20780	160	23	fuzzy	fuzzy	ADJ
ajst-20780	160	24	removal	removal	NOUN
ajst-20780	160	25	algorithm	algorithm	NOUN
ajst-20780	160	26	.	.	PUNCT
ajst-20780	161	1	we	we	PRON
ajst-20780	161	2	adjusted	adjust	VERB
ajst-20780	161	3	and	and	CCONJ
ajst-20780	161	4	optimized	optimize	VERB
ajst-20780	161	5	each	each	DET
ajst-20780	161	6	algorithm	algorithm	NOUN
ajst-20780	161	7	to	to	PART
ajst-20780	161	8	improve	improve	VERB
ajst-20780	161	9	its	its	PRON
ajst-20780	161	10	deuring	deure	VERB
ajst-20780	161	11	effect	effect	NOUN
ajst-20780	161	12	.	.	PUNCT
ajst-20780	162	1	first	first	ADV
ajst-20780	162	2	,	,	PUNCT
ajst-20780	162	3	we	we	PRON
ajst-20780	162	4	collected	collect	VERB
ajst-20780	162	5	a	a	DET
ajst-20780	162	6	large	large	ADJ
ajst-20780	162	7	number	number	NOUN
ajst-20780	162	8	of	of	ADP
ajst-20780	162	9	high	high	ADJ
ajst-20780	162	10	-	-	PUNCT
ajst-20780	162	11	frame	frame	NOUN
ajst-20780	162	12	rate	rate	NOUN
ajst-20780	162	13	camera	camera	NOUN
ajst-20780	162	14	image	image	NOUN
ajst-20780	162	15	data	datum	NOUN
ajst-20780	162	16	,	,	PUNCT
ajst-20780	162	17	and	and	CCONJ
ajst-20780	162	18	used	use	VERB
ajst-20780	162	19	our	our	PRON
ajst-20780	162	20	own	own	ADJ
ajst-20780	162	21	experimental	experimental	ADJ
ajst-20780	162	22	platform	platform	NOUN
ajst-20780	162	23	for	for	ADP
ajst-20780	162	24	experimental	experimental	ADJ
ajst-20780	162	25	verification	verification	NOUN
ajst-20780	162	26	.	.	PUNCT
ajst-20780	163	1	we	we	PRON
ajst-20780	163	2	selected	select	VERB
ajst-20780	163	3	a	a	DET
ajst-20780	163	4	series	series	NOUN
ajst-20780	163	5	of	of	ADP
ajst-20780	163	6	images	image	NOUN
ajst-20780	163	7	with	with	ADP
ajst-20780	163	8	different	different	ADJ
ajst-20780	163	9	degrees	degree	NOUN
ajst-20780	163	10	of	of	ADP
ajst-20780	163	11	blur	blur	NOUN
ajst-20780	163	12	for	for	ADP
ajst-20780	163	13	testing	testing	NOUN
ajst-20780	163	14	,	,	PUNCT
ajst-20780	163	15	and	and	CCONJ
ajst-20780	163	16	compared	compare	VERB
ajst-20780	163	17	the	the	DET
ajst-20780	163	18	performance	performance	NOUN
ajst-20780	163	19	of	of	ADP
ajst-20780	163	20	various	various	ADJ
ajst-20780	163	21	algorithm	algorithm	NOUN
ajst-20780	163	22	optimization	optimization	NOUN
ajst-20780	163	23	strategies	strategy	NOUN
ajst-20780	163	24	in	in	ADP
ajst-20780	163	25	the	the	DET
ajst-20780	163	26	deblur	deblur	NOUN
ajst-20780	163	27	effect	effect	NOUN
ajst-20780	163	28	.	.	PUNCT
ajst-20780	164	1	secondly	secondly	ADV
ajst-20780	164	2	,	,	PUNCT
ajst-20780	164	3	by	by	ADP
ajst-20780	164	4	comparing	compare	VERB
ajst-20780	164	5	the	the	DET
ajst-20780	164	6	experimental	experimental	ADJ
ajst-20780	164	7	results	result	NOUN
ajst-20780	164	8	,	,	PUNCT
ajst-20780	164	9	we	we	PRON
ajst-20780	164	10	find	find	VERB
ajst-20780	164	11	that	that	SCONJ
ajst-20780	164	12	the	the	DET
ajst-20780	164	13	deep	deep	ADJ
ajst-20780	164	14	learning	learning	NOUN
ajst-20780	164	15	-	-	PUNCT
ajst-20780	164	16	based	base	VERB
ajst-20780	164	17	fuzzy	fuzzy	ADJ
ajst-20780	164	18	removal	removal	NOUN
ajst-20780	164	19	algorithm	algorithm	NOUN
ajst-20780	164	20	performs	perform	VERB
ajst-20780	164	21	better	well	ADJ
ajst-20780	164	22	than	than	ADP
ajst-20780	164	23	the	the	DET
ajst-20780	164	24	other	other	ADJ
ajst-20780	164	25	two	two	NUM
ajst-20780	164	26	algorithms	algorithm	NOUN
ajst-20780	164	27	.	.	PUNCT
ajst-20780	165	1	this	this	PRON
ajst-20780	165	2	is	be	AUX
ajst-20780	165	3	due	due	ADJ
ajst-20780	165	4	to	to	ADP
ajst-20780	165	5	the	the	DET
ajst-20780	165	6	ability	ability	NOUN
ajst-20780	165	7	of	of	ADP
ajst-20780	165	8	deep	deep	ADJ
ajst-20780	165	9	learning	learning	NOUN
ajst-20780	165	10	algorithms	algorithm	NOUN
ajst-20780	165	11	to	to	PART
ajst-20780	165	12	achieve	achieve	VERB
ajst-20780	165	13	better	well	ADJ
ajst-20780	165	14	blur	blur	NOUN
ajst-20780	165	15	removal	removal	NOUN
ajst-20780	165	16	capabilities	capability	NOUN
ajst-20780	165	17	by	by	ADP
ajst-20780	165	18	training	train	VERB
ajst-20780	165	19	a	a	DET
ajst-20780	165	20	large	large	ADJ
ajst-20780	165	21	amount	amount	NOUN
ajst-20780	165	22	of	of	ADP
ajst-20780	165	23	image	image	NOUN
ajst-20780	165	24	data	datum	NOUN
ajst-20780	165	25	.	.	PUNCT
ajst-20780	166	1	this	this	DET
ajst-20780	166	2	finding	finding	NOUN
ajst-20780	166	3	confirms	confirm	VERB
ajst-20780	166	4	that	that	SCONJ
ajst-20780	166	5	deep	deep	ADJ
ajst-20780	166	6	learning	learning	NOUN
ajst-20780	166	7	algorithms	algorithm	NOUN
ajst-20780	166	8	have	have	VERB
ajst-20780	166	9	important	important	ADJ
ajst-20780	166	10	applications	application	NOUN
ajst-20780	166	11	in	in	ADP
ajst-20780	166	12	the	the	DET
ajst-20780	166	13	field	field	NOUN
ajst-20780	166	14	of	of	ADP
ajst-20780	166	15	high	high	ADJ
ajst-20780	166	16	frame	frame	NOUN
ajst-20780	166	17	-	-	PUNCT
ajst-20780	166	18	rate	rate	NOUN
ajst-20780	166	19	cameras	camera	NOUN
ajst-20780	166	20	.	.	PUNCT
ajst-20780	167	1	thirdly	thirdly	ADV
ajst-20780	167	2	,	,	PUNCT
ajst-20780	167	3	we	we	PRON
ajst-20780	167	4	also	also	ADV
ajst-20780	167	5	made	make	VERB
ajst-20780	167	6	a	a	DET
ajst-20780	167	7	quantitative	quantitative	ADJ
ajst-20780	167	8	measurement	measurement	NOUN
ajst-20780	167	9	of	of	ADP
ajst-20780	167	10	the	the	DET
ajst-20780	167	11	optimization	optimization	NOUN
ajst-20780	167	12	effect	effect	NOUN
ajst-20780	167	13	of	of	ADP
ajst-20780	167	14	different	different	ADJ
ajst-20780	167	15	algorithms	algorithm	NOUN
ajst-20780	167	16	.	.	PUNCT
ajst-20780	168	1	using	use	VERB
ajst-20780	168	2	psnr	psnr	NOUN
ajst-20780	168	3	(	(	PUNCT
ajst-20780	168	4	peak	peak	NOUN
ajst-20780	168	5	snr	snr	PROPN
ajst-20780	168	6	)	)	PUNCT
ajst-20780	168	7	and	and	CCONJ
ajst-20780	168	8	other	other	ADJ
ajst-20780	168	9	indicators	indicator	NOUN
ajst-20780	168	10	,	,	PUNCT
ajst-20780	168	11	we	we	PRON
ajst-20780	168	12	evaluated	evaluate	VERB
ajst-20780	168	13	the	the	DET
ajst-20780	168	14	effect	effect	NOUN
ajst-20780	168	15	of	of	ADP
ajst-20780	168	16	various	various	ADJ
ajst-20780	168	17	algorithm	algorithm	NOUN
ajst-20780	168	18	optimization	optimization	NOUN
ajst-20780	168	19	strategies	strategy	NOUN
ajst-20780	168	20	.	.	PUNCT
ajst-20780	169	1	the	the	DET
ajst-20780	169	2	experimental	experimental	ADJ
ajst-20780	169	3	results	result	NOUN
ajst-20780	169	4	show	show	VERB
ajst-20780	169	5	that	that	SCONJ
ajst-20780	169	6	the	the	DET
ajst-20780	169	7	fuzzy	fuzzy	ADJ
ajst-20780	169	8	removal	removal	NOUN
ajst-20780	169	9	algorithm	algorithm	NOUN
ajst-20780	169	10	based	base	VERB
ajst-20780	169	11	on	on	ADP
ajst-20780	169	12	deep	deep	ADJ
ajst-20780	169	13	learning	learning	NOUN
ajst-20780	169	14	has	have	AUX
ajst-20780	169	15	obtained	obtain	VERB
ajst-20780	169	16	higher	high	ADJ
ajst-20780	169	17	psnr	psnr	NOUN
ajst-20780	169	18	values	value	NOUN
ajst-20780	169	19	in	in	ADP
ajst-20780	169	20	different	different	ADJ
ajst-20780	169	21	scenarios	scenario	NOUN
ajst-20780	169	22	,	,	PUNCT
ajst-20780	169	23	which	which	PRON
ajst-20780	169	24	is	be	AUX
ajst-20780	169	25	closer	close	ADJ
ajst-20780	169	26	to	to	ADP
ajst-20780	169	27	the	the	DET
ajst-20780	169	28	visual	visual	ADJ
ajst-20780	169	29	effect	effect	NOUN
ajst-20780	169	30	of	of	ADP
ajst-20780	169	31	the	the	DET
ajst-20780	169	32	human	human	ADJ
ajst-20780	169	33	eye	eye	NOUN
ajst-20780	169	34	.	.	PUNCT
ajst-20780	170	1	fourth	fourth	ADJ
ajst-20780	170	2	,	,	PUNCT
ajst-20780	170	3	we	we	PRON
ajst-20780	170	4	further	far	ADV
ajst-20780	170	5	verified	verify	VERB
ajst-20780	170	6	the	the	DET
ajst-20780	170	7	robustness	robustness	NOUN
ajst-20780	170	8	and	and	CCONJ
ajst-20780	170	9	practicability	practicability	NOUN
ajst-20780	170	10	of	of	ADP
ajst-20780	170	11	the	the	DET
ajst-20780	170	12	optimized	optimize	VERB
ajst-20780	170	13	algorithm	algorithm	NOUN
ajst-20780	170	14	through	through	ADP
ajst-20780	170	15	comparative	comparative	ADJ
ajst-20780	170	16	experiments	experiment	NOUN
ajst-20780	170	17	.	.	PUNCT
ajst-20780	171	1	we	we	PRON
ajst-20780	171	2	used	use	VERB
ajst-20780	171	3	multiple	multiple	ADJ
ajst-20780	171	4	sets	set	NOUN
ajst-20780	171	5	of	of	ADP
ajst-20780	171	6	actual	actual	ADJ
ajst-20780	171	7	shot	shot	NOUN
ajst-20780	171	8	images	image	NOUN
ajst-20780	171	9	from	from	ADP
ajst-20780	171	10	different	different	ADJ
ajst-20780	171	11	cameras	camera	NOUN
ajst-20780	171	12	for	for	ADP
ajst-20780	171	13	testing	testing	NOUN
ajst-20780	171	14	and	and	CCONJ
ajst-20780	171	15	tested	test	VERB
ajst-20780	171	16	the	the	DET
ajst-20780	171	17	performance	performance	NOUN
ajst-20780	171	18	of	of	ADP
ajst-20780	171	19	the	the	DET
ajst-20780	171	20	algorithm	algorithm	NOUN
ajst-20780	171	21	under	under	ADP
ajst-20780	171	22	different	different	ADJ
ajst-20780	171	23	illumination	illumination	NOUN
ajst-20780	171	24	,	,	PUNCT
ajst-20780	171	25	motion	motion	NOUN
ajst-20780	171	26	speed	speed	NOUN
ajst-20780	171	27	,	,	PUNCT
ajst-20780	171	28	etc	etc	X
ajst-20780	171	29	.	.	X
ajst-20780	172	1	the	the	DET
ajst-20780	172	2	experimental	experimental	ADJ
ajst-20780	172	3	results	result	NOUN
ajst-20780	172	4	show	show	VERB
ajst-20780	172	5	that	that	SCONJ
ajst-20780	172	6	the	the	DET
ajst-20780	172	7	optimized	optimize	VERB
ajst-20780	172	8	algorithm	algorithm	NOUN
ajst-20780	172	9	can	can	AUX
ajst-20780	172	10	still	still	ADV
ajst-20780	172	11	can	can	AUX
ajst-20780	172	12	effectively	effectively	ADV
ajst-20780	172	13	remove	remove	VERB
ajst-20780	172	14	blur	blur	NOUN
ajst-20780	172	15	effects	effect	NOUN
ajst-20780	172	16	in	in	ADP
ajst-20780	172	17	complex	complex	ADJ
ajst-20780	172	18	environment	environment	NOUN
ajst-20780	172	19	,	,	PUNCT
ajst-20780	172	20	thus	thus	ADV
ajst-20780	172	21	demonstrating	demonstrate	VERB
ajst-20780	172	22	its	its	PRON
ajst-20780	172	23	robustness	robustness	NOUN
ajst-20780	172	24	and	and	CCONJ
ajst-20780	172	25	practicality	practicality	NOUN
ajst-20780	172	26	.	.	PUNCT
ajst-20780	173	1	in	in	ADP
ajst-20780	173	2	conclusion	conclusion	NOUN
ajst-20780	173	3	,	,	PUNCT
ajst-20780	173	4	by	by	ADP
ajst-20780	173	5	optimizing	optimize	VERB
ajst-20780	173	6	the	the	DET
ajst-20780	173	7	high	high	ADJ
ajst-20780	173	8	frame	frame	NOUN
ajst-20780	173	9	-	-	PUNCT
ajst-20780	173	10	rate	rate	NOUN
ajst-20780	173	11	camera	camera	NOUN
ajst-20780	173	12	algorithm	algorithm	NOUN
ajst-20780	173	13	and	and	CCONJ
ajst-20780	173	14	conducting	conduct	VERB
ajst-20780	173	15	detailed	detailed	ADJ
ajst-20780	173	16	comparison	comparison	NOUN
ajst-20780	173	17	experiments	experiment	NOUN
ajst-20780	173	18	,	,	PUNCT
ajst-20780	173	19	we	we	PRON
ajst-20780	173	20	verify	verify	VERB
ajst-20780	173	21	the	the	DET
ajst-20780	173	22	effectiveness	effectiveness	NOUN
ajst-20780	173	23	of	of	ADP
ajst-20780	173	24	the	the	DET
ajst-20780	173	25	optimization	optimization	NOUN
ajst-20780	173	26	strategy	strategy	NOUN
ajst-20780	173	27	and	and	CCONJ
ajst-20780	173	28	confirm	confirm	VERB
ajst-20780	173	29	that	that	PRON
ajst-20780	173	30	deep	deep	ADJ
ajst-20780	173	31	learning	learning	NOUN
ajst-20780	173	32	-	-	PUNCT
ajst-20780	173	33	based	base	VERB
ajst-20780	173	34	fuzzy	fuzzy	ADJ
ajst-20780	173	35	removal	removal	NOUN
ajst-20780	173	36	algorithms	algorithm	NOUN
ajst-20780	173	37	have	have	VERB
ajst-20780	173	38	good	good	ADJ
ajst-20780	173	39	potential	potential	NOUN
ajst-20780	173	40	in	in	ADP
ajst-20780	173	41	the	the	DET
ajst-20780	173	42	field	field	NOUN
ajst-20780	173	43	of	of	ADP
ajst-20780	173	44	high	high	ADJ
ajst-20780	173	45	frame	frame	NOUN
ajst-20780	173	46	-	-	PUNCT
ajst-20780	173	47	rate	rate	NOUN
ajst-20780	173	48	cameras	camera	NOUN
ajst-20780	173	49	.	.	PUNCT
ajst-20780	174	1	this	this	PRON
ajst-20780	174	2	provides	provide	VERB
ajst-20780	174	3	important	important	ADJ
ajst-20780	174	4	reference	reference	NOUN
ajst-20780	174	5	and	and	CCONJ
ajst-20780	174	6	guidance	guidance	NOUN
ajst-20780	174	7	for	for	ADP
ajst-20780	174	8	further	further	ADJ
ajst-20780	174	9	research	research	NOUN
ajst-20780	174	10	and	and	CCONJ
ajst-20780	174	11	application	application	NOUN
ajst-20780	174	12	of	of	ADP
ajst-20780	174	13	high	high	ADJ
ajst-20780	174	14	-	-	PUNCT
ajst-20780	174	15	rate	rate	NOUN
ajst-20780	174	16	camera	camera	NOUN
ajst-20780	174	17	deblur	deblur	NOUN
ajst-20780	174	18	algorithm	algorithm	PROPN
ajst-20780	174	19	.	.	PUNCT
ajst-20780	175	1	5	5	X
ajst-20780	175	2	.	.	X
ajst-20780	175	3	summary	summary	NOUN
ajst-20780	175	4	and	and	CCONJ
ajst-20780	175	5	outlook	outlook	VERB
ajst-20780	175	6	the	the	DET
ajst-20780	175	7	goal	goal	NOUN
ajst-20780	175	8	of	of	ADP
ajst-20780	175	9	this	this	DET
ajst-20780	175	10	study	study	NOUN
ajst-20780	175	11	is	be	AUX
ajst-20780	175	12	to	to	PART
ajst-20780	175	13	thoroughly	thoroughly	ADV
ajst-20780	175	14	investigate	investigate	VERB
ajst-20780	175	15	the	the	DET
ajst-20780	175	16	high	high	ADJ
ajst-20780	175	17	frame	frame	NOUN
ajst-20780	175	18	rate	rate	NOUN
ajst-20780	175	19	camera	camera	NOUN
ajst-20780	175	20	deblur	deblur	NOUN
ajst-20780	175	21	algorithm	algorithm	PROPN
ajst-20780	175	22	.	.	PUNCT
ajst-20780	176	1	to	to	PART
ajst-20780	176	2	achieve	achieve	VERB
ajst-20780	176	3	this	this	DET
ajst-20780	176	4	goal	goal	NOUN
ajst-20780	176	5	,	,	PUNCT
ajst-20780	176	6	we	we	PRON
ajst-20780	176	7	conducted	conduct	VERB
ajst-20780	176	8	a	a	DET
ajst-20780	176	9	systematic	systematic	ADJ
ajst-20780	176	10	investigation	investigation	NOUN
ajst-20780	176	11	and	and	CCONJ
ajst-20780	176	12	analysis	analysis	NOUN
ajst-20780	176	13	of	of	ADP
ajst-20780	176	14	the	the	DET
ajst-20780	176	15	working	working	ADJ
ajst-20780	176	16	principle	principle	NOUN
ajst-20780	176	17	of	of	ADP
ajst-20780	176	18	high	high	ADJ
ajst-20780	176	19	frame	frame	NOUN
ajst-20780	176	20	rate	rate	NOUN
ajst-20780	176	21	cameras	camera	NOUN
ajst-20780	176	22	and	and	CCONJ
ajst-20780	176	23	the	the	DET
ajst-20780	176	24	existing	exist	VERB
ajst-20780	176	25	deblur	deblur	NOUN
ajst-20780	176	26	algorithm	algorithm	NOUN
ajst-20780	176	27	in	in	ADP
ajst-20780	176	28	the	the	DET
ajst-20780	176	29	initial	initial	ADJ
ajst-20780	176	30	stage	stage	NOUN
ajst-20780	176	31	.	.	PUNCT
ajst-20780	177	1	through	through	ADP
ajst-20780	177	2	the	the	DET
ajst-20780	177	3	in	in	ADP
ajst-20780	177	4	-	-	PUNCT
ajst-20780	177	5	depth	depth	NOUN
ajst-20780	177	6	study	study	NOUN
ajst-20780	177	7	and	and	CCONJ
ajst-20780	177	8	reference	reference	NOUN
ajst-20780	177	9	of	of	ADP
ajst-20780	177	10	the	the	DET
ajst-20780	177	11	relevant	relevant	ADJ
ajst-20780	177	12	literature	literature	NOUN
ajst-20780	177	13	,	,	PUNCT
ajst-20780	177	14	we	we	PRON
ajst-20780	177	15	establish	establish	VERB
ajst-20780	177	16	a	a	DET
ajst-20780	177	17	basic	basic	ADJ
ajst-20780	177	18	research	research	NOUN
ajst-20780	177	19	framework	framework	NOUN
ajst-20780	177	20	,	,	PUNCT
ajst-20780	177	21	and	and	CCONJ
ajst-20780	177	22	gradually	gradually	ADV
ajst-20780	177	23	carry	carry	VERB
ajst-20780	177	24	out	out	ADP
ajst-20780	177	25	the	the	DET
ajst-20780	177	26	corresponding	correspond	VERB
ajst-20780	177	27	experimental	experimental	ADJ
ajst-20780	177	28	and	and	CCONJ
ajst-20780	177	29	analysis	analysis	NOUN
ajst-20780	177	30	work	work	NOUN
ajst-20780	177	31	.	.	PUNCT
ajst-20780	178	1	although	although	SCONJ
ajst-20780	178	2	some	some	DET
ajst-20780	178	3	progress	progress	NOUN
ajst-20780	178	4	has	have	AUX
ajst-20780	178	5	been	be	AUX
ajst-20780	178	6	made	make	VERB
ajst-20780	178	7	in	in	ADP
ajst-20780	178	8	the	the	DET
ajst-20780	178	9	study	study	NOUN
ajst-20780	178	10	of	of	ADP
ajst-20780	178	11	the	the	DET
ajst-20780	178	12	camera	camera	NOUN
ajst-20780	178	13	de	de	PROPN
ajst-20780	178	14	-	-	ADJ
ajst-20780	178	15	blur	blur	ADJ
ajst-20780	178	16	algorithm	algorithm	NOUN
ajst-20780	178	17	,	,	PUNCT
ajst-20780	178	18	there	there	PRON
ajst-20780	178	19	are	be	VERB
ajst-20780	178	20	still	still	ADV
ajst-20780	178	21	some	some	DET
ajst-20780	178	22	problems	problem	NOUN
ajst-20780	178	23	and	and	CCONJ
ajst-20780	178	24	challenges	challenge	NOUN
ajst-20780	178	25	to	to	PART
ajst-20780	178	26	be	be	AUX
ajst-20780	178	27	solved	solve	VERB
ajst-20780	178	28	.	.	PUNCT
ajst-20780	179	1	(	(	PUNCT
ajst-20780	179	2	1	1	X
ajst-20780	179	3	)	)	PUNCT
ajst-20780	179	4	by	by	ADP
ajst-20780	179	5	introducing	introduce	VERB
ajst-20780	179	6	more	more	ADV
ajst-20780	179	7	prior	prior	ADJ
ajst-20780	179	8	knowledge	knowledge	NOUN
ajst-20780	179	9	and	and	CCONJ
ajst-20780	179	10	data	data	NOUN
ajst-20780	179	11	-	-	PUNCT
ajst-20780	179	12	driven	drive	VERB
ajst-20780	179	13	methods	method	NOUN
ajst-20780	179	14	,	,	PUNCT
ajst-20780	179	15	we	we	PRON
ajst-20780	179	16	can	can	AUX
ajst-20780	179	17	improve	improve	VERB
ajst-20780	179	18	the	the	DET
ajst-20780	179	19	adaptability	adaptability	NOUN
ajst-20780	179	20	of	of	ADP
ajst-20780	179	21	the	the	DET
ajst-20780	179	22	algorithm	algorithm	NOUN
ajst-20780	179	23	to	to	ADP
ajst-20780	179	24	different	different	ADJ
ajst-20780	179	25	scenarios	scenario	NOUN
ajst-20780	179	26	and	and	CCONJ
ajst-20780	179	27	blur	blur	NOUN
ajst-20780	179	28	types	type	NOUN
ajst-20780	179	29	,	,	PUNCT
ajst-20780	179	30	thus	thus	ADV
ajst-20780	179	31	improving	improve	VERB
ajst-20780	179	32	the	the	DET
ajst-20780	179	33	effect	effect	NOUN
ajst-20780	179	34	of	of	ADP
ajst-20780	179	35	deblurring	deblurring	NOUN
ajst-20780	179	36	.	.	PUNCT
ajst-20780	180	1	(	(	PUNCT
ajst-20780	180	2	2	2	X
ajst-20780	180	3	)	)	PUNCT
ajst-20780	180	4	the	the	DET
ajst-20780	180	5	influence	influence	NOUN
ajst-20780	180	6	of	of	ADP
ajst-20780	180	7	the	the	DET
ajst-20780	180	8	optical	optical	ADJ
ajst-20780	180	9	system	system	NOUN
ajst-20780	180	10	,	,	PUNCT
ajst-20780	180	11	sensor	sensor	NOUN
ajst-20780	180	12	characteristics	characteristic	NOUN
ajst-20780	180	13	and	and	CCONJ
ajst-20780	180	14	other	other	ADJ
ajst-20780	180	15	factors	factor	NOUN
ajst-20780	180	16	on	on	ADP
ajst-20780	180	17	image	image	NOUN
ajst-20780	180	18	blur	blur	NOUN
ajst-20780	180	19	,	,	PUNCT
ajst-20780	180	20	which	which	PRON
ajst-20780	180	21	can	can	AUX
ajst-20780	180	22	improve	improve	VERB
ajst-20780	180	23	the	the	DET
ajst-20780	180	24	accuracy	accuracy	NOUN
ajst-20780	180	25	and	and	CCONJ
ajst-20780	180	26	stability	stability	NOUN
ajst-20780	180	27	of	of	ADP
ajst-20780	180	28	the	the	DET
ajst-20780	180	29	algorithm	algorithm	NOUN
ajst-20780	180	30	.	.	PUNCT
ajst-20780	181	1	(	(	PUNCT
ajst-20780	181	2	3	3	X
ajst-20780	181	3	)	)	PUNCT
ajst-20780	181	4	researchers	researcher	NOUN
ajst-20780	181	5	can	can	AUX
ajst-20780	181	6	build	build	VERB
ajst-20780	181	7	a	a	DET
ajst-20780	181	8	publicly	publicly	ADV
ajst-20780	181	9	available	available	ADJ
ajst-20780	181	10	,	,	PUNCT
ajst-20780	181	11	representative	representative	ADJ
ajst-20780	181	12	high	high	ADJ
ajst-20780	181	13	-	-	PUNCT
ajst-20780	181	14	frame	frame	NOUN
ajst-20780	181	15	-	-	PUNCT
ajst-20780	181	16	rate	rate	NOUN
ajst-20780	181	17	camera	camera	NOUN
ajst-20780	181	18	58	58	NUM
ajst-20780	181	19	deblur	deblur	NOUN
ajst-20780	181	20	dataset	dataset	VERB
ajst-20780	181	21	to	to	PART
ajst-20780	181	22	facilitate	facilitate	VERB
ajst-20780	181	23	algorithm	algorithm	NOUN
ajst-20780	181	24	evaluation	evaluation	NOUN
ajst-20780	181	25	and	and	CCONJ
ajst-20780	181	26	comparison	comparison	NOUN
ajst-20780	181	27	.	.	PUNCT
ajst-20780	182	1	this	this	DET
ajst-20780	182	2	dataset	dataset	NOUN
ajst-20780	182	3	should	should	AUX
ajst-20780	182	4	contain	contain	VERB
ajst-20780	182	5	images	image	NOUN
ajst-20780	182	6	of	of	ADP
ajst-20780	182	7	different	different	ADJ
ajst-20780	182	8	scenarios	scenario	NOUN
ajst-20780	182	9	,	,	PUNCT
ajst-20780	182	10	different	different	ADJ
ajst-20780	182	11	types	type	NOUN
ajst-20780	182	12	and	and	CCONJ
ajst-20780	182	13	degrees	degree	NOUN
ajst-20780	182	14	of	of	ADP
ajst-20780	182	15	blur	blur	NOUN
ajst-20780	182	16	,	,	PUNCT
ajst-20780	182	17	and	and	CCONJ
ajst-20780	182	18	combine	combine	VERB
ajst-20780	182	19	with	with	ADP
ajst-20780	182	20	a	a	DET
ajst-20780	182	21	set	set	NOUN
ajst-20780	182	22	of	of	ADP
ajst-20780	182	23	scientific	scientific	ADJ
ajst-20780	182	24	and	and	CCONJ
ajst-20780	182	25	reasonable	reasonable	ADJ
ajst-20780	182	26	evaluation	evaluation	NOUN
ajst-20780	182	27	methods	method	NOUN
ajst-20780	182	28	to	to	PART
ajst-20780	182	29	evaluate	evaluate	VERB
ajst-20780	182	30	the	the	DET
ajst-20780	182	31	performance	performance	NOUN
ajst-20780	182	32	of	of	ADP
ajst-20780	182	33	the	the	DET
ajst-20780	182	34	deblurring	deblurring	ADJ
ajst-20780	182	35	algorithm	algorithm	NOUN
ajst-20780	182	36	.	.	PUNCT
ajst-20780	183	1	(	(	PUNCT
ajst-20780	183	2	4	4	X
ajst-20780	183	3	)	)	PUNCT
ajst-20780	183	4	in	in	ADP
ajst-20780	183	5	addition	addition	NOUN
ajst-20780	183	6	to	to	ADP
ajst-20780	183	7	deuring	deure	VERB
ajst-20780	183	8	algorithms	algorithm	NOUN
ajst-20780	183	9	for	for	ADP
ajst-20780	183	10	high	high	ADJ
ajst-20780	183	11	frame	frame	NOUN
ajst-20780	183	12	rate	rate	NOUN
ajst-20780	183	13	cameras	camera	NOUN
ajst-20780	183	14	,	,	PUNCT
ajst-20780	183	15	future	future	ADJ
ajst-20780	183	16	studies	study	NOUN
ajst-20780	183	17	can	can	AUX
ajst-20780	183	18	explore	explore	VERB
ajst-20780	183	19	their	their	PRON
ajst-20780	183	20	applications	application	NOUN
ajst-20780	183	21	in	in	ADP
ajst-20780	183	22	a	a	DET
ajst-20780	183	23	broader	broad	ADJ
ajst-20780	183	24	field	field	NOUN
ajst-20780	183	25	.	.	PUNCT
ajst-20780	184	1	for	for	ADP
ajst-20780	184	2	example	example	NOUN
ajst-20780	184	3	,	,	PUNCT
ajst-20780	184	4	in	in	ADP
ajst-20780	184	5	the	the	DET
ajst-20780	184	6	fields	field	NOUN
ajst-20780	184	7	of	of	ADP
ajst-20780	184	8	medical	medical	ADJ
ajst-20780	184	9	imaging	imaging	NOUN
ajst-20780	184	10	,	,	PUNCT
ajst-20780	184	11	security	security	NOUN
ajst-20780	184	12	monitoring	monitoring	NOUN
ajst-20780	184	13	,	,	PUNCT
ajst-20780	184	14	and	and	CCONJ
ajst-20780	184	15	industrial	industrial	ADJ
ajst-20780	184	16	detection	detection	NOUN
ajst-20780	184	17	,	,	PUNCT
ajst-20780	184	18	high	high	ADJ
ajst-20780	184	19	-	-	PUNCT
ajst-20780	184	20	frame	frame	NOUN
ajst-20780	184	21	rate	rate	NOUN
ajst-20780	184	22	cameras	camera	NOUN
ajst-20780	184	23	can	can	AUX
ajst-20780	184	24	help	help	VERB
ajst-20780	184	25	improve	improve	VERB
ajst-20780	184	26	image	image	NOUN
ajst-20780	184	27	quality	quality	NOUN
ajst-20780	184	28	,	,	PUNCT
ajst-20780	184	29	improve	improve	VERB
ajst-20780	184	30	diagnostic	diagnostic	ADJ
ajst-20780	184	31	accuracy	accuracy	NOUN
ajst-20780	184	32	and	and	CCONJ
ajst-20780	184	33	production	production	NOUN
ajst-20780	184	34	efficiency	efficiency	NOUN
ajst-20780	184	35	.	.	PUNCT
ajst-20780	185	1	therefore	therefore	ADV
ajst-20780	185	2	,	,	PUNCT
ajst-20780	185	3	researchers	researcher	NOUN
ajst-20780	185	4	can	can	AUX
ajst-20780	185	5	further	far	ADV
ajst-20780	185	6	combine	combine	VERB
ajst-20780	185	7	the	the	DET
ajst-20780	185	8	deblurring	deblurre	VERB
ajst-20780	185	9	algorithm	algorithm	NOUN
ajst-20780	185	10	with	with	ADP
ajst-20780	185	11	specific	specific	ADJ
ajst-20780	185	12	application	application	NOUN
ajst-20780	185	13	scenarios	scenario	NOUN
ajst-20780	185	14	to	to	PART
ajst-20780	185	15	explore	explore	VERB
ajst-20780	185	16	more	more	ADJ
ajst-20780	185	17	innovative	innovative	ADJ
ajst-20780	185	18	applications	application	NOUN
ajst-20780	185	19	and	and	CCONJ
ajst-20780	185	20	solutions	solution	NOUN
ajst-20780	185	21	.	.	PUNCT
ajst-20780	186	1	references	reference	NOUN
ajst-20780	186	2	[	[	X
ajst-20780	186	3	1	1	NUM
ajst-20780	186	4	]	]	X
ajst-20780	186	5	dong	dong	PROPN
ajst-20780	186	6	,	,	PUNCT
ajst-20780	186	7	h.	h.	PROPN
ajst-20780	186	8	(	(	PUNCT
ajst-20780	186	9	2020	2020	NUM
ajst-20780	186	10	)	)	PUNCT
ajst-20780	186	11	phd	phd	NOUN
ajst-20780	186	12	thesis	thesis	NOUN
ajst-20780	186	13	of	of	ADP
ajst-20780	186	14	tianjin	tianjin	PROPN
ajst-20780	186	15	university	university	PROPN
ajst-20780	186	16	.	.	PUNCT
ajst-20780	187	1	study	study	NOUN
ajst-20780	187	2	on	on	ADP
ajst-20780	187	3	fast	fast	ADJ
ajst-20780	187	4	and	and	CCONJ
ajst-20780	187	5	high	high	ADJ
ajst-20780	187	6	-	-	PUNCT
ajst-20780	187	7	precision	precision	NOUN
ajst-20780	187	8	pose	pose	NOUN
ajst-20780	187	9	measurement	measurement	NOUN
ajst-20780	187	10	methods	method	NOUN
ajst-20780	187	11	for	for	ADP
ajst-20780	187	12	multifeature	multifeature	NOUN
ajst-20780	187	13	point	point	NOUN
ajst-20780	187	14	matching	matching	NOUN
ajst-20780	187	15	of	of	ADP
ajst-20780	187	16	spatial	spatial	ADJ
ajst-20780	187	17	targets	target	NOUN
ajst-20780	187	18	.	.	PUNCT
ajst-20780	188	1	thesis	thesis	NOUN
ajst-20780	188	2	of	of	ADP
ajst-20780	188	3	tianjin	tianjin	PROPN
ajst-20780	188	4	university	university	PROPN
ajst-20780	188	5	.	.	PUNCT
ajst-20780	189	1	[	[	X
ajst-20780	189	2	2	2	NUM
ajst-20780	189	3	]	]	SYM
ajst-20780	189	4	tao	tao	PROPN
ajst-20780	189	5	,	,	PUNCT
ajst-20780	189	6	z.	z.	PROPN
ajst-20780	189	7	(	(	PUNCT
ajst-20780	189	8	2016	2016	NUM
ajst-20780	189	9	)	)	PUNCT
ajst-20780	189	10	master	master	NOUN
ajst-20780	189	11	thesis	thesis	NOUN
ajst-20780	189	12	of	of	ADP
ajst-20780	189	13	shenzhen	shenzhen	PROPN
ajst-20780	189	14	university	university	PROPN
ajst-20780	189	15	.	.	PUNCT
ajst-20780	190	1	study	study	NOUN
ajst-20780	190	2	on	on	ADP
ajst-20780	190	3	vascular	vascular	ADJ
ajst-20780	190	4	ultrasound	ultrasound	NOUN
ajst-20780	190	5	elastography	elastography	NOUN
ajst-20780	190	6	method	method	NOUN
ajst-20780	190	7	based	base	VERB
ajst-20780	190	8	on	on	ADP
ajst-20780	190	9	high	high	ADJ
ajst-20780	190	10	frame	frame	NOUN
ajst-20780	190	11	rate	rate	NOUN
ajst-20780	190	12	imaging	imaging	NOUN
ajst-20780	190	13	.	.	PUNCT
ajst-20780	191	1	thesis	thesis	NOUN
ajst-20780	191	2	of	of	ADP
ajst-20780	191	3	shenzhen	shenzhen	PROPN
ajst-20780	191	4	university	university	PROPN
ajst-20780	191	5	.	.	PUNCT
ajst-20780	192	1	[	[	X
ajst-20780	192	2	3	3	NUM
ajst-20780	192	3	]	]	X
ajst-20780	192	4	chen	chen	PROPN
ajst-20780	192	5	,	,	PUNCT
ajst-20780	192	6	j.	j.	PROPN
ajst-20780	192	7	(	(	PUNCT
ajst-20780	192	8	2016	2016	NUM
ajst-20780	192	9	)	)	PUNCT
ajst-20780	192	10	the	the	DET
ajst-20780	192	11	master	master	NOUN
ajst-20780	192	12	's	's	PART
ajst-20780	192	13	degree	degree	NOUN
ajst-20780	192	14	thesis	thesis	NOUN
ajst-20780	192	15	of	of	ADP
ajst-20780	192	16	southeast	southeast	PROPN
ajst-20780	192	17	university	university	NOUN
ajst-20780	192	18	.	.	PUNCT
ajst-20780	193	1	infrared	infrared	ADJ
ajst-20780	193	2	and	and	CCONJ
ajst-20780	193	3	weak	weak	ADJ
ajst-20780	193	4	target	target	NOUN
ajst-20780	193	5	detection	detection	NOUN
ajst-20780	193	6	.	.	PUNCT
ajst-20780	194	1	thesis	thesis	NOUN
ajst-20780	194	2	of	of	ADP
ajst-20780	194	3	southeast	southeast	ADJ
ajst-20780	194	4	university	university	NOUN
ajst-20780	194	5	.	.	PUNCT
ajst-20780	195	1	[	[	X
ajst-20780	195	2	4	4	NUM
ajst-20780	195	3	]	]	SYM
ajst-20780	195	4	mao	mao	PROPN
ajst-20780	195	5	,	,	PUNCT
ajst-20780	195	6	y.	y.	PROPN
ajst-20780	195	7	(	(	PUNCT
ajst-20780	195	8	2011	2011	NUM
ajst-20780	195	9	)	)	PUNCT
ajst-20780	195	10	master	master	NOUN
ajst-20780	195	11	thesis	thesis	NOUN
ajst-20780	195	12	of	of	ADP
ajst-20780	195	13	changchun	changchun	PROPN
ajst-20780	195	14	university	university	PROPN
ajst-20780	195	15	of	of	ADP
ajst-20780	195	16	technology	technology	NOUN
ajst-20780	195	17	.	.	PUNCT
ajst-20780	196	1	application	application	NOUN
ajst-20780	196	2	and	and	CCONJ
ajst-20780	196	3	research	research	NOUN
ajst-20780	196	4	of	of	ADP
ajst-20780	196	5	visual	visual	ADJ
ajst-20780	196	6	technology	technology	NOUN
ajst-20780	196	7	in	in	ADP
ajst-20780	196	8	the	the	DET
ajst-20780	196	9	automatic	automatic	ADJ
ajst-20780	196	10	detection	detection	NOUN
ajst-20780	196	11	system	system	NOUN
ajst-20780	196	12	of	of	ADP
ajst-20780	196	13	tire	tire	NOUN
ajst-20780	196	14	cord	cord	NOUN
ajst-20780	196	15	quality	quality	NOUN
ajst-20780	196	16	.	.	PUNCT
ajst-20780	197	1	thesis	thesis	NOUN
ajst-20780	197	2	of	of	ADP
ajst-20780	197	3	changchun	changchun	PROPN
ajst-20780	197	4	university	university	PROPN
ajst-20780	197	5	of	of	ADP
ajst-20780	197	6	technology	technology	NOUN
ajst-20780	197	7	.	.	PUNCT
ajst-20780	198	1	[	[	X
ajst-20780	198	2	5	5	NUM
ajst-20780	198	3	]	]	X
ajst-20780	198	4	zhang	zhang	PROPN
ajst-20780	198	5	,	,	PUNCT
ajst-20780	198	6	cj	cj	PROPN
ajst-20780	198	7	.	.	PUNCT
ajst-20780	199	1	(	(	PUNCT
ajst-20780	199	2	2013	2013	NUM
ajst-20780	199	3	)	)	PUNCT
ajst-20780	199	4	digital	digital	ADJ
ajst-20780	199	5	image	image	NOUN
ajst-20780	199	6	processing	processing	NOUN
ajst-20780	199	7	and	and	CCONJ
ajst-20780	199	8	its	its	PRON
ajst-20780	199	9	application	application	NOUN
ajst-20780	199	10	.	.	PUNCT
ajst-20780	200	1	tsinghua	tsinghua	PROPN
ajst-20780	200	2	university	university	PROPN
ajst-20780	200	3	press	press	PROPN
ajst-20780	200	4	,	,	PUNCT
ajst-20780	200	5	zhejiang	zhejiang	PROPN
ajst-20780	200	6	.	.	PUNCT
ajst-20780	201	1	[	[	X
ajst-20780	201	2	6	6	NUM
ajst-20780	201	3	]	]	SYM
ajst-20780	201	4	yang	yang	PROPN
ajst-20780	201	5	,	,	PUNCT
ajst-20780	201	6	ap	ap	PROPN
ajst-20780	201	7	.	.	PUNCT
ajst-20780	201	8	(	(	PUNCT
ajst-20780	201	9	2021	2021	NUM
ajst-20780	201	10	)	)	PUNCT
ajst-20780	201	11	deblurring	deblurring	NOUN
ajst-20780	201	12	based	base	VERB
ajst-20780	201	13	on	on	ADP
ajst-20780	201	14	high	high	ADJ
ajst-20780	201	15	-	-	PUNCT
ajst-20780	201	16	resolution	resolution	NOUN
ajst-20780	201	17	feature	feature	NOUN
ajst-20780	201	18	retention	retention	NOUN
ajst-20780	201	19	.	.	PUNCT
ajst-20780	202	1	journal	journal	PROPN
ajst-20780	202	2	of	of	ADP
ajst-20780	202	3	tianjin	tianjin	PROPN
ajst-20780	202	4	university,4:331	university,4:331	PROPN
ajst-20780	202	5	-	-	NUM
ajst-20780	202	6	337	337	NUM
ajst-20780	202	7	.	.	PUNCT