id	sid	tid	token	lemma	pos
fcis-29349	1	1	frontiers	frontier	NOUN
fcis-29349	1	2	in	in	ADP
fcis-29349	1	3	computing	computing	NOUN
fcis-29349	1	4	and	and	CCONJ
fcis-29349	1	5	intelligent	intelligent	ADJ
fcis-29349	1	6	systems	system	NOUN
fcis-29349	1	7	issn	issn	VERB
fcis-29349	1	8	:	:	PUNCT
fcis-29349	1	9	2832	2832	NUM
fcis-29349	1	10	-	-	SYM
fcis-29349	1	11	6024	6024	NUM
fcis-29349	1	12	|	|	NOUN
fcis-29349	1	13	vol	vol	NOUN
fcis-29349	1	14	.	.	PROPN
fcis-29349	2	1	11	11	NUM
fcis-29349	2	2	,	,	PUNCT
fcis-29349	2	3	no	no	INTJ
fcis-29349	2	4	.	.	NOUN
fcis-29349	2	5	1	1	NUM
fcis-29349	2	6	,	,	PUNCT
fcis-29349	2	7	2025	2025	NUM
fcis-29349	2	8	80	80	NUM
fcis-29349	2	9	optimization	optimization	NOUN
fcis-29349	2	10	of	of	ADP
fcis-29349	2	11	underwater	underwater	ADJ
fcis-29349	2	12	images	image	NOUN
fcis-29349	2	13	based	base	VERB
fcis-29349	2	14	on	on	ADP
fcis-29349	2	15	gray	gray	ADJ
fcis-29349	2	16	world	world	NOUN
fcis-29349	2	17	algorithm	algorithm	NOUN
fcis-29349	2	18	and	and	CCONJ
fcis-29349	2	19	jaffe‐mcglamery	jaffe‐mcglamery	NOUN
fcis-29349	2	20	models	model	NOUN
fcis-29349	2	21	wendong	wendong	VERB
fcis-29349	2	22	wu	wu	PROPN
fcis-29349	3	1	*	*	PROPN
fcis-29349	3	2	,	,	PUNCT
fcis-29349	3	3	minmin	minmin	PROPN
fcis-29349	3	4	yao	yao	PROPN
fcis-29349	3	5	school	school	NOUN
fcis-29349	3	6	of	of	ADP
fcis-29349	3	7	geography	geography	NOUN
fcis-29349	3	8	geomatics	geomatics	PROPN
fcis-29349	3	9	and	and	CCONJ
fcis-29349	3	10	planning	planning	NOUN
fcis-29349	3	11	,	,	PUNCT
fcis-29349	3	12	jiangsu	jiangsu	PROPN
fcis-29349	3	13	normal	normal	ADJ
fcis-29349	3	14	university	university	PROPN
fcis-29349	3	15	,	,	PUNCT
fcis-29349	3	16	xuzhou	xuzhou	PROPN
fcis-29349	3	17	,	,	PUNCT
fcis-29349	3	18	jiangsu	jiangsu	PROPN
fcis-29349	3	19	,	,	PUNCT
fcis-29349	3	20	china	china	PROPN
fcis-29349	3	21	*	*	PUNCT
fcis-29349	3	22	corresponding	correspond	VERB
fcis-29349	3	23	author	author	NOUN
fcis-29349	3	24	:	:	PUNCT
fcis-29349	3	25	wendong	wendong	PROPN
fcis-29349	3	26	wu	wu	PROPN
fcis-29349	3	27	(	(	PUNCT
fcis-29349	3	28	email	email	NOUN
fcis-29349	3	29	:	:	PUNCT
fcis-29349	3	30	jsnuwwd@163.com	jsnuwwd@163.com	X
fcis-29349	3	31	)	)	PUNCT
fcis-29349	3	32	abstract	abstract	NOUN
fcis-29349	3	33	:	:	PUNCT
fcis-29349	3	34	in	in	ADP
fcis-29349	3	35	this	this	DET
fcis-29349	3	36	paper	paper	NOUN
fcis-29349	3	37	,	,	PUNCT
fcis-29349	3	38	a	a	DET
fcis-29349	3	39	comprehensive	comprehensive	ADJ
fcis-29349	3	40	scheme	scheme	NOUN
fcis-29349	3	41	for	for	ADP
fcis-29349	3	42	underwater	underwater	ADJ
fcis-29349	3	43	image	image	NOUN
fcis-29349	3	44	processing	processing	NOUN
fcis-29349	3	45	is	be	AUX
fcis-29349	3	46	proposed	propose	VERB
fcis-29349	3	47	based	base	VERB
fcis-29349	3	48	on	on	ADP
fcis-29349	3	49	the	the	DET
fcis-29349	3	50	grayscale	grayscale	NOUN
fcis-29349	3	51	world	world	NOUN
fcis-29349	3	52	algorithm	algorithm	NOUN
fcis-29349	3	53	and	and	CCONJ
fcis-29349	3	54	the	the	DET
fcis-29349	3	55	jaffe	jaffe	PROPN
fcis-29349	3	56	-	-	PUNCT
fcis-29349	3	57	mcglamery	mcglamery	PROPN
fcis-29349	3	58	model	model	NOUN
fcis-29349	3	59	.	.	PUNCT
fcis-29349	4	1	firstly	firstly	ADV
fcis-29349	4	2	,	,	PUNCT
fcis-29349	4	3	a	a	DET
fcis-29349	4	4	color	color	NOUN
fcis-29349	4	5	bias	bias	NOUN
fcis-29349	4	6	detection	detection	NOUN
fcis-29349	4	7	based	base	VERB
fcis-29349	4	8	on	on	ADP
fcis-29349	4	9	grayscale	grayscale	NOUN
fcis-29349	4	10	world	world	PROPN
fcis-29349	4	11	theory	theory	NOUN
fcis-29349	4	12	,	,	PUNCT
fcis-29349	4	13	a	a	DET
fcis-29349	4	14	low	low	ADJ
fcis-29349	4	15	light	light	ADJ
fcis-29349	4	16	detection	detection	NOUN
fcis-29349	4	17	based	base	VERB
fcis-29349	4	18	on	on	ADP
fcis-29349	4	19	hsv	hsv	PROPN
fcis-29349	4	20	color	color	NOUN
fcis-29349	4	21	space	space	NOUN
fcis-29349	4	22	,	,	PUNCT
fcis-29349	4	23	and	and	CCONJ
fcis-29349	4	24	a	a	DET
fcis-29349	4	25	fuzzy	fuzzy	ADJ
fcis-29349	4	26	detection	detection	NOUN
fcis-29349	4	27	method	method	NOUN
fcis-29349	4	28	based	base	VERB
fcis-29349	4	29	on	on	ADP
fcis-29349	4	30	frequency	frequency	NOUN
fcis-29349	4	31	domain	domain	NOUN
fcis-29349	4	32	and	and	CCONJ
fcis-29349	4	33	laplace	laplace	NOUN
fcis-29349	4	34	operator	operator	NOUN
fcis-29349	4	35	are	be	AUX
fcis-29349	4	36	designed	design	VERB
fcis-29349	4	37	to	to	PART
fcis-29349	4	38	classify	classify	VERB
fcis-29349	4	39	different	different	ADJ
fcis-29349	4	40	types	type	NOUN
fcis-29349	4	41	of	of	ADP
fcis-29349	4	42	image	image	NOUN
fcis-29349	4	43	degradation	degradation	NOUN
fcis-29349	4	44	.	.	PUNCT
fcis-29349	5	1	subsequently	subsequently	ADV
fcis-29349	5	2	,	,	PUNCT
fcis-29349	5	3	the	the	DET
fcis-29349	5	4	corresponding	corresponding	ADJ
fcis-29349	5	5	scene	scene	NOUN
fcis-29349	5	6	degradation	degradation	NOUN
fcis-29349	5	7	models	model	NOUN
fcis-29349	5	8	are	be	AUX
fcis-29349	5	9	constructed	construct	VERB
fcis-29349	5	10	for	for	ADP
fcis-29349	5	11	different	different	ADJ
fcis-29349	5	12	degradation	degradation	NOUN
fcis-29349	5	13	types	type	NOUN
fcis-29349	5	14	through	through	ADP
fcis-29349	5	15	the	the	DET
fcis-29349	5	16	simplified	simplified	ADJ
fcis-29349	5	17	jaffe	jaffe	PROPN
fcis-29349	5	18	-	-	PUNCT
fcis-29349	5	19	mcglamery	mcglamery	PROPN
fcis-29349	5	20	model	model	NOUN
fcis-29349	5	21	,	,	PUNCT
fcis-29349	5	22	and	and	CCONJ
fcis-29349	5	23	the	the	DET
fcis-29349	5	24	image	image	NOUN
fcis-29349	5	25	features	feature	VERB
fcis-29349	5	26	under	under	ADP
fcis-29349	5	27	different	different	ADJ
fcis-29349	5	28	water	water	NOUN
fcis-29349	5	29	conditions	condition	NOUN
fcis-29349	5	30	are	be	AUX
fcis-29349	5	31	analyzed	analyze	VERB
fcis-29349	5	32	.	.	PUNCT
fcis-29349	6	1	next	next	ADV
fcis-29349	6	2	,	,	PUNCT
fcis-29349	6	3	an	an	DET
fcis-29349	6	4	improved	improved	ADJ
fcis-29349	6	5	gray	gray	ADJ
fcis-29349	6	6	world	world	NOUN
fcis-29349	6	7	algorithm	algorithm	NOUN
fcis-29349	6	8	is	be	AUX
fcis-29349	6	9	used	use	VERB
fcis-29349	6	10	to	to	PART
fcis-29349	6	11	eliminate	eliminate	VERB
fcis-29349	6	12	color	color	NOUN
fcis-29349	6	13	bias	bias	NOUN
fcis-29349	6	14	,	,	PUNCT
fcis-29349	6	15	the	the	DET
fcis-29349	6	16	limiting	limiting	NOUN
fcis-29349	6	17	contrast	contrast	VERB
fcis-29349	6	18	adaptive	adaptive	ADJ
fcis-29349	6	19	histogram	histogram	NOUN
fcis-29349	6	20	equalization	equalization	NOUN
fcis-29349	6	21	(	(	PUNCT
fcis-29349	6	22	clahe	clahe	NOUN
fcis-29349	6	23	)	)	PUNCT
fcis-29349	6	24	technique	technique	NOUN
fcis-29349	6	25	is	be	AUX
fcis-29349	6	26	utilized	utilize	VERB
fcis-29349	6	27	to	to	PART
fcis-29349	6	28	improve	improve	VERB
fcis-29349	6	29	the	the	DET
fcis-29349	6	30	image	image	NOUN
fcis-29349	6	31	quality	quality	NOUN
fcis-29349	6	32	under	under	ADP
fcis-29349	6	33	low	low	ADJ
fcis-29349	6	34	-	-	PUNCT
fcis-29349	6	35	light	light	NOUN
fcis-29349	6	36	conditions	condition	NOUN
fcis-29349	6	37	,	,	PUNCT
fcis-29349	6	38	and	and	CCONJ
fcis-29349	6	39	the	the	DET
fcis-29349	6	40	darkchannel	darkchannel	NOUN
fcis-29349	6	41	a	a	DET
fcis-29349	6	42	priori	priori	ADJ
fcis-29349	6	43	algorithm	algorithm	NOUN
fcis-29349	6	44	is	be	AUX
fcis-29349	6	45	optimized	optimize	VERB
fcis-29349	6	46	by	by	ADP
fcis-29349	6	47	the	the	DET
fcis-29349	6	48	depth	depth	NOUN
fcis-29349	6	49	estimation	estimation	NOUN
fcis-29349	6	50	and	and	CCONJ
fcis-29349	6	51	parameter	parameter	NOUN
fcis-29349	6	52	adaptation	adaptation	NOUN
fcis-29349	6	53	modules	module	NOUN
fcis-29349	6	54	to	to	PART
fcis-29349	6	55	remove	remove	VERB
fcis-29349	6	56	blurring	blur	VERB
fcis-29349	6	57	.	.	PUNCT
fcis-29349	7	1	the	the	DET
fcis-29349	7	2	proposed	propose	VERB
fcis-29349	7	3	method	method	NOUN
fcis-29349	7	4	in	in	ADP
fcis-29349	7	5	this	this	DET
fcis-29349	7	6	study	study	NOUN
fcis-29349	7	7	significantly	significantly	ADV
fcis-29349	7	8	improves	improve	VERB
fcis-29349	7	9	the	the	DET
fcis-29349	7	10	image	image	NOUN
fcis-29349	7	11	quality	quality	NOUN
fcis-29349	7	12	in	in	ADP
fcis-29349	7	13	different	different	ADJ
fcis-29349	7	14	scenarios	scenario	NOUN
fcis-29349	7	15	and	and	CCONJ
fcis-29349	7	16	provides	provide	VERB
fcis-29349	7	17	a	a	DET
fcis-29349	7	18	new	new	ADJ
fcis-29349	7	19	idea	idea	NOUN
fcis-29349	7	20	for	for	ADP
fcis-29349	7	21	underwater	underwater	ADJ
fcis-29349	7	22	image	image	NOUN
fcis-29349	7	23	processing	processing	NOUN
fcis-29349	7	24	.	.	PUNCT
fcis-29349	8	1	keywords	keyword	NOUN
fcis-29349	8	2	:	:	PUNCT
fcis-29349	8	3	underwater	underwater	ADJ
fcis-29349	8	4	image	image	NOUN
fcis-29349	8	5	processing	processing	NOUN
fcis-29349	8	6	;	;	PUNCT
fcis-29349	8	7	gray	gray	ADJ
fcis-29349	8	8	-	-	PUNCT
fcis-29349	8	9	world	world	NOUN
fcis-29349	8	10	algorithm	algorithm	NOUN
fcis-29349	8	11	;	;	PUNCT
fcis-29349	8	12	jaffe	jaffe	PROPN
fcis-29349	8	13	-	-	PUNCT
fcis-29349	8	14	mcglamery	mcglamery	PROPN
fcis-29349	8	15	model	model	NOUN
fcis-29349	8	16	;	;	PUNCT
fcis-29349	8	17	clahe	clahe	NOUN
fcis-29349	8	18	.	.	NOUN
fcis-29349	9	1	1	1	X
fcis-29349	9	2	.	.	X
fcis-29349	9	3	introduction	introduction	NOUN
fcis-29349	9	4	in	in	ADP
fcis-29349	9	5	this	this	DET
fcis-29349	9	6	paper	paper	NOUN
fcis-29349	9	7	,	,	PUNCT
fcis-29349	9	8	we	we	PRON
fcis-29349	9	9	comprehensively	comprehensively	ADV
fcis-29349	9	10	use	use	VERB
fcis-29349	9	11	the	the	DET
fcis-29349	9	12	gray	gray	ADJ
fcis-29349	9	13	-	-	PUNCT
fcis-29349	9	14	scale	scale	NOUN
fcis-29349	9	15	world	world	NOUN
fcis-29349	9	16	algorithm	algorithm	NOUN
fcis-29349	10	1	[	[	X
fcis-29349	10	2	1	1	X
fcis-29349	10	3	]	]	PUNCT
fcis-29349	10	4	and	and	CCONJ
fcis-29349	10	5	jaffe	jaffe	PROPN
fcis-29349	10	6	-	-	PUNCT
fcis-29349	10	7	mcglamery	mcglamery	PROPN
fcis-29349	10	8	model	model	NOUN
fcis-29349	10	9	[	[	X
fcis-29349	10	10	2	2	NUM
fcis-29349	10	11	]	]	PUNCT
fcis-29349	10	12	,	,	PUNCT
fcis-29349	10	13	etc	etc	X
fcis-29349	10	14	.	.	X
fcis-29349	10	15	,	,	PUNCT
fcis-29349	10	16	aiming	aim	VERB
fcis-29349	10	17	to	to	PART
fcis-29349	10	18	cope	cope	VERB
fcis-29349	10	19	with	with	ADP
fcis-29349	10	20	the	the	DET
fcis-29349	10	21	color	color	NOUN
fcis-29349	10	22	deviation	deviation	NOUN
fcis-29349	10	23	,	,	PUNCT
fcis-29349	10	24	low	low	ADJ
fcis-29349	10	25	light	light	NOUN
fcis-29349	10	26	and	and	CCONJ
fcis-29349	10	27	blurring	blurring	NOUN
fcis-29349	10	28	produced	produce	VERB
fcis-29349	10	29	by	by	ADP
fcis-29349	10	30	underwater	underwater	ADJ
fcis-29349	10	31	images	image	NOUN
fcis-29349	10	32	,	,	PUNCT
fcis-29349	10	33	and	and	CCONJ
fcis-29349	10	34	to	to	PART
fcis-29349	10	35	improve	improve	VERB
fcis-29349	10	36	the	the	DET
fcis-29349	10	37	visual	visual	ADJ
fcis-29349	10	38	effect	effect	NOUN
fcis-29349	10	39	and	and	CCONJ
fcis-29349	10	40	information	information	NOUN
fcis-29349	10	41	quality	quality	NOUN
fcis-29349	10	42	of	of	ADP
fcis-29349	10	43	underwater	underwater	ADJ
fcis-29349	10	44	images	image	NOUN
fcis-29349	10	45	[	[	X
fcis-29349	10	46	3	3	NUM
fcis-29349	10	47	]	]	PUNCT
fcis-29349	10	48	.	.	PUNCT
fcis-29349	11	1	first	first	ADV
fcis-29349	11	2	,	,	PUNCT
fcis-29349	11	3	based	base	VERB
fcis-29349	11	4	on	on	ADP
fcis-29349	11	5	the	the	DET
fcis-29349	11	6	gray	gray	ADJ
fcis-29349	11	7	world	world	NOUN
fcis-29349	11	8	theory	theory	NOUN
fcis-29349	11	9	,	,	PUNCT
fcis-29349	11	10	the	the	DET
fcis-29349	11	11	research	research	NOUN
fcis-29349	11	12	designed	design	VERB
fcis-29349	11	13	the	the	DET
fcis-29349	11	14	color	color	NOUN
fcis-29349	11	15	bias	bias	NOUN
fcis-29349	11	16	detection	detection	NOUN
fcis-29349	11	17	algorithm	algorithm	NOUN
fcis-29349	12	1	[	[	X
fcis-29349	12	2	4	4	NUM
fcis-29349	12	3	]	]	PUNCT
fcis-29349	12	4	,	,	PUNCT
fcis-29349	12	5	which	which	PRON
fcis-29349	12	6	accurately	accurately	ADV
fcis-29349	12	7	identifies	identify	VERB
fcis-29349	12	8	the	the	DET
fcis-29349	12	9	color	color	NOUN
fcis-29349	12	10	biased	bias	VERB
fcis-29349	12	11	image	image	NOUN
fcis-29349	12	12	by	by	ADP
fcis-29349	12	13	analyzing	analyze	VERB
fcis-29349	12	14	the	the	DET
fcis-29349	12	15	average	average	ADJ
fcis-29349	12	16	value	value	NOUN
fcis-29349	12	17	of	of	ADP
fcis-29349	12	18	the	the	DET
fcis-29349	12	19	color	color	NOUN
fcis-29349	12	20	channel	channel	NOUN
fcis-29349	12	21	of	of	ADP
fcis-29349	12	22	the	the	DET
fcis-29349	12	23	image	image	NOUN
fcis-29349	12	24	.	.	PUNCT
fcis-29349	13	1	secondly	secondly	ADV
fcis-29349	13	2	,	,	PUNCT
fcis-29349	13	3	a	a	DET
fcis-29349	13	4	simplified	simplified	ADJ
fcis-29349	13	5	jaffemcglamery	jaffemcglamery	NOUN
fcis-29349	13	6	model	model	NOUN
fcis-29349	13	7	was	be	AUX
fcis-29349	13	8	used	use	VERB
fcis-29349	13	9	to	to	PART
fcis-29349	13	10	construct	construct	VERB
fcis-29349	13	11	a	a	DET
fcis-29349	13	12	processing	processing	NOUN
fcis-29349	13	13	model	model	NOUN
fcis-29349	13	14	for	for	ADP
fcis-29349	13	15	low	low	ADJ
fcis-29349	13	16	-	-	PUNCT
fcis-29349	13	17	light	light	NOUN
fcis-29349	13	18	and	and	CCONJ
fcis-29349	13	19	blurred	blurred	ADJ
fcis-29349	13	20	images	image	NOUN
fcis-29349	13	21	,	,	PUNCT
fcis-29349	13	22	and	and	CCONJ
fcis-29349	13	23	the	the	DET
fcis-29349	13	24	image	image	NOUN
fcis-29349	13	25	degradation	degradation	NOUN
fcis-29349	13	26	characteristics	characteristic	NOUN
fcis-29349	13	27	in	in	ADP
fcis-29349	13	28	different	different	ADJ
fcis-29349	13	29	scenes	scene	NOUN
fcis-29349	13	30	were	be	AUX
fcis-29349	13	31	studied	study	VERB
fcis-29349	13	32	.	.	PUNCT
fcis-29349	14	1	in	in	ADP
fcis-29349	14	2	addition	addition	NOUN
fcis-29349	14	3	,	,	PUNCT
fcis-29349	14	4	the	the	DET
fcis-29349	14	5	constrained	constrained	ADJ
fcis-29349	14	6	contrast	contrast	NOUN
fcis-29349	14	7	adaptive	adaptive	ADJ
fcis-29349	14	8	histogram	histogram	NOUN
fcis-29349	14	9	equalization	equalization	NOUN
fcis-29349	14	10	(	(	PUNCT
fcis-29349	14	11	clahe	clahe	NOUN
fcis-29349	14	12	)	)	PUNCT
fcis-29349	14	13	algorithm	algorithm	NOUN
fcis-29349	15	1	[	[	X
fcis-29349	15	2	5	5	NUM
fcis-29349	15	3	]	]	PUNCT
fcis-29349	15	4	is	be	AUX
fcis-29349	15	5	used	use	VERB
fcis-29349	15	6	to	to	PART
fcis-29349	15	7	improve	improve	VERB
fcis-29349	15	8	the	the	DET
fcis-29349	15	9	low	low	ADJ
fcis-29349	15	10	-	-	PUNCT
fcis-29349	15	11	light	light	NOUN
fcis-29349	15	12	images	image	NOUN
fcis-29349	15	13	,	,	PUNCT
fcis-29349	15	14	and	and	CCONJ
fcis-29349	15	15	the	the	DET
fcis-29349	15	16	dark	dark	ADJ
fcis-29349	15	17	-	-	PUNCT
fcis-29349	15	18	channel	channel	NOUN
fcis-29349	15	19	a	a	DET
fcis-29349	15	20	priori	priori	ADJ
fcis-29349	15	21	algorithm	algorithm	NOUN
fcis-29349	15	22	is	be	AUX
fcis-29349	15	23	optimized	optimize	VERB
fcis-29349	15	24	by	by	ADP
fcis-29349	15	25	combining	combine	VERB
fcis-29349	15	26	the	the	DET
fcis-29349	15	27	depth	depth	NOUN
fcis-29349	15	28	estimation	estimation	NOUN
fcis-29349	15	29	and	and	CCONJ
fcis-29349	15	30	parameter	parameter	NOUN
fcis-29349	15	31	adaptive	adaptive	ADJ
fcis-29349	15	32	modules	module	NOUN
fcis-29349	16	1	[	[	X
fcis-29349	16	2	6	6	NUM
fcis-29349	16	3	]	]	PUNCT
fcis-29349	16	4	to	to	PART
fcis-29349	16	5	remove	remove	VERB
fcis-29349	16	6	the	the	DET
fcis-29349	16	7	blur	blur	NOUN
fcis-29349	16	8	effectively	effectively	ADV
fcis-29349	16	9	.	.	PUNCT
fcis-29349	17	1	finally	finally	ADV
fcis-29349	17	2	,	,	PUNCT
fcis-29349	17	3	the	the	DET
fcis-29349	17	4	effects	effect	NOUN
fcis-29349	17	5	of	of	ADP
fcis-29349	17	6	different	different	ADJ
fcis-29349	17	7	algorithms	algorithm	NOUN
fcis-29349	17	8	in	in	ADP
fcis-29349	17	9	specific	specific	ADJ
fcis-29349	17	10	scenes	scene	NOUN
fcis-29349	17	11	are	be	AUX
fcis-29349	17	12	evaluated	evaluate	VERB
fcis-29349	17	13	by	by	ADP
fcis-29349	17	14	comparing	compare	VERB
fcis-29349	17	15	the	the	DET
fcis-29349	17	16	traditional	traditional	ADJ
fcis-29349	17	17	physical	physical	ADJ
fcis-29349	17	18	inversion	inversion	NOUN
fcis-29349	17	19	enhancement	enhancement	NOUN
fcis-29349	17	20	model	model	NOUN
fcis-29349	17	21	with	with	ADP
fcis-29349	17	22	the	the	DET
fcis-29349	17	23	optimized	optimize	VERB
fcis-29349	17	24	mlle	mlle	NOUN
fcis-29349	17	25	model	model	NOUN
fcis-29349	17	26	.	.	PUNCT
fcis-29349	18	1	2	2	X
fcis-29349	18	2	.	.	X
fcis-29349	18	3	underwater	underwater	ADJ
fcis-29349	18	4	image	image	NOUN
fcis-29349	18	5	classification	classification	NOUN
fcis-29349	18	6	and	and	CCONJ
fcis-29349	18	7	multi	multi	ADJ
fcis-29349	18	8	-	-	NOUN
fcis-29349	18	9	perspective	perspective	ADJ
fcis-29349	18	10	analysis	analysis	NOUN
fcis-29349	18	11	in	in	ADP
fcis-29349	18	12	this	this	DET
fcis-29349	18	13	section	section	NOUN
fcis-29349	18	14	,	,	PUNCT
fcis-29349	18	15	different	different	ADJ
fcis-29349	18	16	methods	method	NOUN
fcis-29349	18	17	are	be	AUX
fcis-29349	18	18	used	use	VERB
fcis-29349	18	19	for	for	ADP
fcis-29349	18	20	statistical	statistical	ADJ
fcis-29349	18	21	analysis	analysis	NOUN
fcis-29349	18	22	and	and	CCONJ
fcis-29349	18	23	the	the	DET
fcis-29349	18	24	images	image	NOUN
fcis-29349	18	25	are	be	AUX
fcis-29349	18	26	classified	classify	VERB
fcis-29349	18	27	into	into	ADP
fcis-29349	18	28	different	different	ADJ
fcis-29349	18	29	degradation	degradation	NOUN
fcis-29349	18	30	types	type	NOUN
fcis-29349	18	31	including	include	VERB
fcis-29349	18	32	color	color	NOUN
fcis-29349	18	33	-	-	PUNCT
fcis-29349	18	34	biased	biased	ADJ
fcis-29349	18	35	,	,	PUNCT
fcis-29349	18	36	low	low	ADJ
fcis-29349	18	37	light	light	NOUN
fcis-29349	18	38	and	and	CCONJ
fcis-29349	18	39	blurred	blur	VERB
fcis-29349	18	40	.	.	PUNCT
fcis-29349	19	1	for	for	ADP
fcis-29349	19	2	this	this	DET
fcis-29349	19	3	purpose	purpose	NOUN
fcis-29349	19	4	,	,	PUNCT
fcis-29349	19	5	in	in	ADP
fcis-29349	19	6	order	order	NOUN
fcis-29349	19	7	to	to	PART
fcis-29349	19	8	distinguish	distinguish	VERB
fcis-29349	19	9	the	the	DET
fcis-29349	19	10	colorbiased	colorbiase	VERB
fcis-29349	19	11	images	image	NOUN
fcis-29349	19	12	,	,	PUNCT
fcis-29349	19	13	the	the	DET
fcis-29349	19	14	gray	gray	ADJ
fcis-29349	19	15	world	world	NOUN
fcis-29349	19	16	theory	theory	NOUN
fcis-29349	19	17	is	be	AUX
fcis-29349	19	18	used	use	VERB
fcis-29349	19	19	to	to	PART
fcis-29349	19	20	calculate	calculate	VERB
fcis-29349	19	21	the	the	DET
fcis-29349	19	22	average	average	ADJ
fcis-29349	19	23	value	value	NOUN
fcis-29349	19	24	of	of	ADP
fcis-29349	19	25	the	the	DET
fcis-29349	19	26	red	red	ADJ
fcis-29349	19	27	,	,	PUNCT
fcis-29349	19	28	green	green	ADJ
fcis-29349	19	29	,	,	PUNCT
fcis-29349	19	30	and	and	CCONJ
fcis-29349	19	31	blue	blue	ADJ
fcis-29349	19	32	channels	channel	NOUN
fcis-29349	19	33	of	of	ADP
fcis-29349	19	34	each	each	DET
fcis-29349	19	35	image	image	NOUN
fcis-29349	19	36	.	.	PUNCT
fcis-29349	20	1	(	(	PUNCT
fcis-29349	20	2	1	1	X
fcis-29349	20	3	)	)	PUNCT
fcis-29349	20	4	for	for	ADP
fcis-29349	20	5	normal	normal	ADJ
fcis-29349	20	6	images	image	NOUN
fcis-29349	20	7	,	,	PUNCT
fcis-29349	20	8	the	the	DET
fcis-29349	20	9	average	average	ADJ
fcis-29349	20	10	values	value	NOUN
fcis-29349	20	11	of	of	ADP
fcis-29349	20	12	the	the	DET
fcis-29349	20	13	three	three	NUM
fcis-29349	20	14	parts	part	NOUN
fcis-29349	20	15	do	do	AUX
fcis-29349	20	16	not	not	PART
fcis-29349	20	17	differ	differ	VERB
fcis-29349	20	18	much	much	ADJ
fcis-29349	20	19	.	.	PUNCT
fcis-29349	21	1	(	(	PUNCT
fcis-29349	21	2	2	2	X
fcis-29349	21	3	)	)	PUNCT
fcis-29349	21	4	for	for	ADP
fcis-29349	21	5	color	color	NOUN
fcis-29349	21	6	-	-	PUNCT
fcis-29349	21	7	biased	bias	VERB
fcis-29349	21	8	images	image	NOUN
fcis-29349	21	9	,	,	PUNCT
fcis-29349	21	10	there	there	PRON
fcis-29349	21	11	will	will	AUX
fcis-29349	21	12	be	be	AUX
fcis-29349	21	13	an	an	DET
fcis-29349	21	14	abnormality	abnormality	NOUN
fcis-29349	21	15	in	in	ADP
fcis-29349	21	16	the	the	DET
fcis-29349	21	17	average	average	ADJ
fcis-29349	21	18	value	value	NOUN
fcis-29349	21	19	of	of	ADP
fcis-29349	21	20	a	a	DET
fcis-29349	21	21	certain	certain	ADJ
fcis-29349	21	22	channel	channel	NOUN
fcis-29349	21	23	,	,	PUNCT
fcis-29349	21	24	and	and	CCONJ
fcis-29349	21	25	the	the	DET
fcis-29349	21	26	study	study	NOUN
fcis-29349	21	27	determines	determine	VERB
fcis-29349	21	28	whether	whether	SCONJ
fcis-29349	21	29	the	the	DET
fcis-29349	21	30	image	image	NOUN
fcis-29349	21	31	is	be	AUX
fcis-29349	21	32	a	a	DET
fcis-29349	21	33	color	color	NOUN
fcis-29349	21	34	-	-	PUNCT
fcis-29349	21	35	biased	bias	VERB
fcis-29349	21	36	image	image	NOUN
fcis-29349	21	37	by	by	ADP
fcis-29349	21	38	finding	find	VERB
fcis-29349	21	39	this	this	DET
fcis-29349	21	40	abnormality	abnormality	NOUN
fcis-29349	21	41	.	.	PUNCT
fcis-29349	22	1	(	(	PUNCT
fcis-29349	22	2	3	3	X
fcis-29349	22	3	)	)	PUNCT
fcis-29349	22	4	for	for	ADP
fcis-29349	22	5	the	the	DET
fcis-29349	22	6	detection	detection	NOUN
fcis-29349	22	7	of	of	ADP
fcis-29349	22	8	low	low	ADJ
fcis-29349	22	9	-	-	PUNCT
fcis-29349	22	10	light	light	NOUN
fcis-29349	22	11	images	image	NOUN
fcis-29349	22	12	,	,	PUNCT
fcis-29349	22	13	a	a	DET
fcis-29349	22	14	multi	multi	ADJ
fcis-29349	22	15	-	-	ADJ
fcis-29349	22	16	feature	feature	ADJ
fcis-29349	22	17	fusion	fusion	NOUN
fcis-29349	22	18	detection	detection	NOUN
fcis-29349	22	19	algorithm	algorithm	NOUN
fcis-29349	22	20	is	be	AUX
fcis-29349	22	21	used	use	VERB
fcis-29349	22	22	to	to	PART
fcis-29349	22	23	comprehensively	comprehensively	ADV
fcis-29349	22	24	recognize	recognize	VERB
fcis-29349	22	25	low	low	ADJ
fcis-29349	22	26	-	-	PUNCT
fcis-29349	22	27	light	light	NOUN
fcis-29349	22	28	images	image	NOUN
fcis-29349	22	29	by	by	ADP
fcis-29349	22	30	extracting	extract	VERB
fcis-29349	22	31	image	image	NOUN
fcis-29349	22	32	features	feature	NOUN
fcis-29349	22	33	,	,	PUNCT
fcis-29349	22	34	brightness	brightness	NOUN
fcis-29349	22	35	,	,	PUNCT
fcis-29349	22	36	dark	dark	ADJ
fcis-29349	22	37	pixel	pixel	PROPN
fcis-29349	22	38	ratio	ratio	NOUN
fcis-29349	22	39	and	and	CCONJ
fcis-29349	22	40	contrast	contrast	NOUN
fcis-29349	22	41	.	.	PUNCT
fcis-29349	23	1	(	(	PUNCT
fcis-29349	23	2	4	4	NUM
fcis-29349	23	3	)	)	PUNCT
fcis-29349	23	4	compared	compare	VERB
fcis-29349	23	5	with	with	ADP
fcis-29349	23	6	some	some	DET
fcis-29349	23	7	drawbacks	drawback	NOUN
fcis-29349	23	8	of	of	ADP
fcis-29349	23	9	general	general	ADJ
fcis-29349	23	10	laplace	laplace	NOUN
fcis-29349	23	11	fuzzy	fuzzy	ADJ
fcis-29349	23	12	detection	detection	NOUN
fcis-29349	23	13	,	,	PUNCT
fcis-29349	23	14	this	this	DET
fcis-29349	23	15	section	section	NOUN
fcis-29349	23	16	adopts	adopt	VERB
fcis-29349	23	17	laplace	laplace	NOUN
fcis-29349	23	18	and	and	CCONJ
fcis-29349	23	19	fourier	fourier	NOUN
fcis-29349	23	20	weighted	weight	VERB
fcis-29349	23	21	score	score	NOUN
fcis-29349	23	22	discrimination	discrimination	NOUN
fcis-29349	23	23	method	method	NOUN
fcis-29349	23	24	,	,	PUNCT
fcis-29349	23	25	which	which	PRON
fcis-29349	23	26	has	have	VERB
fcis-29349	23	27	an	an	DET
fcis-29349	23	28	intuitive	intuitive	ADJ
fcis-29349	23	29	computational	computational	ADJ
fcis-29349	23	30	process	process	NOUN
fcis-29349	23	31	,	,	PUNCT
fcis-29349	23	32	can	can	AUX
fcis-29349	23	33	reflect	reflect	VERB
fcis-29349	23	34	global	global	ADJ
fcis-29349	23	35	and	and	CCONJ
fcis-29349	23	36	local	local	ADJ
fcis-29349	23	37	features	feature	NOUN
fcis-29349	23	38	,	,	PUNCT
fcis-29349	23	39	and	and	CCONJ
fcis-29349	23	40	is	be	AUX
fcis-29349	23	41	more	more	ADV
fcis-29349	23	42	superior	superior	ADJ
fcis-29349	23	43	to	to	ADP
fcis-29349	23	44	the	the	DET
fcis-29349	23	45	fuzzy	fuzzy	ADJ
fcis-29349	23	46	detection	detection	NOUN
fcis-29349	23	47	effect	effect	NOUN
fcis-29349	23	48	.	.	PUNCT
fcis-29349	24	1	2.1	2.1	NUM
fcis-29349	24	2	.	.	PUNCT
fcis-29349	24	3	grayscale	grayscale	NOUN
fcis-29349	24	4	world	world	PROPN
fcis-29349	24	5	algorithm	algorithm	PROPN
fcis-29349	24	6	the	the	DET
fcis-29349	24	7	grayscale	grayscale	PROPN
fcis-29349	24	8	world	world	NOUN
fcis-29349	24	9	algorithm	algorithm	PROPN
fcis-29349	24	10	assumes	assume	VERB
fcis-29349	24	11	that	that	SCONJ
fcis-29349	24	12	the	the	DET
fcis-29349	24	13	average	average	ADJ
fcis-29349	24	14	value	value	NOUN
fcis-29349	24	15	of	of	ADP
fcis-29349	24	16	the	the	DET
fcis-29349	24	17	three	three	NUM
fcis-29349	24	18	rgb	rgb	PROPN
fcis-29349	24	19	components	component	NOUN
fcis-29349	24	20	of	of	ADP
fcis-29349	24	21	a	a	DET
fcis-29349	24	22	natural	natural	ADJ
fcis-29349	24	23	image	image	NOUN
fcis-29349	24	24	is	be	AUX
fcis-29349	24	25	approximate	approximate	ADJ
fcis-29349	24	26	.	.	PUNCT
fcis-29349	25	1	three	three	NUM
fcis-29349	25	2	-	-	PUNCT
fcis-29349	25	3	channel	channel	NOUN
fcis-29349	25	4	average	average	ADJ
fcis-29349	25	5	calculation	calculation	NOUN
fcis-29349	25	6	:	:	PUNCT
fcis-29349	25	7	∑	∑	ADP
fcis-29349	25	8	∑	∑	INTJ
fcis-29349	25	9	,	,	PUNCT
fcis-29349	25	10	∑	∑	ADP
fcis-29349	25	11	∑	∑	ADV
fcis-29349	25	12	,	,	PUNCT
fcis-29349	25	13	∑	∑	ADP
fcis-29349	25	14	∑	∑	INTJ
fcis-29349	25	15	,	,	PUNCT
fcis-29349	25	16	(	(	PUNCT
fcis-29349	25	17	1	1	X
fcis-29349	25	18	)	)	PUNCT
fcis-29349	25	19	the	the	DET
fcis-29349	25	20	standard	standard	ADJ
fcis-29349	25	21	deviation	deviation	NOUN
fcis-29349	25	22	between	between	ADP
fcis-29349	25	23	the	the	DET
fcis-29349	25	24	three	three	NUM
fcis-29349	25	25	indicators	indicator	NOUN
fcis-29349	25	26	is	be	AUX
fcis-29349	25	27	calculated	calculate	VERB
fcis-29349	25	28	.	.	PUNCT
fcis-29349	26	1	thus	thus	ADV
fcis-29349	26	2	,	,	PUNCT
fcis-29349	26	3	the	the	DET
fcis-29349	26	4	color	color	NOUN
fcis-29349	26	5	shift	shift	NOUN
fcis-29349	26	6	function	function	NOUN
fcis-29349	26	7	is	be	AUX
fcis-29349	26	8	:	:	PUNCT
fcis-29349	26	9	1	1	NUM
fcis-29349	26	10	0	0	NUM
fcis-29349	26	11	(	(	PUNCT
fcis-29349	26	12	2	2	NUM
fcis-29349	26	13	)	)	PUNCT
fcis-29349	26	14	where	where	SCONJ
fcis-29349	26	15	is	be	AUX
fcis-29349	26	16	the	the	DET
fcis-29349	26	17	color	color	NOUN
fcis-29349	26	18	shift	shift	NOUN
fcis-29349	26	19	threshold	threshold	NOUN
fcis-29349	26	20	.	.	PUNCT
fcis-29349	27	1	to	to	PART
fcis-29349	27	2	further	far	ADV
fcis-29349	27	3	classify	classify	VERB
fcis-29349	27	4	the	the	DET
fcis-29349	27	5	degradation	degradation	NOUN
fcis-29349	27	6	types	type	NOUN
fcis-29349	27	7	,	,	PUNCT
fcis-29349	27	8	we	we	PRON
fcis-29349	27	9	calculated	calculate	VERB
fcis-29349	27	10	the	the	DET
fcis-29349	27	11	color	color	NOUN
fcis-29349	27	12	cast	cast	NOUN
fcis-29349	27	13	score	score	NOUN
fcis-29349	27	14	,	,	PUNCT
fcis-29349	27	15	low	low	ADJ
fcis-29349	27	16	light	light	NOUN
fcis-29349	27	17	score	score	NOUN
fcis-29349	27	18	,	,	PUNCT
fcis-29349	27	19	and	and	CCONJ
fcis-29349	27	20	blur	blur	ADJ
fcis-29349	27	21	score	score	NOUN
fcis-29349	27	22	of	of	ADP
fcis-29349	27	23	the	the	DET
fcis-29349	27	24	image	image	NOUN
fcis-29349	27	25	,	,	PUNCT
fcis-29349	27	26	and	and	CCONJ
fcis-29349	27	27	did	do	VERB
fcis-29349	27	28	statistical	statistical	ADJ
fcis-29349	27	29	analysis	analysis	NOUN
fcis-29349	27	30	,	,	PUNCT
fcis-29349	27	31	and	and	CCONJ
fcis-29349	27	32	then	then	ADV
fcis-29349	27	33	further	far	ADV
fcis-29349	27	34	strengthened	strengthen	VERB
fcis-29349	27	35	the	the	DET
fcis-29349	27	36	classification	classification	NOUN
fcis-29349	27	37	through	through	ADP
fcis-29349	27	38	the	the	DET
fcis-29349	27	39	score	score	NOUN
fcis-29349	27	40	.	.	PUNCT
fcis-29349	28	1	this	this	PRON
fcis-29349	28	2	is	be	AUX
fcis-29349	28	3	shown	show	VERB
fcis-29349	28	4	in	in	ADP
fcis-29349	28	5	figure	figure	NOUN
fcis-29349	28	6	1	1	NUM
fcis-29349	28	7	and	and	CCONJ
fcis-29349	28	8	figure	figure	VERB
fcis-29349	28	9	2	2	NUM
fcis-29349	28	10	.	.	PUNCT
fcis-29349	28	11	81	81	NUM
fcis-29349	28	12	figure	figure	NOUN
fcis-29349	28	13	1	1	NUM
fcis-29349	28	14	.	.	PUNCT
fcis-29349	29	1	score	score	NOUN
fcis-29349	29	2	distribution	distribution	NOUN
fcis-29349	29	3	figure	figure	NOUN
fcis-29349	29	4	2	2	NUM
fcis-29349	29	5	.	.	PUNCT
fcis-29349	29	6	type	type	NOUN
fcis-29349	29	7	of	of	ADP
fcis-29349	29	8	demotion	demotion	NOUN
fcis-29349	29	9	2.2	2.2	NUM
fcis-29349	29	10	.	.	PUNCT
fcis-29349	30	1	multi	multi	ADJ
fcis-29349	30	2	-	-	ADJ
fcis-29349	30	3	feature	feature	ADJ
fcis-29349	30	4	fusion	fusion	NOUN
fcis-29349	30	5	detection	detection	NOUN
fcis-29349	30	6	algorithm	algorithm	NOUN
fcis-29349	30	7	brightness	brightness	NOUN
fcis-29349	30	8	characteristics	characteristic	NOUN
fcis-29349	30	9	:	:	PUNCT
fcis-29349	30	10	∑	∑	PUNCT
fcis-29349	30	11	∑	∑	ADV
fcis-29349	30	12	,	,	PUNCT
fcis-29349	30	13	∗	∗	NOUN
fcis-29349	30	14	255	255	NUM
fcis-29349	30	15	(	(	PUNCT
fcis-29349	30	16	3	3	NUM
fcis-29349	30	17	)	)	PUNCT
fcis-29349	30	18	dark	dark	ADJ
fcis-29349	30	19	pixel	pixel	PROPN
fcis-29349	30	20	ratio	ratio	NOUN
fcis-29349	30	21	:	:	PUNCT
fcis-29349	30	22	∑	∑	PUNCT
fcis-29349	30	23	,	,	PUNCT
fcis-29349	30	24	(	(	PUNCT
fcis-29349	30	25	4	4	X
fcis-29349	30	26	)	)	PUNCT
fcis-29349	30	27	contrast	contrast	NOUN
fcis-29349	30	28	characteristics	characteristic	NOUN
fcis-29349	30	29	:	:	PUNCT
fcis-29349	30	30	∑	∑	PUNCT
fcis-29349	30	31	(	(	PUNCT
fcis-29349	30	32	5	5	X
fcis-29349	30	33	)	)	PUNCT
fcis-29349	30	34	marginal	marginal	ADJ
fcis-29349	30	35	features	feature	NOUN
fcis-29349	30	36	:	:	PUNCT
fcis-29349	30	37	(	(	PUNCT
fcis-29349	30	38	6	6	X
fcis-29349	30	39	)	)	PUNCT
fcis-29349	30	40	local	local	ADJ
fcis-29349	30	41	variance	variance	NOUN
fcis-29349	30	42	characteristics	characteristic	NOUN
fcis-29349	30	43	:	:	PUNCT
fcis-29349	30	44	(	(	PUNCT
fcis-29349	30	45	7	7	X
fcis-29349	30	46	)	)	PUNCT
fcis-29349	30	47	total	total	ADJ
fcis-29349	30	48	score	score	NOUN
fcis-29349	30	49	:	:	PUNCT
fcis-29349	30	50	∗	∗	NOUN
fcis-29349	30	51	∗	∗	X
fcis-29349	30	52	1	1	NUM
fcis-29349	30	53	∗	∗	NOUN
fcis-29349	30	54	∗	∗	NOUN
fcis-29349	30	55	∗	∗	NOUN
fcis-29349	30	56	(	(	PUNCT
fcis-29349	30	57	8)	8)	NUM
fcis-29349	30	58	figure	figure	NOUN
fcis-29349	30	59	3	3	NUM
fcis-29349	30	60	shows	show	VERB
fcis-29349	30	61	the	the	DET
fcis-29349	30	62	implementation	implementation	NOUN
fcis-29349	30	63	process	process	NOUN
fcis-29349	30	64	:	:	PUNCT
fcis-29349	30	65	2.3	2.3	NUM
fcis-29349	30	66	.	.	PUNCT
fcis-29349	31	1	spatial	spatial	ADJ
fcis-29349	31	2	domain	domain	NOUN
fcis-29349	31	3	joint	joint	ADJ
fcis-29349	31	4	frequency	frequency	NOUN
fcis-29349	31	5	domain	domain	NOUN
fcis-29349	31	6	dual	dual	ADJ
fcis-29349	31	7	evaluation	evaluation	NOUN
fcis-29349	31	8	laplace	laplace	NOUN
fcis-29349	31	9	analysis	analysis	NOUN
fcis-29349	31	10	:	:	PUNCT
fcis-29349	31	11	0	0	NUM
fcis-29349	32	1	1	1	NUM
fcis-29349	32	2	0	0	NUM
fcis-29349	32	3	1	1	NUM
fcis-29349	32	4	4	4	NUM
fcis-29349	32	5	1	1	NUM
fcis-29349	32	6	0	0	NUM
fcis-29349	32	7	1	1	NUM
fcis-29349	32	8	0	0	NUM
fcis-29349	32	9	(	(	PUNCT
fcis-29349	32	10	9	9	NUM
fcis-29349	32	11	)	)	PUNCT
fcis-29349	32	12	application	application	NOUN
fcis-29349	32	13	laplace	laplace	NOUN
fcis-29349	32	14	:	:	PUNCT
fcis-29349	32	15	∗	∗	NOUN
fcis-29349	32	16	(	(	PUNCT
fcis-29349	32	17	10	10	NUM
fcis-29349	32	18	)	)	PUNCT
fcis-29349	32	19	energy	energy	NOUN
fcis-29349	32	20	ratio	ratio	NOUN
fcis-29349	32	21	calculation	calculation	NOUN
fcis-29349	32	22	:	:	PUNCT
fcis-29349	32	23	high	high	ADJ
fcis-29349	32	24	total	total	ADJ
fcis-29349	32	25	∗	∗	NOUN
fcis-29349	32	26	0.7	0.7	NUM
fcis-29349	32	27	mid	mid	ADJ
fcis-29349	32	28	total	total	ADJ
fcis-29349	32	29	∗	∗	NOUN
fcis-29349	32	30	0.3	0.3	NUM
fcis-29349	32	31	(	(	PUNCT
fcis-29349	32	32	11	11	NUM
fcis-29349	32	33	)	)	PUNCT
fcis-29349	32	34	weighted	weighted	ADJ
fcis-29349	32	35	combination	combination	NOUN
fcis-29349	32	36	:	:	PUNCT
fcis-29349	32	37	∗	∗	NOUN
fcis-29349	32	38	∗	∗	NOUN
fcis-29349	32	39	(	(	PUNCT
fcis-29349	32	40	12	12	NUM
fcis-29349	32	41	)	)	PUNCT
fcis-29349	32	42	82	82	NUM
fcis-29349	32	43	figure	figure	NOUN
fcis-29349	32	44	3	3	NUM
fcis-29349	32	45	.	.	PUNCT
fcis-29349	32	46	testing	testing	NOUN
fcis-29349	32	47	process	process	NOUN
fcis-29349	32	48	analysis	analysis	NOUN
fcis-29349	32	49	3	3	NUM
fcis-29349	32	50	.	.	X
fcis-29349	32	51	underwater	underwater	ADJ
fcis-29349	32	52	image	image	NOUN
fcis-29349	32	53	degradation	degradation	NOUN
fcis-29349	32	54	analysis	analysis	NOUN
fcis-29349	32	55	this	this	DET
fcis-29349	32	56	section	section	NOUN
fcis-29349	32	57	uses	use	VERB
fcis-29349	32	58	the	the	DET
fcis-29349	32	59	jaffe	jaffe	PROPN
fcis-29349	32	60	-	-	PUNCT
fcis-29349	32	61	mcglamery	mcglamery	PROPN
fcis-29349	32	62	model	model	PROPN
fcis-29349	32	63	,	,	PUNCT
fcis-29349	32	64	a	a	DET
fcis-29349	32	65	physical	physical	ADJ
fcis-29349	32	66	property	property	NOUN
fcis-29349	32	67	-	-	PUNCT
fcis-29349	32	68	based	base	VERB
fcis-29349	32	69	degradation	degradation	NOUN
fcis-29349	32	70	model	model	NOUN
fcis-29349	32	71	,	,	PUNCT
fcis-29349	32	72	to	to	PART
fcis-29349	32	73	address	address	VERB
fcis-29349	32	74	underwater	underwater	ADJ
fcis-29349	32	75	image	image	NOUN
fcis-29349	32	76	degradation	degradation	NOUN
fcis-29349	32	77	models	model	NOUN
fcis-29349	32	78	.	.	PUNCT
fcis-29349	33	1	the	the	DET
fcis-29349	33	2	model	model	NOUN
fcis-29349	33	3	represents	represent	VERB
fcis-29349	33	4	the	the	DET
fcis-29349	33	5	image	image	NOUN
fcis-29349	33	6	degradation	degradation	NOUN
fcis-29349	33	7	as	as	ADP
fcis-29349	33	8	a	a	DET
fcis-29349	33	9	combination	combination	NOUN
fcis-29349	33	10	of	of	ADP
fcis-29349	33	11	the	the	DET
fcis-29349	33	12	direct	direct	ADJ
fcis-29349	33	13	component	component	NOUN
fcis-29349	33	14	of	of	ADP
fcis-29349	33	15	light	light	NOUN
fcis-29349	33	16	,	,	PUNCT
fcis-29349	33	17	the	the	DET
fcis-29349	33	18	forward	forward	ADV
fcis-29349	33	19	scattering	scatter	VERB
fcis-29349	33	20	component	component	NOUN
fcis-29349	33	21	and	and	CCONJ
fcis-29349	33	22	the	the	DET
fcis-29349	33	23	backscattering	backscatter	VERB
fcis-29349	33	24	component	component	NOUN
fcis-29349	33	25	:	:	PUNCT
fcis-29349	33	26	∗	∗	NOUN
fcis-29349	33	27	∗	∗	X
fcis-29349	33	28	1	1	NUM
fcis-29349	33	29	(	(	PUNCT
fcis-29349	33	30	13	13	NUM
fcis-29349	33	31	)	)	PUNCT
fcis-29349	33	32	the	the	DET
fcis-29349	33	33	transmittance	transmittance	NOUN
fcis-29349	33	34	of	of	ADP
fcis-29349	33	35	light	light	NOUN
fcis-29349	33	36	is	be	AUX
fcis-29349	33	37	expressed	express	VERB
fcis-29349	33	38	as	as	ADP
fcis-29349	33	39	:	:	PUNCT
fcis-29349	33	40	(	(	PUNCT
fcis-29349	33	41	14	14	NUM
fcis-29349	33	42	)	)	PUNCT
fcis-29349	33	43	for	for	ADP
fcis-29349	33	44	different	different	ADJ
fcis-29349	33	45	scenarios	scenario	NOUN
fcis-29349	33	46	,	,	PUNCT
fcis-29349	33	47	there	there	PRON
fcis-29349	33	48	are	be	VERB
fcis-29349	33	49	several	several	ADJ
fcis-29349	33	50	scenarios	scenario	NOUN
fcis-29349	33	51	as	as	SCONJ
fcis-29349	33	52	follows	follow	VERB
fcis-29349	33	53	.	.	PUNCT
fcis-29349	34	1	3.1	3.1	NUM
fcis-29349	34	2	.	.	PUNCT
fcis-29349	34	3	color	color	NOUN
fcis-29349	34	4	shift	shift	NOUN
fcis-29349	34	5	model	model	NOUN
fcis-29349	34	6	,	,	PUNCT
fcis-29349	34	7	∈	∈	PROPN
fcis-29349	34	8	,	,	PUNCT
fcis-29349	34	9	,	,	PUNCT
fcis-29349	34	10	(	(	PUNCT
fcis-29349	34	11	15	15	NUM
fcis-29349	34	12	)	)	PUNCT
fcis-29349	34	13	,	,	PUNCT
fcis-29349	34	14	∈	∈	PROPN
fcis-29349	34	15	,	,	PUNCT
fcis-29349	34	16	,	,	PUNCT
fcis-29349	34	17	(	(	PUNCT
fcis-29349	34	18	16	16	NUM
fcis-29349	34	19	)	)	PUNCT
fcis-29349	34	20	this	this	PRON
fcis-29349	34	21	is	be	AUX
fcis-29349	34	22	the	the	DET
fcis-29349	34	23	specific	specific	ADJ
fcis-29349	34	24	attenuation	attenuation	NOUN
fcis-29349	34	25	coefficient	coefficient	NOUN
fcis-29349	34	26	for	for	ADP
fcis-29349	34	27	the	the	DET
fcis-29349	34	28	red	red	ADJ
fcis-29349	34	29	,	,	PUNCT
fcis-29349	34	30	green	green	ADJ
fcis-29349	34	31	and	and	CCONJ
fcis-29349	34	32	blue	blue	ADJ
fcis-29349	34	33	channels	channel	NOUN
fcis-29349	34	34	,	,	PUNCT
fcis-29349	34	35	and	and	CCONJ
fcis-29349	34	36	is	be	AUX
fcis-29349	34	37	related	relate	VERB
fcis-29349	34	38	to	to	ADP
fcis-29349	34	39	the	the	DET
fcis-29349	34	40	depth	depth	NOUN
fcis-29349	34	41	.	.	PUNCT
fcis-29349	34	42	0	0	PUNCT
fcis-29349	35	1	(	(	PUNCT
fcis-29349	35	2	17	17	NUM
fcis-29349	35	3	)	)	PUNCT
fcis-29349	35	4	is	be	AUX
fcis-29349	35	5	the	the	DET
fcis-29349	35	6	turbidity	turbidity	NOUN
fcis-29349	35	7	of	of	ADP
fcis-29349	35	8	the	the	DET
fcis-29349	35	9	water	water	NOUN
fcis-29349	35	10	body	body	NOUN
fcis-29349	35	11	.	.	PUNCT
fcis-29349	36	1	3.2	3.2	NUM
fcis-29349	36	2	.	.	PUNCT
fcis-29349	36	3	low	low	ADJ
fcis-29349	36	4	-	-	PUNCT
fcis-29349	36	5	light	light	NOUN
fcis-29349	36	6	models	model	NOUN
fcis-29349	36	7	(	(	PUNCT
fcis-29349	36	8	18	18	NUM
fcis-29349	36	9	)	)	PUNCT
fcis-29349	36	10	∗	∗	NOUN
fcis-29349	36	11	(	(	PUNCT
fcis-29349	36	12	19	19	NUM
fcis-29349	36	13	)	)	PUNCT
fcis-29349	36	14	0	0	NUM
fcis-29349	37	1	∆	∆	PROPN
fcis-29349	37	2	,	,	PUNCT
fcis-29349	37	3	,	,	PUNCT
fcis-29349	37	4	(	(	PUNCT
fcis-29349	37	5	20	20	NUM
fcis-29349	37	6	)	)	PUNCT
fcis-29349	37	7	among	among	ADP
fcis-29349	37	8	them	they	PRON
fcis-29349	37	9	is	be	AUX
fcis-29349	37	10	the	the	DET
fcis-29349	37	11	spatially	spatially	ADV
fcis-29349	37	12	varying	vary	VERB
fcis-29349	37	13	background	background	NOUN
fcis-29349	37	14	light	light	NOUN
fcis-29349	37	15	∆	∆	PROPN
fcis-29349	37	16	,	,	PUNCT
fcis-29349	37	17	,	,	PUNCT
fcis-29349	37	18	:	:	PUNCT
fcis-29349	37	19	∆	∆	PROPN
fcis-29349	37	20	,	,	PUNCT
fcis-29349	37	21	,	,	PUNCT
fcis-29349	37	22	0	0	NUM
fcis-29349	37	23	⋅	⋅	PROPN
fcis-29349	37	24	1	1	NUM
fcis-29349	37	25	⋅	⋅	PROPN
fcis-29349	37	26	,	,	PUNCT
fcis-29349	37	27	(	(	PUNCT
fcis-29349	37	28	21	21	NUM
fcis-29349	37	29	)	)	PUNCT
fcis-29349	37	30	3.3	3.3	NUM
fcis-29349	37	31	.	.	PUNCT
fcis-29349	38	1	fuzzy	fuzzy	ADJ
fcis-29349	38	2	modeling	model	VERB
fcis-29349	38	3	the	the	DET
fcis-29349	38	4	fuzzy	fuzzy	ADJ
fcis-29349	38	5	properties	property	NOUN
fcis-29349	38	6	can	can	AUX
fcis-29349	38	7	be	be	AUX
fcis-29349	38	8	modeled	model	VERB
fcis-29349	38	9	using	use	VERB
fcis-29349	38	10	the	the	DET
fcis-29349	38	11	point	point	NOUN
fcis-29349	38	12	spread	spread	VERB
fcis-29349	38	13	function	function	NOUN
fcis-29349	38	14	psf	psf	NOUN
fcis-29349	38	15	,	,	PUNCT
fcis-29349	38	16	which	which	PRON
fcis-29349	38	17	should	should	AUX
fcis-29349	38	18	be	be	AUX
fcis-29349	38	19	degraded	degrade	VERB
fcis-29349	38	20	as	as	SCONJ
fcis-29349	38	21	follows	follow	VERB
fcis-29349	38	22	:	:	PUNCT
fcis-29349	38	23	,	,	PUNCT
fcis-29349	38	24	,	,	PUNCT
fcis-29349	38	25	⨂	⨂	PROPN
fcis-29349	38	26	,	,	PUNCT
fcis-29349	38	27	,	,	PUNCT
fcis-29349	38	28	(	(	PUNCT
fcis-29349	38	29	22	22	NUM
fcis-29349	38	30	)	)	PUNCT
fcis-29349	38	31	,	,	PUNCT
fcis-29349	38	32	,	,	PUNCT
fcis-29349	38	33	,	,	PUNCT
fcis-29349	38	34	(	(	PUNCT
fcis-29349	38	35	23	23	NUM
fcis-29349	38	36	)	)	PUNCT
fcis-29349	38	37	0	0	NUM
fcis-29349	39	1	(	(	PUNCT
fcis-29349	39	2	24	24	NUM
fcis-29349	39	3	)	)	PUNCT
fcis-29349	39	4	4	4	NUM
fcis-29349	39	5	.	.	X
fcis-29349	39	6	underwater	underwater	ADJ
fcis-29349	39	7	image	image	NOUN
fcis-29349	39	8	enhancement	enhancement	NOUN
fcis-29349	39	9	analysis	analysis	NOUN
fcis-29349	39	10	4.1	4.1	NUM
fcis-29349	39	11	.	.	PUNCT
fcis-29349	40	1	color	color	NOUN
fcis-29349	40	2	bias	bias	NOUN
fcis-29349	40	3	correction	correction	NOUN
fcis-29349	40	4	model	model	NOUN
fcis-29349	40	5	in	in	ADP
fcis-29349	40	6	this	this	DET
fcis-29349	40	7	paper	paper	NOUN
fcis-29349	40	8	,	,	PUNCT
fcis-29349	40	9	we	we	PRON
fcis-29349	40	10	use	use	VERB
fcis-29349	40	11	an	an	DET
fcis-29349	40	12	improved	improved	ADJ
fcis-29349	40	13	grayscale	grayscale	NOUN
fcis-29349	40	14	world	world	NOUN
fcis-29349	40	15	algorithm	algorithm	NOUN
fcis-29349	40	16	with	with	ADP
fcis-29349	40	17	a	a	DET
fcis-29349	40	18	depth	depth	NOUN
fcis-29349	40	19	factor	factor	NOUN
fcis-29349	40	20	to	to	PART
fcis-29349	40	21	add	add	VERB
fcis-29349	40	22	a	a	DET
fcis-29349	40	23	depth	depth	NOUN
fcis-29349	40	24	factor	factor	NOUN
fcis-29349	40	25	to	to	ADP
fcis-29349	40	26	the	the	DET
fcis-29349	40	27	traditional	traditional	ADJ
fcis-29349	40	28	grayscale	grayscale	NOUN
fcis-29349	40	29	world	world	NOUN
fcis-29349	40	30	algorithm	algorithm	NOUN
fcis-29349	40	31	,	,	PUNCT
fcis-29349	40	32	which	which	PRON
fcis-29349	40	33	can	can	AUX
fcis-29349	40	34	better	well	ADV
fcis-29349	40	35	adapt	adapt	VERB
fcis-29349	40	36	to	to	ADP
fcis-29349	40	37	the	the	DET
fcis-29349	40	38	gain	gain	NOUN
fcis-29349	40	39	intensity	intensity	NOUN
fcis-29349	40	40	in	in	ADP
fcis-29349	40	41	different	different	ADJ
fcis-29349	40	42	depth	depth	NOUN
fcis-29349	40	43	environments	environment	NOUN
fcis-29349	40	44	,	,	PUNCT
fcis-29349	40	45	and	and	CCONJ
fcis-29349	40	46	reduce	reduce	VERB
fcis-29349	40	47	the	the	DET
fcis-29349	40	48	problem	problem	NOUN
fcis-29349	40	49	of	of	ADP
fcis-29349	40	50	“	"	PUNCT
fcis-29349	40	51	overcorrection	overcorrection	NOUN
fcis-29349	40	52	”	"	PUNCT
fcis-29349	40	53	,	,	PUNCT
fcis-29349	40	54	which	which	PRON
fcis-29349	40	55	the	the	DET
fcis-29349	40	56	original	original	ADJ
fcis-29349	40	57	algorithm	algorithm	NOUN
fcis-29349	40	58	may	may	AUX
fcis-29349	40	59	over	over	ADP
fcis-29349	40	60	calibrate	calibrate	VERB
fcis-29349	40	61	,	,	PUNCT
fcis-29349	40	62	especially	especially	ADV
fcis-29349	40	63	in	in	ADP
fcis-29349	40	64	the	the	DET
fcis-29349	40	65	dark	dark	ADJ
fcis-29349	40	66	area	area	NOUN
fcis-29349	40	67	.	.	PUNCT
fcis-29349	41	1	by	by	ADP
fcis-29349	41	2	introducing	introduce	VERB
fcis-29349	41	3	the	the	DET
fcis-29349	41	4	depth	depth	NOUN
fcis-29349	41	5	factor	factor	NOUN
fcis-29349	41	6	,	,	PUNCT
fcis-29349	41	7	the	the	DET
fcis-29349	41	8	calibration	calibration	NOUN
fcis-29349	41	9	intensity	intensity	NOUN
fcis-29349	41	10	can	can	AUX
fcis-29349	41	11	be	be	AUX
fcis-29349	41	12	adjusted	adjust	VERB
fcis-29349	41	13	according	accord	VERB
fcis-29349	41	14	to	to	ADP
fcis-29349	41	15	the	the	DET
fcis-29349	41	16	depth	depth	NOUN
fcis-29349	41	17	of	of	ADP
fcis-29349	41	18	the	the	DET
fcis-29349	41	19	scene	scene	NOUN
fcis-29349	41	20	,	,	PUNCT
fcis-29349	41	21	avoiding	avoid	VERB
fcis-29349	41	22	the	the	DET
fcis-29349	41	23	image	image	NOUN
fcis-29349	41	24	distortion	distortion	NOUN
fcis-29349	41	25	caused	cause	VERB
fcis-29349	41	26	by	by	ADP
fcis-29349	41	27	over	over	ADP
fcis-29349	41	28	-	-	PUNCT
fcis-29349	41	29	calibration	calibration	NOUN
fcis-29349	41	30	.	.	PUNCT
fcis-29349	42	1	4.2	4.2	NUM
fcis-29349	42	2	.	.	PUNCT
fcis-29349	43	1	low	low	ADJ
fcis-29349	43	2	light	light	ADJ
fcis-29349	43	3	enhancement	enhancement	NOUN
fcis-29349	43	4	model	model	NOUN
fcis-29349	43	5	the	the	DET
fcis-29349	43	6	clahe	clahe	PROPN
fcis-29349	43	7	algorithm	algorithm	NOUN
fcis-29349	43	8	is	be	AUX
fcis-29349	43	9	mathematically	mathematically	ADV
fcis-29349	43	10	visualized	visualize	VERB
fcis-29349	43	11	in	in	ADP
fcis-29349	43	12	figure	figure	NOUN
fcis-29349	43	13	4	4	NUM
fcis-29349	43	14	below	below	ADV
fcis-29349	43	15	.	.	PUNCT
fcis-29349	44	1	figure	figure	VERB
fcis-29349	44	2	4	4	NUM
fcis-29349	44	3	.	.	PUNCT
fcis-29349	45	1	clahe	clahe	NOUN
fcis-29349	45	2	visualization	visualization	NOUN
fcis-29349	45	3	83	83	NUM
fcis-29349	45	4	4.3	4.3	NUM
fcis-29349	45	5	.	.	PUNCT
fcis-29349	46	1	defuzz	defuzz	PROPN
fcis-29349	46	2	the	the	DET
fcis-29349	46	3	model	model	NOUN
fcis-29349	46	4	figure	figure	NOUN
fcis-29349	46	5	5	5	NUM
fcis-29349	46	6	.	.	PUNCT
fcis-29349	46	7	comparison	comparison	NOUN
fcis-29349	46	8	of	of	ADP
fcis-29349	46	9	before	before	ADP
fcis-29349	46	10	and	and	CCONJ
fcis-29349	46	11	after	after	ADP
fcis-29349	46	12	removal	removal	NOUN
fcis-29349	46	13	of	of	ADP
fcis-29349	46	14	color	color	NOUN
fcis-29349	46	15	deviation	deviation	NOUN
fcis-29349	46	16	as	as	SCONJ
fcis-29349	46	17	shown	show	VERB
fcis-29349	46	18	in	in	ADP
fcis-29349	46	19	figure	figure	NOUN
fcis-29349	46	20	5	5	NUM
fcis-29349	46	21	,	,	PUNCT
fcis-29349	46	22	after	after	ADP
fcis-29349	46	23	processing	process	VERB
fcis-29349	46	24	the	the	DET
fcis-29349	46	25	image	image	NOUN
fcis-29349	46	26	,	,	PUNCT
fcis-29349	46	27	by	by	ADP
fcis-29349	46	28	comparing	compare	VERB
fcis-29349	46	29	the	the	DET
fcis-29349	46	30	effect	effect	NOUN
fcis-29349	46	31	before	before	ADP
fcis-29349	46	32	and	and	CCONJ
fcis-29349	46	33	after	after	ADP
fcis-29349	46	34	image	image	NOUN
fcis-29349	46	35	enhancement	enhancement	NOUN
fcis-29349	46	36	,	,	PUNCT
fcis-29349	46	37	it	it	PRON
fcis-29349	46	38	can	can	AUX
fcis-29349	46	39	be	be	AUX
fcis-29349	46	40	observed	observe	VERB
fcis-29349	46	41	that	that	SCONJ
fcis-29349	46	42	the	the	DET
fcis-29349	46	43	overall	overall	ADJ
fcis-29349	46	44	brightness	brightness	NOUN
fcis-29349	46	45	of	of	ADP
fcis-29349	46	46	the	the	DET
fcis-29349	46	47	enhanced	enhance	VERB
fcis-29349	46	48	image	image	NOUN
fcis-29349	46	49	is	be	AUX
fcis-29349	46	50	improved	improve	VERB
fcis-29349	46	51	,	,	PUNCT
fcis-29349	46	52	the	the	DET
fcis-29349	46	53	details	detail	NOUN
fcis-29349	46	54	are	be	AUX
fcis-29349	46	55	clearer	clear	ADJ
fcis-29349	46	56	,	,	PUNCT
fcis-29349	46	57	and	and	CCONJ
fcis-29349	46	58	the	the	DET
fcis-29349	46	59	contrast	contrast	NOUN
fcis-29349	46	60	enhancement	enhancement	NOUN
fcis-29349	46	61	makes	make	VERB
fcis-29349	46	62	the	the	DET
fcis-29349	46	63	light	light	ADJ
fcis-29349	46	64	and	and	CCONJ
fcis-29349	46	65	dark	dark	ADJ
fcis-29349	46	66	levels	level	NOUN
fcis-29349	46	67	richer	rich	ADJ
fcis-29349	46	68	,	,	PUNCT
fcis-29349	46	69	the	the	DET
fcis-29349	46	70	colors	color	NOUN
fcis-29349	46	71	are	be	AUX
fcis-29349	46	72	more	more	ADV
fcis-29349	46	73	vivid	vivid	ADJ
fcis-29349	46	74	and	and	CCONJ
fcis-29349	46	75	natural	natural	ADJ
fcis-29349	46	76	,	,	PUNCT
fcis-29349	46	77	and	and	CCONJ
fcis-29349	46	78	the	the	DET
fcis-29349	46	79	color	color	NOUN
fcis-29349	46	80	bias	bias	NOUN
fcis-29349	46	81	problem	problem	NOUN
fcis-29349	46	82	is	be	AUX
fcis-29349	46	83	effectively	effectively	ADV
fcis-29349	46	84	reduced	reduce	VERB
fcis-29349	46	85	.	.	PUNCT
fcis-29349	47	1	in	in	ADP
fcis-29349	47	2	terms	term	NOUN
fcis-29349	47	3	of	of	ADP
fcis-29349	47	4	detail	detail	NOUN
fcis-29349	47	5	processing	processing	NOUN
fcis-29349	47	6	,	,	PUNCT
fcis-29349	47	7	the	the	DET
fcis-29349	47	8	algorithm	algorithm	NOUN
fcis-29349	47	9	successfully	successfully	ADV
fcis-29349	47	10	extracts	extract	VERB
fcis-29349	47	11	the	the	DET
fcis-29349	47	12	detail	detail	NOUN
fcis-29349	47	13	information	information	NOUN
fcis-29349	47	14	of	of	ADP
fcis-29349	47	15	the	the	DET
fcis-29349	47	16	dark	dark	ADJ
fcis-29349	47	17	areas	area	NOUN
fcis-29349	47	18	,	,	PUNCT
fcis-29349	47	19	while	while	SCONJ
fcis-29349	47	20	avoiding	avoid	VERB
fcis-29349	47	21	overexposure	overexposure	NOUN
fcis-29349	47	22	of	of	ADP
fcis-29349	47	23	the	the	DET
fcis-29349	47	24	highlight	highlight	NOUN
fcis-29349	47	25	areas	area	NOUN
fcis-29349	47	26	and	and	CCONJ
fcis-29349	47	27	maintaining	maintain	VERB
fcis-29349	47	28	rich	rich	ADJ
fcis-29349	47	29	texture	texture	ADJ
fcis-29349	47	30	details	detail	NOUN
fcis-29349	47	31	and	and	CCONJ
fcis-29349	47	32	sharp	sharp	ADJ
fcis-29349	47	33	edges	edge	NOUN
fcis-29349	47	34	.	.	PUNCT
fcis-29349	48	1	this	this	DET
fcis-29349	48	2	comparative	comparative	ADJ
fcis-29349	48	3	analysis	analysis	NOUN
fcis-29349	48	4	can	can	AUX
fcis-29349	48	5	not	not	PART
fcis-29349	48	6	only	only	ADV
fcis-29349	48	7	help	help	VERB
fcis-29349	48	8	us	we	PRON
fcis-29349	48	9	evaluate	evaluate	VERB
fcis-29349	48	10	the	the	DET
fcis-29349	48	11	processing	processing	NOUN
fcis-29349	48	12	effect	effect	NOUN
fcis-29349	48	13	of	of	ADP
fcis-29349	48	14	the	the	DET
fcis-29349	48	15	algorithm	algorithm	NOUN
fcis-29349	48	16	,	,	PUNCT
fcis-29349	48	17	but	but	CCONJ
fcis-29349	48	18	also	also	ADV
fcis-29349	48	19	find	find	VERB
fcis-29349	48	20	out	out	ADP
fcis-29349	48	21	whether	whether	SCONJ
fcis-29349	48	22	there	there	PRON
fcis-29349	48	23	are	be	VERB
fcis-29349	48	24	problems	problem	NOUN
fcis-29349	48	25	such	such	ADJ
fcis-29349	48	26	as	as	ADP
fcis-29349	48	27	over	over	ADP
fcis-29349	48	28	-	-	PUNCT
fcis-29349	48	29	enhancement	enhancement	NOUN
fcis-29349	48	30	and	and	CCONJ
fcis-29349	48	31	noise	noise	NOUN
fcis-29349	48	32	amplification	amplification	NOUN
fcis-29349	48	33	,	,	PUNCT
fcis-29349	48	34	as	as	ADV
fcis-29349	48	35	well	well	ADV
fcis-29349	48	36	as	as	ADP
fcis-29349	48	37	the	the	DET
fcis-29349	48	38	adaptability	adaptability	NOUN
fcis-29349	48	39	of	of	ADP
fcis-29349	48	40	the	the	DET
fcis-29349	48	41	algorithm	algorithm	NOUN
fcis-29349	48	42	to	to	ADP
fcis-29349	48	43	different	different	ADJ
fcis-29349	48	44	scenes	scene	NOUN
fcis-29349	48	45	and	and	CCONJ
fcis-29349	48	46	lighting	lighting	NOUN
fcis-29349	48	47	conditions	condition	NOUN
fcis-29349	48	48	.	.	PUNCT
fcis-29349	49	1	calculation	calculation	NOUN
fcis-29349	49	2	formula	formula	NOUN
fcis-29349	49	3	for	for	ADP
fcis-29349	49	4	each	each	DET
fcis-29349	49	5	indicator	indicator	NOUN
fcis-29349	49	6	:	:	PUNCT
fcis-29349	49	7	10	10	NUM
fcis-29349	49	8	∙	∙	PROPN
fcis-29349	49	9	log	log	NOUN
fcis-29349	49	10	(	(	PUNCT
fcis-29349	49	11	25	25	NUM
fcis-29349	49	12	)	)	PUNCT
fcis-29349	49	13	max	max	PROPN
fcis-29349	49	14	is	be	AUX
fcis-29349	49	15	the	the	DET
fcis-29349	49	16	maximum	maximum	ADJ
fcis-29349	49	17	value	value	NOUN
fcis-29349	49	18	of	of	ADP
fcis-29349	49	19	the	the	DET
fcis-29349	49	20	image	image	NOUN
fcis-29349	49	21	pixels	pixel	NOUN
fcis-29349	49	22	,	,	PUNCT
fcis-29349	49	23	and	and	CCONJ
fcis-29349	49	24	mse	mse	NOUN
fcis-29349	49	25	is	be	AUX
fcis-29349	49	26	the	the	DET
fcis-29349	49	27	mean	mean	ADJ
fcis-29349	49	28	square	square	NOUN
fcis-29349	49	29	error	error	NOUN
fcis-29349	49	30	.	.	PUNCT
fcis-29349	50	1	∙	∙	PUNCT
fcis-29349	50	2	∙	∙	PUNCT
fcis-29349	50	3	∙	∙	PROPN
fcis-29349	50	4	(	(	PUNCT
fcis-29349	50	5	26	26	NUM
fcis-29349	50	6	)	)	PUNCT
fcis-29349	50	7	where	where	SCONJ
fcis-29349	50	8	is	be	AUX
fcis-29349	50	9	the	the	DET
fcis-29349	50	10	standard	standard	ADJ
fcis-29349	50	11	deviation	deviation	NOUN
fcis-29349	50	12	of	of	ADP
fcis-29349	50	13	chromaticity	chromaticity	NOUN
fcis-29349	50	14	,	,	PUNCT
fcis-29349	50	15	which	which	PRON
fcis-29349	50	16	is	be	AUX
fcis-29349	50	17	the	the	DET
fcis-29349	50	18	contrast	contrast	NOUN
fcis-29349	50	19	of	of	ADP
fcis-29349	50	20	brightness	brightness	NOUN
fcis-29349	50	21	,	,	PUNCT
fcis-29349	50	22	and	and	CCONJ
fcis-29349	50	23	is	be	AUX
fcis-29349	50	24	the	the	DET
fcis-29349	50	25	average	average	ADJ
fcis-29349	50	26	saturation	saturation	NOUN
fcis-29349	50	27	.	.	PUNCT
fcis-29349	51	1	calculate	calculate	NOUN
fcis-29349	51	2	uiqm	uiqm	ADV
fcis-29349	51	3	:	:	PUNCT
fcis-29349	52	1	∙	∙	PROPN
fcis-29349	52	2	∙	∙	PUNCT
fcis-29349	52	3	∙	∙	X
fcis-29349	52	4	(	(	PUNCT
fcis-29349	52	5	27	27	NUM
fcis-29349	52	6	)	)	PUNCT
fcis-29349	52	7	:	:	PUNCT
fcis-29349	52	8	color	color	NOUN
fcis-29349	52	9	measure	measure	NOUN
fcis-29349	52	10	.	.	PUNCT
fcis-29349	52	11	:	:	PUNCT
fcis-29349	52	12	sharpness	sharpness	ADJ
fcis-29349	52	13	measure	measure	NOUN
fcis-29349	52	14	.	.	PUNCT
fcis-29349	53	1	:	:	PUNCT
fcis-29349	53	2	contrast	contrast	VERB
fcis-29349	53	3	measure	measure	NOUN
fcis-29349	53	4	.	.	PUNCT
fcis-29349	54	1	calculating	calculate	VERB
fcis-29349	54	2	edge	edge	NOUN
fcis-29349	54	3	strength	strength	NOUN
fcis-29349	54	4	(	(	PUNCT
fcis-29349	54	5	ei	ei	NOUN
fcis-29349	54	6	):	):	PUNCT
fcis-29349	54	7	(	(	PUNCT
fcis-29349	54	8	28	28	NUM
fcis-29349	54	9	)	)	PUNCT
fcis-29349	54	10	where	where	SCONJ
fcis-29349	54	11	and	and	CCONJ
fcis-29349	54	12	are	be	AUX
fcis-29349	54	13	the	the	DET
fcis-29349	54	14	gradients	gradient	NOUN
fcis-29349	54	15	of	of	ADP
fcis-29349	54	16	the	the	DET
fcis-29349	54	17	horizontal	horizontal	ADJ
fcis-29349	54	18	and	and	CCONJ
fcis-29349	54	19	vertical	vertical	ADJ
fcis-29349	54	20	directions	direction	NOUN
fcis-29349	54	21	of	of	ADP
fcis-29349	54	22	the	the	DET
fcis-29349	54	23	image	image	NOUN
fcis-29349	54	24	,	,	PUNCT
fcis-29349	54	25	respectively	respectively	ADV
fcis-29349	54	26	.	.	PUNCT
fcis-29349	54	27	table	table	NOUN
fcis-29349	54	28	1	1	NUM
fcis-29349	54	29	shows	show	VERB
fcis-29349	54	30	the	the	DET
fcis-29349	54	31	results	result	NOUN
fcis-29349	54	32	of	of	ADP
fcis-29349	54	33	the	the	DET
fcis-29349	54	34	calculation	calculation	NOUN
fcis-29349	54	35	of	of	ADP
fcis-29349	54	36	each	each	DET
fcis-29349	54	37	indicator	indicator	NOUN
fcis-29349	54	38	.	.	PUNCT
fcis-29349	55	1	table	table	NOUN
fcis-29349	55	2	1	1	NUM
fcis-29349	55	3	.	.	PUNCT
fcis-29349	56	1	the	the	DET
fcis-29349	56	2	results	result	NOUN
fcis-29349	56	3	of	of	ADP
fcis-29349	56	4	each	each	DET
fcis-29349	56	5	indicator	indicator	NOUN
fcis-29349	56	6	are	be	AUX
fcis-29349	56	7	calculated	calculate	VERB
fcis-29349	56	8	i	i	PROPN
fcis-29349	56	9	d	d	PROPN
fcis-29349	56	10	psnr	psnr	PROPN
fcis-29349	56	11	uciqe	uciqe	PROPN
fcis-29349	56	12	uiqm	uiqm	NOUN
fcis-29349	56	13	ei	ei	ADP
fcis-29349	56	14	1	1	NUM
fcis-29349	56	15	13.4504	13.4504	NUM
fcis-29349	56	16	40.5993	40.5993	NUM
fcis-29349	56	17	0.0298	0.0298	NUM
fcis-29349	56	18	0.006	0.006	NUM
fcis-29349	56	19	2	2	NUM
fcis-29349	56	20	15.5399	15.5399	NUM
fcis-29349	56	21	24.2551	24.2551	NUM
fcis-29349	56	22	0.0255	0.0255	NUM
fcis-29349	56	23	0.007	0.007	NUM
fcis-29349	56	24	3	3	NUM
fcis-29349	56	25	13.2525	13.2525	NUM
fcis-29349	56	26	27.0151	27.0151	NUM
fcis-29349	56	27	0.0414	0.0414	NUM
fcis-29349	56	28	0.012	0.012	NUM
fcis-29349	56	29	5	5	NUM
fcis-29349	56	30	.	.	PUNCT
fcis-29349	57	1	underwater	underwater	ADJ
fcis-29349	57	2	image	image	NOUN
fcis-29349	57	3	enhancement	enhancement	NOUN
fcis-29349	57	4	for	for	ADP
fcis-29349	57	5	complex	complex	ADJ
fcis-29349	57	6	scenes	scene	NOUN
fcis-29349	57	7	in	in	ADP
fcis-29349	57	8	this	this	DET
fcis-29349	57	9	section	section	NOUN
fcis-29349	57	10	,	,	PUNCT
fcis-29349	57	11	the	the	DET
fcis-29349	57	12	mlle	mlle	NOUN
fcis-29349	57	13	model	model	NOUN
fcis-29349	57	14	is	be	AUX
fcis-29349	57	15	used	use	VERB
fcis-29349	57	16	,	,	PUNCT
fcis-29349	57	17	and	and	CCONJ
fcis-29349	57	18	its	its	PRON
fcis-29349	57	19	principle	principle	NOUN
fcis-29349	57	20	is	be	AUX
fcis-29349	57	21	shown	show	VERB
fcis-29349	57	22	in	in	ADP
fcis-29349	57	23	figure	figure	NOUN
fcis-29349	57	24	6	6	NUM
fcis-29349	57	25	.	.	PUNCT
fcis-29349	57	26	figure	figure	VERB
fcis-29349	57	27	6	6	NUM
fcis-29349	57	28	.	.	PUNCT
fcis-29349	58	1	mlle	mlle	NOUN
fcis-29349	58	2	schematic	schematic	ADJ
fcis-29349	58	3	in	in	ADP
fcis-29349	58	4	this	this	DET
fcis-29349	58	5	section	section	NOUN
fcis-29349	58	6	,	,	PUNCT
fcis-29349	58	7	an	an	DET
fcis-29349	58	8	underwater	underwater	ADJ
fcis-29349	58	9	image	image	NOUN
fcis-29349	58	10	enhancement	enhancement	NOUN
fcis-29349	58	11	method	method	NOUN
fcis-29349	58	12	based	base	VERB
fcis-29349	58	13	on	on	ADP
fcis-29349	58	14	minimum	minimum	ADJ
fcis-29349	58	15	color	color	NOUN
fcis-29349	58	16	loss	loss	NOUN
fcis-29349	58	17	and	and	CCONJ
fcis-29349	58	18	local	local	ADJ
fcis-29349	58	19	adaptive	adaptive	ADJ
fcis-29349	58	20	contrast	contrast	NOUN
fcis-29349	58	21	enhancement	enhancement	NOUN
fcis-29349	58	22	is	be	AUX
fcis-29349	58	23	proposed	propose	VERB
fcis-29349	58	24	,	,	PUNCT
fcis-29349	58	25	aiming	aim	VERB
fcis-29349	58	26	to	to	PART
fcis-29349	58	27	address	address	VERB
fcis-29349	58	28	the	the	DET
fcis-29349	58	29	quality	quality	NOUN
fcis-29349	58	30	degradation	degradation	NOUN
fcis-29349	58	31	caused	cause	VERB
fcis-29349	58	32	by	by	ADP
fcis-29349	58	33	scattering	scatter	VERB
fcis-29349	58	34	and	and	CCONJ
fcis-29349	58	35	absorption	absorption	NOUN
fcis-29349	58	36	of	of	ADP
fcis-29349	58	37	84	84	NUM
fcis-29349	58	38	underwater	underwater	ADJ
fcis-29349	58	39	images	image	NOUN
fcis-29349	58	40	.	.	PUNCT
fcis-29349	59	1	in	in	ADP
fcis-29349	59	2	particular	particular	ADJ
fcis-29349	59	3	,	,	PUNCT
fcis-29349	59	4	the	the	DET
fcis-29349	59	5	minimum	minimum	ADJ
fcis-29349	59	6	color	color	NOUN
fcis-29349	59	7	loss	loss	NOUN
fcis-29349	59	8	module	module	NOUN
fcis-29349	59	9	analyzes	analyze	VERB
fcis-29349	59	10	the	the	DET
fcis-29349	59	11	underwater	underwater	ADJ
fcis-29349	59	12	image	image	NOUN
fcis-29349	59	13	formation	formation	NOUN
fcis-29349	59	14	process	process	NOUN
fcis-29349	59	15	based	base	VERB
fcis-29349	59	16	on	on	ADP
fcis-29349	59	17	a	a	DET
fcis-29349	59	18	physical	physical	ADJ
fcis-29349	59	19	model	model	NOUN
fcis-29349	59	20	and	and	CCONJ
fcis-29349	59	21	maintains	maintain	VERB
fcis-29349	59	22	the	the	DET
fcis-29349	59	23	original	original	ADJ
fcis-29349	59	24	color	color	NOUN
fcis-29349	59	25	characteristics	characteristic	NOUN
fcis-29349	59	26	of	of	ADP
fcis-29349	59	27	the	the	DET
fcis-29349	59	28	image	image	NOUN
fcis-29349	59	29	by	by	ADP
fcis-29349	59	30	minimizing	minimize	VERB
fcis-29349	59	31	the	the	DET
fcis-29349	59	32	loss	loss	NOUN
fcis-29349	59	33	of	of	ADP
fcis-29349	59	34	information	information	NOUN
fcis-29349	59	35	in	in	ADP
fcis-29349	59	36	the	the	DET
fcis-29349	59	37	color	color	NOUN
fcis-29349	59	38	correction	correction	NOUN
fcis-29349	59	39	process	process	NOUN
fcis-29349	59	40	.	.	PUNCT
fcis-29349	60	1	local	local	ADJ
fcis-29349	60	2	adaptive	adaptive	ADJ
fcis-29349	60	3	contrast	contrast	NOUN
fcis-29349	60	4	enhancement	enhancement	NOUN
fcis-29349	60	5	adaptively	adaptively	ADV
fcis-29349	60	6	adjusts	adjust	VERB
fcis-29349	60	7	parameters	parameter	NOUN
fcis-29349	60	8	based	base	VERB
fcis-29349	60	9	on	on	ADP
fcis-29349	60	10	local	local	ADJ
fcis-29349	60	11	area	area	NOUN
fcis-29349	60	12	characteristics	characteristic	NOUN
fcis-29349	60	13	to	to	PART
fcis-29349	60	14	avoid	avoid	VERB
fcis-29349	60	15	over	over	ADP
fcis-29349	60	16	-	-	PUNCT
fcis-29349	60	17	enhancement	enhancement	NOUN
fcis-29349	60	18	and	and	CCONJ
fcis-29349	60	19	noise	noise	NOUN
fcis-29349	60	20	amplification	amplification	NOUN
fcis-29349	60	21	,	,	PUNCT
fcis-29349	60	22	thus	thus	ADV
fcis-29349	60	23	improving	improve	VERB
fcis-29349	60	24	image	image	NOUN
fcis-29349	60	25	details	detail	NOUN
fcis-29349	60	26	and	and	CCONJ
fcis-29349	60	27	edge	edge	NOUN
fcis-29349	60	28	sharpness	sharpness	NOUN
fcis-29349	60	29	.	.	PUNCT
fcis-29349	61	1	the	the	DET
fcis-29349	61	2	technical	technical	ADJ
fcis-29349	61	3	advantage	advantage	NOUN
fcis-29349	61	4	of	of	ADP
fcis-29349	61	5	this	this	DET
fcis-29349	61	6	method	method	NOUN
fcis-29349	61	7	is	be	AUX
fcis-29349	61	8	that	that	SCONJ
fcis-29349	61	9	it	it	PRON
fcis-29349	61	10	can	can	AUX
fcis-29349	61	11	better	well	ADV
fcis-29349	61	12	maintain	maintain	VERB
fcis-29349	61	13	the	the	DET
fcis-29349	61	14	original	original	ADJ
fcis-29349	61	15	color	color	NOUN
fcis-29349	61	16	information	information	NOUN
fcis-29349	61	17	and	and	CCONJ
fcis-29349	61	18	achieve	achieve	VERB
fcis-29349	61	19	natural	natural	ADJ
fcis-29349	61	20	balanced	balanced	ADJ
fcis-29349	61	21	detail	detail	NOUN
fcis-29349	61	22	enhancement	enhancement	NOUN
fcis-29349	61	23	with	with	ADP
fcis-29349	61	24	strong	strong	ADJ
fcis-29349	61	25	adaptability	adaptability	NOUN
fcis-29349	61	26	and	and	CCONJ
fcis-29349	61	27	stability	stability	NOUN
fcis-29349	61	28	.	.	PUNCT
fcis-29349	62	1	the	the	DET
fcis-29349	62	2	results	result	NOUN
fcis-29349	62	3	of	of	ADP
fcis-29349	62	4	the	the	DET
fcis-29349	62	5	specific	specific	ADJ
fcis-29349	62	6	evaluation	evaluation	NOUN
fcis-29349	62	7	indicators	indicator	NOUN
fcis-29349	62	8	are	be	AUX
fcis-29349	62	9	shown	show	VERB
fcis-29349	62	10	in	in	ADP
fcis-29349	62	11	table	table	NOUN
fcis-29349	62	12	2	2	NUM
fcis-29349	62	13	.	.	PUNCT
fcis-29349	62	14	table	table	NOUN
fcis-29349	62	15	2	2	NUM
fcis-29349	62	16	.	.	PUNCT
fcis-29349	62	17	evaluation	evaluation	NOUN
fcis-29349	62	18	indicator	indicator	NOUN
fcis-29349	62	19	results	result	VERB
fcis-29349	62	20	i	i	PRON
fcis-29349	62	21	d	d	PROPN
fcis-29349	62	22	psnr	psnr	PROPN
fcis-29349	62	23	uiqm	uiqm	ADV
fcis-29349	62	24	uciqe	uciqe	ADJ
fcis-29349	62	25	1	1	NUM
fcis-29349	62	26	8.0892	8.0892	NUM
fcis-29349	62	27	0.0336	0.0336	NUM
fcis-29349	62	28	28.2507	28.2507	NUM
fcis-29349	62	29	4	4	NUM
fcis-29349	62	30	9.872786	9.872786	NUM
fcis-29349	62	31	2	2	NUM
fcis-29349	62	32	14.3858	14.3858	NUM
fcis-29349	62	33	0.1165	0.1165	NUM
fcis-29349	62	34	24.5331	24.5331	NUM
fcis-29349	62	35	4	4	NUM
fcis-29349	62	36	9.574799	9.574799	NUM
fcis-29349	62	37	3	3	NUM
fcis-29349	62	38	11.4169	11.4169	NUM
fcis-29349	62	39	0.0586	0.0586	NUM
fcis-29349	62	40	24.7549	24.7549	NUM
fcis-29349	62	41	5	5	NUM
fcis-29349	62	42	9.832558	9.832558	NUM
fcis-29349	62	43	6	6	NUM
fcis-29349	62	44	.	.	PUNCT
fcis-29349	63	1	conclusion	conclusion	NOUN
fcis-29349	63	2	in	in	ADP
fcis-29349	63	3	this	this	DET
fcis-29349	63	4	study	study	NOUN
fcis-29349	63	5	,	,	PUNCT
fcis-29349	63	6	an	an	DET
fcis-29349	63	7	underwater	underwater	ADJ
fcis-29349	63	8	image	image	NOUN
fcis-29349	63	9	processing	processing	NOUN
fcis-29349	63	10	method	method	NOUN
fcis-29349	63	11	based	base	VERB
fcis-29349	63	12	on	on	ADP
fcis-29349	63	13	the	the	DET
fcis-29349	63	14	gray	gray	ADJ
fcis-29349	63	15	world	world	NOUN
fcis-29349	63	16	algorithm	algorithm	NOUN
fcis-29349	63	17	and	and	CCONJ
fcis-29349	63	18	a	a	DET
fcis-29349	63	19	simplified	simplified	ADJ
fcis-29349	63	20	jaffemcglamery	jaffemcglamery	NOUN
fcis-29349	63	21	model	model	NOUN
fcis-29349	63	22	is	be	AUX
fcis-29349	63	23	proposed	propose	VERB
fcis-29349	63	24	.	.	PUNCT
fcis-29349	64	1	by	by	ADP
fcis-29349	64	2	analyzing	analyze	VERB
fcis-29349	64	3	the	the	DET
fcis-29349	64	4	images	image	NOUN
fcis-29349	64	5	from	from	ADP
fcis-29349	64	6	multiple	multiple	ADJ
fcis-29349	64	7	perspectives	perspective	NOUN
fcis-29349	64	8	,	,	PUNCT
fcis-29349	64	9	the	the	DET
fcis-29349	64	10	underwater	underwater	ADJ
fcis-29349	64	11	images	image	NOUN
fcis-29349	64	12	are	be	AUX
fcis-29349	64	13	classified	classify	VERB
fcis-29349	64	14	into	into	ADP
fcis-29349	64	15	three	three	NUM
fcis-29349	64	16	categories	category	NOUN
fcis-29349	64	17	,	,	PUNCT
fcis-29349	64	18	and	and	CCONJ
fcis-29349	64	19	corresponding	correspond	VERB
fcis-29349	64	20	enhancement	enhancement	NOUN
fcis-29349	64	21	strategies	strategy	NOUN
fcis-29349	64	22	are	be	AUX
fcis-29349	64	23	developed	develop	VERB
fcis-29349	64	24	for	for	ADP
fcis-29349	64	25	each	each	DET
fcis-29349	64	26	degradation	degradation	NOUN
fcis-29349	64	27	type	type	NOUN
fcis-29349	64	28	.	.	PUNCT
fcis-29349	65	1	specifically	specifically	ADV
fcis-29349	65	2	,	,	PUNCT
fcis-29349	65	3	an	an	DET
fcis-29349	65	4	improved	improved	ADJ
fcis-29349	65	5	grey	grey	ADJ
fcis-29349	65	6	-	-	PUNCT
fcis-29349	65	7	scale	scale	NOUN
fcis-29349	65	8	world	world	NOUN
fcis-29349	65	9	algorithm	algorithm	NOUN
fcis-29349	65	10	is	be	AUX
fcis-29349	65	11	used	use	VERB
fcis-29349	65	12	to	to	PART
fcis-29349	65	13	remove	remove	VERB
fcis-29349	65	14	color	color	NOUN
fcis-29349	65	15	bias	bias	NOUN
fcis-29349	65	16	,	,	PUNCT
fcis-29349	65	17	the	the	DET
fcis-29349	65	18	constrained	constrained	ADJ
fcis-29349	65	19	contrast	contrast	NOUN
fcis-29349	65	20	adaptive	adaptive	ADJ
fcis-29349	65	21	histogram	histogram	NOUN
fcis-29349	65	22	equalization	equalization	NOUN
fcis-29349	65	23	(	(	PUNCT
fcis-29349	65	24	clahe	clahe	NOUN
fcis-29349	65	25	)	)	PUNCT
fcis-29349	65	26	technique	technique	NOUN
fcis-29349	65	27	is	be	AUX
fcis-29349	65	28	used	use	VERB
fcis-29349	65	29	to	to	PART
fcis-29349	65	30	improve	improve	VERB
fcis-29349	65	31	the	the	DET
fcis-29349	65	32	images	image	NOUN
fcis-29349	65	33	under	under	ADP
fcis-29349	65	34	low	low	ADJ
fcis-29349	65	35	-	-	PUNCT
fcis-29349	65	36	light	light	NOUN
fcis-29349	65	37	conditions	condition	NOUN
fcis-29349	65	38	,	,	PUNCT
fcis-29349	65	39	and	and	CCONJ
fcis-29349	65	40	the	the	DET
fcis-29349	65	41	depth	depth	NOUN
fcis-29349	65	42	estimation	estimation	NOUN
fcis-29349	65	43	and	and	CCONJ
fcis-29349	65	44	parameter	parameter	NOUN
fcis-29349	65	45	adaptation	adaptation	NOUN
fcis-29349	65	46	modules	module	NOUN
fcis-29349	65	47	optimize	optimize	VERB
fcis-29349	65	48	the	the	DET
fcis-29349	65	49	dark	dark	ADJ
fcis-29349	65	50	channel	channel	NOUN
fcis-29349	65	51	prior	prior	ADJ
fcis-29349	65	52	algorithm	algorithm	NOUN
fcis-29349	65	53	to	to	PART
fcis-29349	65	54	remove	remove	VERB
fcis-29349	65	55	blur	blur	PROPN
fcis-29349	65	56	.	.	PUNCT
fcis-29349	66	1	the	the	DET
fcis-29349	66	2	results	result	NOUN
fcis-29349	66	3	show	show	VERB
fcis-29349	66	4	that	that	SCONJ
fcis-29349	66	5	the	the	DET
fcis-29349	66	6	proposed	propose	VERB
fcis-29349	66	7	method	method	NOUN
fcis-29349	66	8	performs	perform	VERB
fcis-29349	66	9	significantly	significantly	ADV
fcis-29349	66	10	in	in	ADP
fcis-29349	66	11	improving	improve	VERB
fcis-29349	66	12	the	the	DET
fcis-29349	66	13	visual	visual	ADJ
fcis-29349	66	14	quality	quality	NOUN
fcis-29349	66	15	and	and	CCONJ
fcis-29349	66	16	various	various	ADJ
fcis-29349	66	17	evaluation	evaluation	NOUN
fcis-29349	66	18	metrics	metric	NOUN
fcis-29349	66	19	of	of	ADP
fcis-29349	66	20	underwater	underwater	ADJ
fcis-29349	66	21	images	image	NOUN
fcis-29349	66	22	,	,	PUNCT
fcis-29349	66	23	especially	especially	ADV
fcis-29349	66	24	in	in	ADP
fcis-29349	66	25	complex	complex	ADJ
fcis-29349	66	26	underwater	underwater	ADJ
fcis-29349	66	27	environments	environment	NOUN
fcis-29349	66	28	,	,	PUNCT
fcis-29349	66	29	and	and	CCONJ
fcis-29349	66	30	the	the	DET
fcis-29349	66	31	combination	combination	NOUN
fcis-29349	66	32	of	of	ADP
fcis-29349	66	33	multiple	multiple	ADJ
fcis-29349	66	34	models	model	NOUN
fcis-29349	66	35	can	can	AUX
fcis-29349	66	36	be	be	AUX
fcis-29349	66	37	applied	apply	VERB
fcis-29349	66	38	to	to	PART
fcis-29349	66	39	cope	cope	VERB
fcis-29349	66	40	with	with	ADP
fcis-29349	66	41	image	image	NOUN
fcis-29349	66	42	degradation	degradation	NOUN
fcis-29349	66	43	more	more	ADV
fcis-29349	66	44	effectively	effectively	ADV
fcis-29349	66	45	.	.	PUNCT
fcis-29349	67	1	in	in	ADP
fcis-29349	67	2	summary	summary	NOUN
fcis-29349	67	3	,	,	PUNCT
fcis-29349	67	4	this	this	DET
fcis-29349	67	5	study	study	NOUN
fcis-29349	67	6	provides	provide	VERB
fcis-29349	67	7	a	a	DET
fcis-29349	67	8	systematic	systematic	ADJ
fcis-29349	67	9	enhancement	enhancement	NOUN
fcis-29349	67	10	framework	framework	NOUN
fcis-29349	67	11	for	for	ADP
fcis-29349	67	12	underwater	underwater	ADJ
fcis-29349	67	13	image	image	NOUN
fcis-29349	67	14	processing	processing	NOUN
fcis-29349	67	15	,	,	PUNCT
fcis-29349	67	16	emphasizes	emphasize	VERB
fcis-29349	67	17	the	the	DET
fcis-29349	67	18	importance	importance	NOUN
fcis-29349	67	19	of	of	ADP
fcis-29349	67	20	customizing	customize	VERB
fcis-29349	67	21	the	the	DET
fcis-29349	67	22	processing	processing	NOUN
fcis-29349	67	23	strategy	strategy	NOUN
fcis-29349	67	24	according	accord	VERB
fcis-29349	67	25	to	to	ADP
fcis-29349	67	26	the	the	DET
fcis-29349	67	27	type	type	NOUN
fcis-29349	67	28	of	of	ADP
fcis-29349	67	29	image	image	NOUN
fcis-29349	67	30	degradation	degradation	NOUN
fcis-29349	67	31	,	,	PUNCT
fcis-29349	67	32	and	and	CCONJ
fcis-29349	67	33	promotes	promote	VERB
fcis-29349	67	34	the	the	DET
fcis-29349	67	35	development	development	NOUN
fcis-29349	67	36	of	of	ADP
fcis-29349	67	37	underwater	underwater	ADJ
fcis-29349	67	38	image	image	NOUN
fcis-29349	67	39	technology	technology	NOUN
fcis-29349	67	40	.	.	PUNCT
fcis-29349	68	1	references	reference	NOUN
fcis-29349	68	2	[	[	X
fcis-29349	68	3	1	1	X
fcis-29349	68	4	]	]	PUNCT
fcis-29349	68	5	an	an	DET
fcis-29349	68	6	zhinan	zhinan	PROPN
fcis-29349	68	7	,	,	PUNCT
fcis-29349	68	8	wei	wei	PROPN
fcis-29349	68	9	yun	yun	PROPN
fcis-29349	68	10	.	.	PUNCT
fcis-29349	69	1	a	a	DET
fcis-29349	69	2	low	low	ADJ
fcis-29349	69	3	-	-	PUNCT
fcis-29349	69	4	light	light	NOUN
fcis-29349	69	5	image	image	NOUN
fcis-29349	69	6	enhancement	enhancement	NOUN
fcis-29349	69	7	algorithm	algorithm	NOUN
fcis-29349	69	8	combining	combine	VERB
fcis-29349	69	9	gray	gray	ADJ
fcis-29349	69	10	world	world	NOUN
fcis-29349	69	11	and	and	CCONJ
fcis-29349	69	12	retinex	retinex	NOUN
fcis-29349	70	1	[	[	X
fcis-29349	70	2	j	j	X
fcis-29349	70	3	]	]	X
fcis-29349	70	4	.	.	PUNCT
fcis-29349	71	1	small	small	ADJ
fcis-29349	71	2	microcomputer	microcomputer	NOUN
fcis-29349	71	3	systems,2024,45(02	systems,2024,45(02	NOUN
fcis-29349	71	4	):	):	PUNCT
fcis-29349	71	5	477	477	NUM
fcis-29349	71	6	-	-	SYM
fcis-29349	71	7	482	482	NUM
fcis-29349	71	8	.	.	PUNCT
fcis-29349	72	1	doi	doi	NOUN
fcis-29349	72	2	:	:	PUNCT
fcis-29349	72	3	10	10	NUM
fcis-29349	72	4	.	.	X
fcis-29349	73	1	20009/	20009/	PROPN
fcis-29349	73	2	j.	j.	PROPN
fcis-29349	73	3	cnki.21	cnki.21	PROPN
fcis-29349	73	4	-	-	PUNCT
fcis-29349	73	5	1106/	1106/	PROPN
fcis-29349	73	6	tp	tp	NOUN
fcis-29349	73	7	.	.	PROPN
fcis-29349	73	8	2022	2022	NUM
fcis-29349	73	9	-	-	SYM
fcis-29349	73	10	0455	0455	NUM
fcis-29349	73	11	.	.	PUNCT
fcis-29349	74	1	[	[	X
fcis-29349	74	2	2	2	NUM
fcis-29349	74	3	]	]	X
fcis-29349	74	4	ma	ma	PROPN
fcis-29349	74	5	shilong	shilong	PROPN
fcis-29349	74	6	.	.	PUNCT
fcis-29349	75	1	research	research	NOUN
fcis-29349	75	2	on	on	ADP
fcis-29349	75	3	image	image	NOUN
fcis-29349	75	4	enhancement	enhancement	NOUN
fcis-29349	75	5	and	and	CCONJ
fcis-29349	75	6	image	image	NOUN
fcis-29349	75	7	stitching	stitching	NOUN
fcis-29349	75	8	technology	technology	NOUN
fcis-29349	75	9	based	base	VERB
fcis-29349	75	10	on	on	ADP
fcis-29349	75	11	underwater	underwater	ADJ
fcis-29349	75	12	imaging	imaging	NOUN
fcis-29349	75	13	model	model	NOUN
fcis-29349	76	1	[	[	X
fcis-29349	76	2	d	d	X
fcis-29349	76	3	]	]	X
fcis-29349	76	4	.	.	PUNCT
fcis-29349	77	1	harbin	harbin	PROPN
fcis-29349	77	2	engineering	engineering	PROPN
fcis-29349	77	3	university	university	PROPN
fcis-29349	77	4	,	,	PUNCT
fcis-29349	77	5	2023	2023	NUM
fcis-29349	77	6	.	.	PUNCT
fcis-29349	78	1	doi	doi	NOUN
fcis-29349	78	2	:	:	PUNCT
fcis-29349	78	3	10	10	NUM
fcis-29349	78	4	.	.	X
fcis-29349	78	5	27060/	27060/	NUM
fcis-29349	78	6	d.	d.	PROPN
fcis-29349	78	7	cnki	cnki	PROPN
fcis-29349	78	8	.	.	PUNCT
fcis-29349	78	9	ghbcu	ghbcu	PROPN
fcis-29349	78	10	.	.	PUNCT
fcis-29349	79	1	2023.002346	2023.002346	ADJ
fcis-29349	79	2	.	.	PUNCT
fcis-29349	80	1	[	[	X
fcis-29349	80	2	3	3	X
fcis-29349	80	3	]	]	X
fcis-29349	80	4	zhang	zhang	PROPN
fcis-29349	80	5	tianchi	tianchi	PROPN
fcis-29349	80	6	,	,	PUNCT
fcis-29349	80	7	liu	liu	PROPN
fcis-29349	80	8	yuxuan	yuxuan	PROPN
fcis-29349	80	9	.	.	PUNCT
fcis-29349	81	1	research	research	NOUN
fcis-29349	81	2	progress	progress	NOUN
fcis-29349	81	3	on	on	ADP
fcis-29349	81	4	deep	deep	ADJ
fcis-29349	81	5	learning	learning	NOUN
fcis-29349	81	6	-	-	PUNCT
fcis-29349	81	7	driven	drive	VERB
fcis-29349	81	8	underwater	underwater	ADJ
fcis-29349	81	9	image	image	NOUN
fcis-29349	81	10	processing[j	processing[j	NOUN
fcis-29349	81	11	]	]	PUNCT
fcis-29349	81	12	.	.	PUNCT
fcis-29349	82	1	computer	computer	NOUN
fcis-29349	82	2	science,2024,51(s1):283	science,2024,51(s1):283	PROPN
fcis-29349	82	3	-	-	PUNCT
fcis-29349	82	4	294	294	NUM
fcis-29349	82	5	.	.	PUNCT
fcis-29349	83	1	[	[	X
fcis-29349	83	2	4	4	NUM
fcis-29349	83	3	]	]	X
fcis-29349	83	4	li	li	PROPN
fcis-29349	83	5	zhijiang	zhijiang	PROPN
fcis-29349	83	6	,	,	PUNCT
fcis-29349	83	7	hu	hu	PROPN
fcis-29349	83	8	zunlan	zunlan	PROPN
fcis-29349	83	9	.	.	PUNCT
fcis-29349	84	1	color	color	NOUN
fcis-29349	84	2	bias	bias	NOUN
fcis-29349	84	3	detection	detection	NOUN
fcis-29349	84	4	algorithm	algorithm	NOUN
fcis-29349	84	5	based	base	VERB
fcis-29349	84	6	on	on	ADP
fcis-29349	84	7	color	color	NOUN
fcis-29349	84	8	feature	feature	NOUN
fcis-29349	84	9	analysis[j	analysis[j	PROPN
fcis-29349	84	10	]	]	PUNCT
fcis-29349	84	11	.	.	PUNCT
fcis-29349	85	1	computer	computer	NOUN
fcis-29349	85	2	system	system	NOUN
fcis-29349	85	3	applications	application	NOUN
fcis-29349	85	4	,	,	PUNCT
fcis-29349	85	5	2017	2017	NUM
fcis-29349	85	6	,	,	PUNCT
fcis-29349	85	7	26(09	26(09	NUM
fcis-29349	85	8	):	):	PUNCT
fcis-29349	85	9	116-121.doi	116-121.doi	NUM
fcis-29349	85	10	:	:	PUNCT
fcis-29349	85	11	10.15888/	10.15888/	NUM
fcis-29349	85	12	j.cnki	j.cnki	NOUN
fcis-29349	85	13	.	.	PUNCT
fcis-29349	86	1	csa.005947	csa.005947	X
fcis-29349	86	2	.	.	PUNCT
fcis-29349	87	1	[	[	X
fcis-29349	87	2	5	5	NUM
fcis-29349	87	3	]	]	X
fcis-29349	87	4	zhang	zhang	PROPN
fcis-29349	87	5	jiupeng	jiupeng	PROPN
fcis-29349	87	6	,	,	PUNCT
fcis-29349	87	7	zhang	zhang	PROPN
fcis-29349	87	8	wei	wei	PROPN
fcis-29349	87	9	.	.	PUNCT
fcis-29349	88	1	inversion	inversion	NOUN
fcis-29349	88	2	-	-	PUNCT
fcis-29349	88	3	based	base	VERB
fcis-29349	88	4	improved	improved	ADJ
fcis-29349	88	5	algorithm	algorithm	NOUN
fcis-29349	88	6	for	for	ADP
fcis-29349	88	7	de	de	NOUN
fcis-29349	88	8	-	-	NOUN
fcis-29349	88	9	fogging	fogging	NOUN
fcis-29349	88	10	of	of	ADP
fcis-29349	88	11	restricted	restricted	ADJ
fcis-29349	88	12	contrast	contrast	NOUN
fcis-29349	88	13	adaptive	adaptive	ADJ
fcis-29349	88	14	histogram	histogram	NOUN
fcis-29349	88	15	equalized	equalize	VERB
fcis-29349	88	16	images[j	images[j	PROPN
fcis-29349	88	17	]	]	PUNCT
fcis-29349	88	18	.	.	PUNCT
fcis-29349	89	1	internet	internet	NOUN
fcis-29349	89	2	of	of	ADP
fcis-29349	89	3	things	thing	NOUN
fcis-29349	89	4	technology	technology	NOUN
fcis-29349	89	5	,	,	PUNCT
fcis-29349	89	6	2015	2015	NUM
fcis-29349	89	7	,	,	PUNCT
fcis-29349	89	8	5(02):10	5(02):10	NOUN
fcis-29349	89	9	-	-	SYM
fcis-29349	89	10	12	12	NUM
fcis-29349	90	1	+	+	ADJ
fcis-29349	90	2	16.doi	16.doi	PROPN
fcis-29349	90	3	:	:	PUNCT
fcis-29349	90	4	10.16667	10.16667	NUM
fcis-29349	90	5	/	/	SYM
fcis-29349	90	6	j.issn.2095	j.issn.2095	NOUN
fcis-29349	90	7	-	-	PUNCT
fcis-29349	90	8	1302.2015	1302.2015	NUM
fcis-29349	90	9	.	.	PUNCT
fcis-29349	90	10	02	02	NUM
fcis-29349	90	11	.	.	PUNCT
fcis-29349	90	12	030	030	NUM
fcis-29349	90	13	.	.	PUNCT
fcis-29349	91	1	[	[	X
fcis-29349	91	2	6	6	NUM
fcis-29349	91	3	]	]	X
fcis-29349	91	4	zhao	zhao	X
fcis-29349	91	5	,	,	PUNCT
fcis-29349	91	6	ling	ling	PROPN
fcis-29349	91	7	na	na	PROPN
fcis-29349	91	8	.	.	PUNCT
fcis-29349	92	1	an	an	DET
fcis-29349	92	2	improved	improve	VERB
fcis-29349	92	3	dark	dark	ADJ
fcis-29349	92	4	channel	channel	NOUN
fcis-29349	92	5	a	a	DET
fcis-29349	92	6	priori	priori	ADJ
fcis-29349	92	7	low	low	ADJ
fcis-29349	92	8	-	-	PUNCT
fcis-29349	92	9	light	light	NOUN
fcis-29349	92	10	image	image	NOUN
fcis-29349	92	11	enhancement	enhancement	NOUN
fcis-29349	92	12	algorithm	algorithm	NOUN
fcis-29349	93	1	[	[	X
fcis-29349	93	2	j	j	X
fcis-29349	93	3	]	]	X
fcis-29349	93	4	.	.	PUNCT
fcis-29349	94	1	journal	journal	PROPN
fcis-29349	94	2	of	of	ADP
fcis-29349	94	3	jiamusi	jiamusi	PROPN
fcis-29349	94	4	university	university	PROPN
fcis-29349	94	5	(	(	PUNCT
fcis-29349	94	6	natural	natural	ADJ
fcis-29349	94	7	science	science	NOUN
fcis-29349	94	8	edition),2024,42(08):42	edition),2024,42(08):42	NOUN
fcis-29349	94	9	-	-	PUNCT
fcis-29349	94	10	44	44	NUM
fcis-29349	94	11	+	+	NOUN
fcis-29349	94	12	41	41	NUM
fcis-29349	94	13	.	.	PUNCT