id	sid	tid	token	lemma	pos
can-1335	1	1	49	49	NUM
can-1335	1	2	characterization	characterization	NOUN
can-1335	1	3	and	and	CCONJ
can-1335	1	4	application	application	NOUN
can-1335	1	5	of	of	ADP
can-1335	1	6	nanomaterials	nanomaterial	NOUN
can-1335	1	7	(	(	PUNCT
can-1335	1	8	2021	2021	NUM
can-1335	1	9	)	)	PUNCT
can-1335	1	10	volume	volume	NOUN
can-1335	1	11	4	4	NUM
can-1335	1	12	issue	issue	NOUN
can-1335	1	13	2	2	NUM
can-1335	1	14	doi:10.24294	doi:10.24294	NOUN
can-1335	1	15	/	/	SYM
can-1335	1	16	can.v4i2.1335	can.v4i2.1335	PROPN
can-1335	1	17	original	original	ADJ
can-1335	1	18	research	research	NOUN
can-1335	1	19	article	article	NOUN
can-1335	1	20	defocused	defocuse	VERB
can-1335	1	21	image	image	NOUN
can-1335	1	22	restoration	restoration	NOUN
can-1335	1	23	method	method	NOUN
can-1335	1	24	based	base	VERB
can-1335	1	25	on	on	ADP
can-1335	1	26	micro	micro	ADJ
can-1335	1	27	-	-	ADJ
can-1335	1	28	nano	nano	ADJ
can-1335	1	29	scale	scale	NOUN
can-1335	1	30	yongjun	yongjun	PROPN
can-1335	1	31	liu1,2	liu1,2	PROPN
can-1335	1	32	*	*	PROPN
can-1335	1	33	,	,	PUNCT
can-1335	1	34	qiuyu	qiuyu	PROPN
can-1335	1	35	wu1	wu1	PROPN
can-1335	1	36	,	,	PUNCT
can-1335	1	37	mingxin	mingxin	PROPN
can-1335	1	38	zhang1	zhang1	PROPN
can-1335	1	39	,	,	PUNCT
can-1335	1	40	yi	yi	PROPN
can-1335	1	41	wang2	wang2	NOUN
can-1335	1	42	1	1	NUM
can-1335	1	43	school	school	NOUN
can-1335	1	44	of	of	ADP
can-1335	1	45	computer	computer	NOUN
can-1335	1	46	science	science	NOUN
can-1335	1	47	and	and	CCONJ
can-1335	1	48	engineering	engineering	NOUN
can-1335	1	49	,	,	PUNCT
can-1335	1	50	changshu	changshu	NOUN
can-1335	1	51	institute	institute	PROPN
can-1335	1	52	of	of	ADP
can-1335	1	53	technology	technology	PROPN
can-1335	1	54	,	,	PUNCT
can-1335	1	55	changshu	changshu	NOUN
can-1335	1	56	215500	215500	NUM
can-1335	1	57	,	,	PUNCT
can-1335	1	58	china	china	PROPN
can-1335	1	59	.	.	PUNCT
can-1335	2	1	e	e	X
can-1335	2	2	-	-	NOUN
can-1335	2	3	mail	mail	NOUN
can-1335	2	4	:	:	PUNCT
can-1335	2	5	yongjun1981@126.com	yongjun1981@126.com	X
can-1335	2	6	2	2	NUM
can-1335	2	7	school	school	NOUN
can-1335	2	8	of	of	ADP
can-1335	2	9	computer	computer	NOUN
can-1335	2	10	science	science	NOUN
can-1335	2	11	and	and	CCONJ
can-1335	2	12	engineering	engineering	NOUN
can-1335	2	13	,	,	PUNCT
can-1335	2	14	northeastern	northeastern	ADJ
can-1335	2	15	university	university	PROPN
can-1335	2	16	,	,	PUNCT
can-1335	2	17	shenyang	shenyang	PROPN
can-1335	2	18	110819	110819	NUM
can-1335	2	19	,	,	PUNCT
can-1335	2	20	china	china	PROPN
can-1335	2	21	abstract	abstract	VERB
can-1335	2	22	an	an	DET
can-1335	2	23	image	image	NOUN
can-1335	2	24	adaptive	adaptive	ADJ
can-1335	2	25	noise	noise	NOUN
can-1335	2	26	reduction	reduction	NOUN
can-1335	2	27	enhancement	enhancement	NOUN
can-1335	2	28	algorithm	algorithm	NOUN
can-1335	2	29	based	base	VERB
can-1335	2	30	on	on	ADP
can-1335	2	31	nsct	nsct	PROPN
can-1335	2	32	is	be	AUX
can-1335	2	33	proposed	propose	VERB
can-1335	2	34	to	to	PART
can-1335	2	35	perform	perform	VERB
can-1335	2	36	image	image	NOUN
can-1335	2	37	restoration	restoration	NOUN
can-1335	2	38	preprocessing	preprocessing	NOUN
can-1335	2	39	on	on	ADP
can-1335	2	40	the	the	DET
can-1335	2	41	defocused	defocused	ADJ
can-1335	2	42	image	image	NOUN
can-1335	2	43	obtained	obtain	VERB
can-1335	2	44	under	under	ADP
can-1335	2	45	the	the	DET
can-1335	2	46	microscope	microscope	NOUN
can-1335	2	47	.	.	PUNCT
can-1335	3	1	defocused	defocuse	VERB
can-1335	3	2	images	image	NOUN
can-1335	3	3	acquired	acquire	VERB
can-1335	3	4	under	under	ADP
can-1335	3	5	micro	micro	ADJ
can-1335	3	6	-	-	ADJ
can-1335	3	7	nano	nano	ADJ
can-1335	3	8	scale	scale	NOUN
can-1335	3	9	optical	optical	ADJ
can-1335	3	10	microscopy	microscopy	NOUN
can-1335	3	11	,	,	PUNCT
can-1335	3	12	usually	usually	ADV
can-1335	3	13	with	with	ADP
can-1335	3	14	inconspicuous	inconspicuous	ADJ
can-1335	3	15	details	detail	NOUN
can-1335	3	16	,	,	PUNCT
can-1335	3	17	edges	edge	NOUN
can-1335	3	18	and	and	CCONJ
can-1335	3	19	contours	contour	NOUN
can-1335	3	20	,	,	PUNCT
can-1335	3	21	affect	affect	VERB
can-1335	3	22	the	the	DET
can-1335	3	23	accuracy	accuracy	NOUN
can-1335	3	24	of	of	ADP
can-1335	3	25	subsequent	subsequent	ADJ
can-1335	3	26	observation	observation	NOUN
can-1335	3	27	tasks	task	NOUN
can-1335	3	28	.	.	PUNCT
can-1335	4	1	due	due	ADP
can-1335	4	2	to	to	ADP
can-1335	4	3	its	its	PRON
can-1335	4	4	multi	multi	ADJ
can-1335	4	5	-	-	NOUN
can-1335	4	6	scale	scale	ADJ
can-1335	4	7	and	and	CCONJ
can-1335	4	8	multi	multi	NOUN
can-1335	4	9	-	-	NOUN
can-1335	4	10	directionality	directionality	NOUN
can-1335	4	11	,	,	PUNCT
can-1335	4	12	the	the	DET
can-1335	4	13	nsct	nsct	PROPN
can-1335	4	14	transform	transform	NOUN
can-1335	4	15	has	have	VERB
can-1335	4	16	superior	superior	ADJ
can-1335	4	17	transform	transform	NOUN
can-1335	4	18	functions	function	NOUN
can-1335	4	19	and	and	CCONJ
can-1335	4	20	can	can	AUX
can-1335	4	21	obtain	obtain	VERB
can-1335	4	22	more	more	ADJ
can-1335	4	23	textures	texture	NOUN
can-1335	4	24	and	and	CCONJ
can-1335	4	25	edges	edge	NOUN
can-1335	4	26	of	of	ADP
can-1335	4	27	images	image	NOUN
can-1335	4	28	.	.	PUNCT
can-1335	5	1	combined	combine	VERB
can-1335	5	2	with	with	ADP
can-1335	5	3	the	the	DET
can-1335	5	4	characteristics	characteristic	NOUN
can-1335	5	5	of	of	ADP
can-1335	5	6	micro	micro	ADJ
can-1335	5	7	-	-	NOUN
can-1335	5	8	nanoscale	nanoscale	ADJ
can-1335	5	9	optical	optical	ADJ
can-1335	5	10	defocus	defocus	NOUN
can-1335	5	11	images	image	NOUN
can-1335	5	12	,	,	PUNCT
can-1335	5	13	the	the	DET
can-1335	5	14	nsct	nsct	PROPN
can-1335	5	15	inverse	inverse	NOUN
can-1335	5	16	transform	transform	NOUN
can-1335	5	17	is	be	AUX
can-1335	5	18	performed	perform	VERB
can-1335	5	19	on	on	ADP
can-1335	5	20	all	all	DET
can-1335	5	21	sub	sub	NOUN
can-1335	5	22	-	-	NOUN
can-1335	5	23	bands	band	NOUN
can-1335	5	24	to	to	PART
can-1335	5	25	reconstruct	reconstruct	VERB
can-1335	5	26	the	the	DET
can-1335	5	27	image	image	NOUN
can-1335	5	28	.	.	PUNCT
can-1335	6	1	finally	finally	ADV
can-1335	6	2	,	,	PUNCT
can-1335	6	3	the	the	DET
can-1335	6	4	experimental	experimental	ADJ
can-1335	6	5	results	result	NOUN
can-1335	6	6	of	of	ADP
can-1335	6	7	the	the	DET
can-1335	6	8	standard	standard	ADJ
can-1335	6	9	500	500	NUM
can-1335	6	10	nm	nm	ADJ
can-1335	6	11	scale	scale	NOUN
can-1335	6	12	grid	grid	NOUN
can-1335	6	13	,	,	PUNCT
can-1335	6	14	conductive	conductive	ADJ
can-1335	6	15	probe	probe	NOUN
can-1335	6	16	and	and	CCONJ
can-1335	6	17	triangular	triangular	NOUN
can-1335	6	18	probe	probe	NOUN
can-1335	6	19	show	show	VERB
can-1335	6	20	that	that	SCONJ
can-1335	6	21	the	the	DET
can-1335	6	22	proposed	propose	VERB
can-1335	6	23	algorithm	algorithm	NOUN
can-1335	6	24	has	have	VERB
can-1335	6	25	a	a	DET
can-1335	6	26	better	well	ADJ
can-1335	6	27	image	image	NOUN
can-1335	6	28	enhancement	enhancement	NOUN
can-1335	6	29	effect	effect	NOUN
can-1335	6	30	and	and	CCONJ
can-1335	6	31	significantly	significantly	ADV
can-1335	6	32	improves	improve	VERB
can-1335	6	33	the	the	DET
can-1335	6	34	quality	quality	NOUN
can-1335	6	35	of	of	ADP
can-1335	6	36	out	out	ADV
can-1335	6	37	-	-	PUNCT
can-1335	6	38	of	of	ADP
can-1335	6	39	-	-	PUNCT
can-1335	6	40	focus	focus	NOUN
can-1335	6	41	images	image	NOUN
can-1335	6	42	.	.	PUNCT
can-1335	7	1	keywords	keyword	NOUN
can-1335	7	2	:	:	PUNCT
can-1335	7	3	micro	micro	ADJ
can-1335	7	4	-	-	ADJ
can-1335	7	5	nano	nano	ADJ
can-1335	7	6	scale	scale	NOUN
can-1335	7	7	;	;	PUNCT
can-1335	7	8	defocused	defocused	ADJ
can-1335	7	9	image	image	NOUN
can-1335	7	10	;	;	PUNCT
can-1335	7	11	nsct	nsct	NOUN
can-1335	7	12	;	;	PUNCT
can-1335	7	13	image	image	NOUN
can-1335	7	14	restoration	restoration	NOUN
can-1335	7	15	1	1	NUM
can-1335	7	16	.	.	PUNCT
can-1335	7	17	introduction	introduction	NOUN
can-1335	7	18	when	when	SCONJ
can-1335	7	19	observing	observe	VERB
can-1335	7	20	samples	sample	NOUN
can-1335	7	21	with	with	ADP
can-1335	7	22	optical	optical	ADJ
can-1335	7	23	microscope	microscope	NOUN
can-1335	7	24	,	,	PUNCT
can-1335	7	25	there	there	PRON
can-1335	7	26	is	be	VERB
can-1335	7	27	a	a	DET
can-1335	7	28	problem	problem	NOUN
can-1335	7	29	of	of	ADP
can-1335	7	30	“	"	PUNCT
can-1335	7	31	abbe	abbe	X
can-1335	7	32	limit	limit	NOUN
can-1335	7	33	”	"	PUNCT
can-1335	7	34	due	due	ADP
can-1335	7	35	to	to	ADP
can-1335	7	36	the	the	DET
can-1335	7	37	limitation	limitation	NOUN
can-1335	7	38	of	of	ADP
can-1335	7	39	diffraction	diffraction	NOUN
can-1335	7	40	limit[1,2	limit[1,2	PROPN
can-1335	7	41	]	]	PUNCT
can-1335	7	42	.	.	PUNCT
can-1335	8	1	when	when	SCONJ
can-1335	8	2	the	the	DET
can-1335	8	3	observation	observation	NOUN
can-1335	8	4	scale	scale	NOUN
can-1335	8	5	reaches	reach	VERB
can-1335	8	6	the	the	DET
can-1335	8	7	micro	micro	ADJ
can-1335	8	8	-	-	ADJ
can-1335	8	9	nano	nano	ADJ
can-1335	8	10	level	level	NOUN
can-1335	8	11	,	,	PUNCT
can-1335	8	12	the	the	DET
can-1335	8	13	observed	observe	VERB
can-1335	8	14	images	image	NOUN
can-1335	8	15	show	show	VERB
can-1335	8	16	fuzzy	fuzzy	ADJ
can-1335	8	17	circular	circular	ADJ
can-1335	8	18	spots	spot	NOUN
can-1335	8	19	no	no	ADV
can-1335	8	20	matter	matter	ADV
can-1335	8	21	how	how	SCONJ
can-1335	8	22	to	to	PART
can-1335	8	23	adjust	adjust	VERB
can-1335	8	24	the	the	DET
can-1335	8	25	focal	focal	ADJ
can-1335	8	26	length	length	NOUN
can-1335	8	27	.	.	PUNCT
can-1335	9	1	therefore	therefore	ADV
can-1335	9	2	,	,	PUNCT
can-1335	9	3	the	the	DET
can-1335	9	4	images	image	NOUN
can-1335	9	5	collected	collect	VERB
can-1335	9	6	under	under	ADP
can-1335	9	7	micro	micro	ADJ
can-1335	9	8	-	-	ADJ
can-1335	9	9	nano	nano	ADJ
can-1335	9	10	optical	optical	ADJ
can-1335	9	11	microscope	microscope	NOUN
can-1335	9	12	have	have	VERB
can-1335	9	13	poor	poor	ADJ
can-1335	9	14	resolution	resolution	NOUN
can-1335	9	15	,	,	PUNCT
can-1335	9	16	and	and	CCONJ
can-1335	9	17	unclear	unclear	ADJ
can-1335	9	18	edges	edge	NOUN
can-1335	9	19	,	,	PUNCT
can-1335	9	20	details	detail	NOUN
can-1335	9	21	and	and	CCONJ
can-1335	9	22	contours	contours	NOUN
can-1335	9	23	not	not	PART
can-1335	9	24	only	only	ADV
can-1335	9	25	affect	affect	VERB
can-1335	9	26	the	the	DET
can-1335	9	27	quality	quality	NOUN
can-1335	9	28	of	of	ADP
can-1335	9	29	the	the	DET
can-1335	9	30	image	image	NOUN
can-1335	9	31	,	,	PUNCT
can-1335	9	32	but	but	CCONJ
can-1335	9	33	also	also	ADV
can-1335	9	34	are	be	AUX
can-1335	9	35	not	not	PART
can-1335	9	36	conducive	conducive	ADJ
can-1335	9	37	to	to	ADP
can-1335	9	38	the	the	DET
can-1335	9	39	subsequent	subsequent	ADJ
can-1335	9	40	observation	observation	NOUN
can-1335	9	41	of	of	ADP
can-1335	9	42	“	"	PUNCT
can-1335	9	43	depth	depth	NOUN
can-1335	9	44	”	"	PUNCT
can-1335	9	45	and	and	CCONJ
can-1335	9	46	other	other	ADJ
can-1335	9	47	information[3	information[3	PROPN
can-1335	9	48	]	]	PUNCT
can-1335	9	49	.	.	PUNCT
can-1335	10	1	traditional	traditional	ADJ
can-1335	10	2	image	image	NOUN
can-1335	10	3	enhancement	enhancement	NOUN
can-1335	10	4	and	and	CCONJ
can-1335	10	5	preprocessing	preprocessing	NOUN
can-1335	10	6	methods	method	NOUN
can-1335	10	7	include	include	VERB
can-1335	10	8	histogram	histogram	NOUN
can-1335	10	9	equalization	equalization	NOUN
can-1335	10	10	algorithm[4	algorithm[4	PROPN
can-1335	10	11	]	]	PUNCT
can-1335	10	12	,	,	PUNCT
can-1335	10	13	retinex	retinex	PROPN
can-1335	10	14	algorithm[5,6	algorithm[5,6	PROPN
can-1335	10	15	]	]	PUNCT
can-1335	10	16	,	,	PUNCT
can-1335	10	17	homomorphic	homomorphic	ADJ
can-1335	10	18	filtering	filtering	NOUN
can-1335	10	19	algorithm[7	algorithm[7	PROPN
can-1335	10	20	]	]	X
can-1335	10	21	,	,	PUNCT
can-1335	10	22	wavelet	wavelet	NOUN
can-1335	10	23	transform	transform	VERB
can-1335	10	24	algorithm[8	algorithm[8	PROPN
can-1335	10	25	]	]	PUNCT
can-1335	10	26	,	,	PUNCT
can-1335	10	27	etc	etc	X
can-1335	10	28	.	.	X
can-1335	10	29	,	,	PUNCT
can-1335	10	30	which	which	PRON
can-1335	10	31	have	have	AUX
can-1335	10	32	made	make	VERB
can-1335	10	33	great	great	ADJ
can-1335	10	34	progress	progress	NOUN
can-1335	10	35	in	in	ADP
can-1335	10	36	recent	recent	ADJ
can-1335	10	37	years[4–8	years[4–8	NOUN
can-1335	10	38	]	]	X
can-1335	10	39	.	.	PUNCT
can-1335	11	1	however	however	ADV
can-1335	11	2	,	,	PUNCT
can-1335	11	3	they	they	PRON
can-1335	11	4	have	have	VERB
can-1335	11	5	their	their	PRON
can-1335	11	6	own	own	ADJ
can-1335	11	7	advantages	advantage	NOUN
can-1335	11	8	and	and	CCONJ
can-1335	11	9	disadvantages	disadvantage	NOUN
can-1335	11	10	,	,	PUNCT
can-1335	11	11	such	such	ADJ
can-1335	11	12	as	as	ADP
can-1335	11	13	serious	serious	ADJ
can-1335	11	14	block	block	NOUN
can-1335	11	15	effect	effect	NOUN
can-1335	11	16	and	and	CCONJ
can-1335	11	17	relatively	relatively	ADV
can-1335	11	18	complex	complex	ADJ
can-1335	11	19	operation	operation	NOUN
can-1335	11	20	in	in	ADP
can-1335	11	21	local	local	ADJ
can-1335	11	22	equalization	equalization	NOUN
can-1335	11	23	algorithm	algorithm	NOUN
can-1335	11	24	.	.	PUNCT
can-1335	12	1	global	global	ADJ
can-1335	12	2	equalization	equalization	PROPN
can-1335	12	3	algorithm	algorithm	PROPN
can-1335	12	4	is	be	AUX
can-1335	12	5	also	also	ADV
can-1335	12	6	easy	easy	ADJ
can-1335	12	7	to	to	PART
can-1335	12	8	cause	cause	VERB
can-1335	12	9	color	color	NOUN
can-1335	12	10	distortion	distortion	NOUN
can-1335	12	11	due	due	ADP
can-1335	12	12	to	to	ADP
can-1335	12	13	over	over	ADP
can-1335	12	14	fitting	fitting	ADJ
can-1335	12	15	.	.	PUNCT
can-1335	13	1	retinex	retinex	ADJ
can-1335	13	2	algorithm	algorithm	NOUN
can-1335	13	3	is	be	AUX
can-1335	13	4	based	base	VERB
can-1335	13	5	on	on	ADP
can-1335	13	6	color	color	NOUN
can-1335	13	7	constancy	constancy	NOUN
can-1335	13	8	.	.	PUNCT
can-1335	14	1	homomorphic	homomorphic	ADJ
can-1335	14	2	filtering	filter	VERB
can-1335	14	3	algorithm	algorithm	NOUN
can-1335	14	4	needs	need	VERB
can-1335	14	5	to	to	PART
can-1335	14	6	select	select	VERB
can-1335	14	7	reasonable	reasonable	ADJ
can-1335	14	8	filter	filter	NOUN
can-1335	14	9	parameters	parameter	NOUN
can-1335	14	10	in	in	ADP
can-1335	14	11	frequency	frequency	NOUN
can-1335	14	12	domain	domain	NOUN
can-1335	14	13	to	to	PART
can-1335	14	14	realize	realize	VERB
can-1335	14	15	image	image	NOUN
can-1335	14	16	enhancement	enhancement	NOUN
can-1335	14	17	,	,	PUNCT
can-1335	14	18	but	but	CCONJ
can-1335	14	19	it	it	PRON
can-1335	14	20	is	be	AUX
can-1335	14	21	very	very	ADV
can-1335	14	22	difficult	difficult	ADJ
can-1335	14	23	to	to	PART
can-1335	14	24	select	select	VERB
can-1335	14	25	appropriate	appropriate	ADJ
can-1335	14	26	parameters	parameter	NOUN
can-1335	14	27	.	.	PUNCT
can-1335	15	1	for	for	ADP
can-1335	15	2	the	the	DET
can-1335	15	3	defocus	defocus	ADJ
can-1335	15	4	image	image	NOUN
can-1335	15	5	collected	collect	VERB
can-1335	15	6	under	under	ADP
can-1335	15	7	the	the	DET
can-1335	15	8	microscope	microscope	NOUN
can-1335	15	9	,	,	PUNCT
can-1335	15	10	we	we	PRON
can-1335	15	11	hope	hope	VERB
can-1335	15	12	to	to	PART
can-1335	15	13	avoid	avoid	VERB
can-1335	15	14	adding	add	VERB
can-1335	15	15	new	new	ADJ
can-1335	15	16	noise	noise	NOUN
can-1335	15	17	as	as	ADV
can-1335	15	18	much	much	ADV
can-1335	15	19	as	as	ADP
can-1335	15	20	possible	possible	ADJ
can-1335	15	21	and	and	CCONJ
can-1335	15	22	make	make	VERB
can-1335	15	23	the	the	DET
can-1335	15	24	enhanced	enhanced	ADJ
can-1335	15	25	image	image	NOUN
can-1335	15	26	quality	quality	NOUN
can-1335	15	27	better	well	ADV
can-1335	15	28	.	.	PUNCT
can-1335	16	1	non	non	ADJ
can-1335	16	2	-	-	ADJ
can-1335	16	3	subsampled	subsampled	ADJ
can-1335	16	4	contourlet	contourlet	NOUN
can-1335	16	5	transform	transform	NOUN
can-1335	16	6	(	(	PUNCT
can-1335	16	7	nsct	nsct	NOUN
can-1335	16	8	)	)	PUNCT
can-1335	16	9	article	article	NOUN
can-1335	16	10	info	info	NOUN
can-1335	16	11	received	receive	VERB
can-1335	16	12	:	:	PUNCT
can-1335	16	13	27	27	NUM
can-1335	16	14	july	july	PROPN
can-1335	16	15	2021	2021	NUM
can-1335	16	16	accepted	accept	VERB
can-1335	16	17	:	:	PUNCT
can-1335	16	18	17	17	NUM
can-1335	16	19	september	september	PROPN
can-1335	16	20	2021	2021	NUM
can-1335	16	21	available	available	ADJ
can-1335	16	22	online	online	NOUN
can-1335	16	23	:	:	PUNCT
can-1335	16	24	24	24	NUM
can-1335	16	25	september	september	PROPN
can-1335	16	26	2021	2021	NUM
can-1335	16	27	copyright	copyright	NOUN
can-1335	16	28	copyright	copyright	NOUN
can-1335	16	29	©	©	PROPN
can-1335	16	30	2021	2021	NUM
can-1335	16	31	yongjun	yongjun	PROPN
can-1335	16	32	liu	liu	PROPN
can-1335	16	33	,	,	PUNCT
can-1335	16	34	et	et	PROPN
can-1335	16	35	al	al	PROPN
can-1335	16	36	.	.	PROPN
can-1335	16	37	enpress	enpress	PROPN
can-1335	16	38	publisher	publisher	PROPN
can-1335	16	39	llc	llc	PROPN
can-1335	16	40	.	.	PUNCT
can-1335	17	1	this	this	DET
can-1335	17	2	work	work	NOUN
can-1335	17	3	is	be	AUX
can-1335	17	4	licensed	license	VERB
can-1335	17	5	under	under	ADP
can-1335	17	6	the	the	DET
can-1335	17	7	creative	creative	ADJ
can-1335	17	8	commons	common	NOUN
can-1335	17	9	attributionnoncommercial	attributionnoncommercial	ADJ
can-1335	17	10	4.0	4.0	NUM
can-1335	17	11	international	international	ADJ
can-1335	17	12	license	license	NOUN
can-1335	17	13	(	(	PUNCT
can-1335	17	14	cc	cc	NOUN
can-1335	17	15	by	by	ADP
can-1335	17	16	-	-	PUNCT
can-1335	17	17	nc	nc	PROPN
can-1335	17	18	4.0	4.0	NUM
can-1335	17	19	)	)	PUNCT
can-1335	17	20	.	.	PUNCT
can-1335	18	1	https://creativecommons.org/licenses/bync/4.0/	https://creativecommons.org/licenses/bync/4.0/	PROPN
can-1335	18	2	50	50	NUM
can-1335	18	3	has	have	VERB
can-1335	18	4	superior	superior	ADJ
can-1335	18	5	transformation	transformation	NOUN
can-1335	18	6	function	function	NOUN
can-1335	18	7	due	due	ADP
can-1335	18	8	to	to	ADP
can-1335	18	9	multiscale	multiscale	ADJ
can-1335	18	10	and	and	CCONJ
can-1335	18	11	multi	multi	ADJ
can-1335	18	12	-	-	ADJ
can-1335	18	13	directional	directional	ADJ
can-1335	18	14	,	,	PUNCT
can-1335	18	15	and	and	CCONJ
can-1335	18	16	can	can	AUX
can-1335	18	17	obtain	obtain	VERB
can-1335	18	18	more	more	ADJ
can-1335	18	19	textures	texture	NOUN
can-1335	18	20	and	and	CCONJ
can-1335	18	21	edges	edge	NOUN
can-1335	18	22	of	of	ADP
can-1335	18	23	the	the	DET
can-1335	18	24	image[9,10	image[9,10	PROPN
can-1335	18	25	]	]	PUNCT
can-1335	18	26	.	.	PUNCT
can-1335	19	1	therefore	therefore	ADV
can-1335	19	2	,	,	PUNCT
can-1335	19	3	this	this	DET
can-1335	19	4	paper	paper	NOUN
can-1335	19	5	chooses	choose	VERB
can-1335	19	6	nsct	nsct	PROPN
can-1335	19	7	transform	transform	VERB
can-1335	19	8	.	.	PUNCT
can-1335	20	1	firstly	firstly	ADV
can-1335	20	2	,	,	PUNCT
can-1335	20	3	the	the	DET
can-1335	20	4	input	input	NOUN
can-1335	20	5	image	image	NOUN
can-1335	20	6	is	be	AUX
can-1335	20	7	transformed	transform	VERB
can-1335	20	8	from	from	ADP
can-1335	20	9	spatial	spatial	ADJ
can-1335	20	10	domain	domain	NOUN
can-1335	20	11	to	to	AUX
can-1335	20	12	frequency	frequency	NOUN
can-1335	20	13	domain	domain	NOUN
can-1335	20	14	to	to	PART
can-1335	20	15	obtain	obtain	VERB
can-1335	20	16	high	high	ADJ
can-1335	20	17	-	-	PUNCT
can-1335	20	18	frequency	frequency	NOUN
can-1335	20	19	sub	sub	NOUN
can-1335	20	20	-	-	NOUN
can-1335	20	21	band	band	ADJ
can-1335	20	22	and	and	CCONJ
can-1335	20	23	low	low	ADJ
can-1335	20	24	-	-	PUNCT
can-1335	20	25	frequency	frequency	NOUN
can-1335	20	26	sub	sub	NOUN
can-1335	20	27	-	-	NOUN
can-1335	20	28	band	band	ADJ
can-1335	20	29	;	;	PUNCT
can-1335	20	30	secondly	secondly	ADV
can-1335	20	31	,	,	PUNCT
can-1335	20	32	the	the	DET
can-1335	20	33	low	low	ADJ
can-1335	20	34	-	-	PUNCT
can-1335	20	35	frequency	frequency	NOUN
can-1335	20	36	coefficients	coefficient	NOUN
can-1335	20	37	are	be	AUX
can-1335	20	38	enhanced	enhance	VERB
can-1335	20	39	by	by	ADP
can-1335	20	40	anti	anti	ADJ
can-1335	20	41	-	-	ADJ
can-1335	20	42	sharpening	sharpening	ADJ
can-1335	20	43	mask	mask	NOUN
can-1335	20	44	algorithm	algorithm	NOUN
can-1335	20	45	,	,	PUNCT
can-1335	20	46	and	and	CCONJ
can-1335	20	47	the	the	DET
can-1335	20	48	high	high	ADJ
can-1335	20	49	-	-	PUNCT
can-1335	20	50	frequency	frequency	NOUN
can-1335	20	51	coefficients	coefficient	NOUN
can-1335	20	52	are	be	AUX
can-1335	20	53	enhanced	enhance	VERB
can-1335	20	54	by	by	ADP
can-1335	20	55	adaptive	adaptive	ADJ
can-1335	20	56	filtering	filter	VERB
can-1335	20	57	algorithm[11,12	algorithm[11,12	PROPN
can-1335	20	58	]	]	PUNCT
can-1335	20	59	;	;	PUNCT
can-1335	20	60	thirdly	thirdly	ADV
can-1335	20	61	,	,	PUNCT
can-1335	20	62	nsct	nsct	PROPN
can-1335	20	63	is	be	AUX
can-1335	20	64	used	use	VERB
can-1335	20	65	to	to	PART
can-1335	20	66	inverse	inverse	NOUN
can-1335	20	67	transform	transform	VERB
can-1335	20	68	the	the	DET
can-1335	20	69	image	image	NOUN
can-1335	20	70	to	to	PART
can-1335	20	71	construct	construct	VERB
can-1335	20	72	a	a	DET
can-1335	20	73	new	new	ADJ
can-1335	20	74	image	image	NOUN
can-1335	20	75	;	;	PUNCT
can-1335	20	76	finally	finally	ADV
can-1335	20	77	,	,	PUNCT
can-1335	20	78	in	in	ADP
can-1335	20	79	order	order	NOUN
can-1335	20	80	to	to	PART
can-1335	20	81	further	far	ADV
can-1335	20	82	enhance	enhance	VERB
can-1335	20	83	the	the	DET
can-1335	20	84	effect	effect	NOUN
can-1335	20	85	of	of	ADP
can-1335	20	86	image	image	NOUN
can-1335	20	87	details	detail	NOUN
can-1335	20	88	,	,	PUNCT
can-1335	20	89	the	the	DET
can-1335	20	90	anti	anti	ADJ
can-1335	20	91	-	-	ADJ
can-1335	20	92	sharpening	sharpening	ADJ
can-1335	20	93	mask	mask	NOUN
can-1335	20	94	algorithm	algorithm	NOUN
can-1335	20	95	is	be	AUX
can-1335	20	96	used	use	VERB
can-1335	20	97	for	for	ADP
can-1335	20	98	image	image	NOUN
can-1335	20	99	processing	processing	NOUN
can-1335	20	100	.	.	PUNCT
can-1335	21	1	2	2	X
can-1335	21	2	.	.	X
can-1335	21	3	nonsubsampledcontourlet	nonsubsampledcontourlet	PROPN
can-1335	21	4	transformation	transformation	NOUN
can-1335	21	5	(	(	PUNCT
can-1335	21	6	nsct	nsct	PROPN
can-1335	21	7	)	)	PUNCT
can-1335	21	8	nsct	nsct	PROPN
can-1335	21	9	is	be	AUX
can-1335	21	10	conducive	conducive	ADJ
can-1335	21	11	to	to	PART
can-1335	21	12	better	well	ADV
can-1335	21	13	maintain	maintain	VERB
can-1335	21	14	the	the	DET
can-1335	21	15	image	image	NOUN
can-1335	21	16	edge	edge	NOUN
can-1335	21	17	information	information	NOUN
can-1335	21	18	and	and	CCONJ
can-1335	21	19	contour	contour	NOUN
can-1335	21	20	and	and	CCONJ
can-1335	21	21	enhance	enhance	VERB
can-1335	21	22	the	the	DET
can-1335	21	23	translation	translation	NOUN
can-1335	21	24	invariance	invariance	NOUN
can-1335	21	25	of	of	ADP
can-1335	21	26	the	the	DET
can-1335	21	27	image	image	NOUN
can-1335	21	28	.	.	PUNCT
can-1335	22	1	it	it	PRON
can-1335	22	2	is	be	AUX
can-1335	22	3	divided	divide	VERB
can-1335	22	4	into	into	ADP
can-1335	22	5	two	two	NUM
can-1335	22	6	processes	process	NOUN
can-1335	22	7	:	:	PUNCT
can-1335	22	8	multi	multi	ADJ
can-1335	22	9	-	-	ADJ
can-1335	22	10	scale	scale	ADJ
can-1335	22	11	decomposition	decomposition	NOUN
can-1335	22	12	and	and	CCONJ
can-1335	22	13	directional	directional	ADJ
can-1335	22	14	filtering	filtering	NOUN
can-1335	22	15	.	.	PUNCT
can-1335	23	1	the	the	DET
can-1335	23	2	two	two	NUM
can-1335	23	3	processes	process	NOUN
can-1335	23	4	are	be	AUX
can-1335	23	5	independent	independent	ADJ
can-1335	23	6	of	of	ADP
can-1335	23	7	each	each	DET
can-1335	23	8	other	other	ADJ
can-1335	23	9	.	.	PUNCT
can-1335	24	1	figure	figure	NOUN
can-1335	24	2	1	1	NUM
can-1335	24	3	is	be	AUX
can-1335	24	4	the	the	DET
can-1335	24	5	overall	overall	ADJ
can-1335	24	6	structure	structure	NOUN
can-1335	24	7	diagram	diagram	NOUN
can-1335	24	8	.	.	PUNCT
can-1335	25	1	figure	figure	NOUN
can-1335	25	2	1	1	NUM
can-1335	25	3	.	.	PUNCT
can-1335	26	1	overall	overall	ADJ
can-1335	26	2	structure	structure	NOUN
can-1335	26	3	diagram	diagram	NOUN
can-1335	26	4	.	.	PUNCT
can-1335	27	1	in	in	ADP
can-1335	27	2	view	view	NOUN
can-1335	27	3	of	of	ADP
can-1335	27	4	the	the	DET
can-1335	27	5	translation	translation	NOUN
can-1335	27	6	invariance	invariance	NOUN
can-1335	27	7	of	of	ADP
can-1335	27	8	laplace	laplace	NOUN
can-1335	27	9	filter	filter	NOUN
can-1335	27	10	,	,	PUNCT
can-1335	27	11	the	the	DET
can-1335	27	12	multi	multi	ADJ
can-1335	27	13	-	-	ADJ
can-1335	27	14	scale	scale	ADJ
can-1335	27	15	nature	nature	NOUN
can-1335	27	16	of	of	ADP
can-1335	27	17	nsct	nsct	PROPN
can-1335	27	18	can	can	AUX
can-1335	27	19	be	be	AUX
can-1335	27	20	guaranteed	guarantee	VERB
can-1335	27	21	by	by	ADP
can-1335	27	22	using	use	VERB
can-1335	27	23	non	non	ADJ
can-1335	27	24	-	-	ADJ
can-1335	27	25	subsampled	subsampled	ADJ
can-1335	27	26	pyramid	pyramid	NOUN
can-1335	27	27	for	for	ADP
can-1335	27	28	image	image	NOUN
can-1335	27	29	decomposition	decomposition	NOUN
can-1335	27	30	.	.	PUNCT
can-1335	28	1	nsct	nsct	PROPN
can-1335	28	2	consists	consist	VERB
can-1335	28	3	of	of	ADP
can-1335	28	4	low	low	ADJ
can-1335	28	5	-	-	PUNCT
can-1335	28	6	pass	pass	NOUN
can-1335	28	7	decomposition	decomposition	NOUN
can-1335	28	8	filter	filter	NOUN
can-1335	28	9	module	module	NOUN
can-1335	28	10	h0(z	h0(z	NOUN
can-1335	28	11	)	)	PUNCT
can-1335	28	12	and	and	CCONJ
can-1335	28	13	high	high	ADJ
can-1335	28	14	pass	pass	NOUN
can-1335	28	15	decomposition	decomposition	NOUN
can-1335	28	16	filter	filter	NOUN
can-1335	28	17	module	module	NOUN
can-1335	28	18	h1(z	h1(z	NOUN
can-1335	28	19	)	)	PUNCT
can-1335	28	20	=	=	SYM
can-1335	29	1	1	1	NUM
can-1335	29	2	−	−	NUM
can-1335	29	3	h0(z	h0(z	NUM
can-1335	29	4	)	)	PUNCT
can-1335	29	5	,	,	PUNCT
can-1335	29	6	and	and	CCONJ
can-1335	29	7	some	some	DET
can-1335	29	8	low	low	ADJ
can-1335	29	9	-	-	PUNCT
can-1335	29	10	pass	pass	NOUN
can-1335	29	11	synthetic	synthetic	ADJ
can-1335	29	12	filtering	filter	VERB
can-1335	29	13	modules	module	NOUN
can-1335	29	14	,	,	PUNCT
can-1335	29	15	which	which	PRON
can-1335	29	16	are	be	AUX
can-1335	29	17	composed	compose	VERB
can-1335	29	18	of	of	ADP
can-1335	29	19	high	high	ADJ
can-1335	29	20	pass	pass	NOUN
can-1335	29	21	filtering	filtering	NOUN
can-1335	29	22	module	module	NOUN
can-1335	29	23	g0(z	g0(z	NOUN
can-1335	29	24	)	)	PUNCT
can-1335	29	25	=	=	SYM
can-1335	29	26	g1(z	g1(z	PROPN
can-1335	29	27	)	)	PUNCT
can-1335	29	28	=	=	SYM
can-1335	29	29	1	1	X
can-1335	29	30	.	.	X
can-1335	29	31	figure	figure	NOUN
can-1335	29	32	2	2	NUM
can-1335	29	33	.	.	PUNCT
can-1335	30	1	a	a	DET
can-1335	30	2	schematic	schematic	ADJ
can-1335	30	3	diagram	diagram	NOUN
can-1335	30	4	of	of	ADP
can-1335	30	5	the	the	DET
can-1335	30	6	decomposition	decomposition	NOUN
can-1335	30	7	of	of	ADP
can-1335	30	8	three	three	NUM
can-1335	30	9	layers	layer	NOUN
can-1335	30	10	of	of	ADP
can-1335	30	11	the	the	DET
can-1335	30	12	pyramid	pyramid	NOUN
can-1335	30	13	.	.	PUNCT
can-1335	31	1	figure	figure	NOUN
can-1335	31	2	2	2	NUM
can-1335	31	3	is	be	AUX
can-1335	31	4	the	the	DET
can-1335	31	5	decomposition	decomposition	NOUN
can-1335	31	6	diagram	diagram	NOUN
can-1335	31	7	of	of	ADP
can-1335	31	8	three	three	NUM
can-1335	31	9	layers	layer	NOUN
can-1335	31	10	of	of	ADP
can-1335	31	11	the	the	DET
can-1335	31	12	non	non	ADJ
can-1335	31	13	-	-	ADJ
can-1335	31	14	subsampled	subsampled	ADJ
can-1335	31	15	pyramid	pyramid	NOUN
can-1335	31	16	,	,	PUNCT
can-1335	31	17	in	in	ADP
can-1335	31	18	which	which	PRON
can-1335	31	19	the	the	DET
can-1335	31	20	ideal	ideal	ADJ
can-1335	31	21	band	band	NOUN
can-1335	31	22	-	-	PUNCT
can-1335	31	23	pass	pass	VERB
can-1335	31	24	support	support	NOUN
can-1335	31	25	region	region	NOUN
can-1335	31	26	of	of	ADP
can-1335	31	27	the	the	DET
can-1335	31	28	low	low	ADJ
can-1335	31	29	-	-	PUNCT
can-1335	31	30	pass	pass	NOUN
can-1335	31	31	filter	filter	NOUN
can-1335	31	32	decomposed	decompose	VERB
can-1335	31	33	in	in	ADP
can-1335	31	34	layer	layer	NOUN
can-1335	31	35	j	j	PROPN
can-1335	31	36	is	be	AUX
can-1335	31	37	[	[	X
can-1335	31	38	(	(	PUNCT
can-1335	31	39	π/2j	π/2j	NOUN
can-1335	31	40	)	)	PUNCT
can-1335	31	41	,	,	PUNCT
can-1335	31	42	(	(	PUNCT
can-1335	31	43	π/2j)]2	π/2j)]2	PROPN
can-1335	31	44	,	,	PUNCT
can-1335	31	45	while	while	SCONJ
can-1335	31	46	the	the	DET
can-1335	31	47	ideal	ideal	ADJ
can-1335	31	48	band	band	NOUN
can-1335	31	49	-	-	PUNCT
can-1335	31	50	pass	pass	NOUN
can-1335	31	51	region	region	NOUN
can-1335	31	52	of	of	ADP
can-1335	31	53	the	the	DET
can-1335	31	54	high	high	ADJ
can-1335	31	55	pass	pass	NOUN
can-1335	31	56	filter	filter	NOUN
can-1335	31	57	is	be	AUX
can-1335	31	58	the	the	DET
can-1335	31	59	complement	complement	NOUN
can-1335	31	60	of	of	ADP
can-1335	31	61	the	the	DET
can-1335	31	62	low	low	ADJ
can-1335	31	63	-	-	PUNCT
can-1335	31	64	pass	pass	NOUN
can-1335	31	65	sub	sub	NOUN
can-1335	31	66	-	-	ADJ
can-1335	31	67	bands	band	NOUN
can-1335	31	68	[	[	X
can-1335	31	69	(	(	PUNCT
can-1335	31	70	−π/2j	−π/2j	PROPN
can-1335	31	71	)	)	PUNCT
can-1335	31	72	,	,	PUNCT
can-1335	31	73	(	(	PUNCT
can-1335	31	74	π/2j)]2/[(−π/2j	π/2j)]2/[(−π/2j	NOUN
can-1335	31	75	)	)	PUNCT
can-1335	31	76	,	,	PUNCT
can-1335	31	77	(	(	PUNCT
can-1335	31	78	π/2j)]2	π/2j)]2	PROPN
can-1335	31	79	.	.	PUNCT
can-1335	32	1	non	non	ADJ
can-1335	32	2	-	-	ADJ
can-1335	32	3	subsampling	subsample	VERB
can-1335	32	4	direction	direction	NOUN
can-1335	32	5	filter	filter	NOUN
can-1335	32	6	banks	bank	NOUN
can-1335	32	7	:	:	PUNCT
can-1335	32	8	the	the	DET
can-1335	32	9	filter	filter	NOUN
can-1335	32	10	is	be	AUX
can-1335	32	11	based	base	VERB
can-1335	32	12	on	on	ADP
can-1335	32	13	two	two	NUM
can-1335	32	14	channels	channel	NOUN
can-1335	32	15	and	and	CCONJ
can-1335	32	16	decomposes	decompose	VERB
can-1335	32	17	the	the	DET
can-1335	32	18	coefficients	coefficient	NOUN
can-1335	32	19	into	into	ADP
can-1335	32	20	different	different	ADJ
can-1335	32	21	sub	sub	NOUN
can-1335	32	22	-	-	NOUN
can-1335	32	23	bands	band	NOUN
can-1335	32	24	through	through	ADP
can-1335	32	25	a	a	DET
can-1335	32	26	tree	tree	NOUN
can-1335	32	27	like	like	ADP
can-1335	32	28	structure	structure	NOUN
can-1335	32	29	.	.	PUNCT
can-1335	33	1	the	the	DET
can-1335	33	2	non	non	ADJ
can-1335	33	3	-	-	ADJ
can-1335	33	4	subsampling	subsample	VERB
can-1335	33	5	direction	direction	NOUN
can-1335	33	6	filter	filter	NOUN
can-1335	33	7	banks	bank	NOUN
can-1335	33	8	remove	remove	VERB
can-1335	33	9	the	the	DET
can-1335	33	10	down	down	ADV
can-1335	33	11	-	-	PUNCT
can-1335	33	12	sampling	sample	VERB
can-1335	33	13	module	module	NOUN
can-1335	33	14	and	and	CCONJ
can-1335	33	15	up	up	ADV
can-1335	33	16	-	-	PUNCT
can-1335	33	17	sampling	sample	VERB
can-1335	33	18	module	module	NOUN
can-1335	33	19	in	in	ADP
can-1335	33	20	the	the	DET
can-1335	33	21	directional	directional	ADJ
can-1335	33	22	filter	filter	NOUN
can-1335	33	23	bank	bank	NOUN
can-1335	33	24	,	,	PUNCT
can-1335	33	25	so	so	SCONJ
can-1335	33	26	that	that	SCONJ
can-1335	33	27	the	the	DET
can-1335	33	28	sampling	sampling	NOUN
can-1335	33	29	results	result	NOUN
can-1335	33	30	at	at	ADP
can-1335	33	31	different	different	ADJ
can-1335	33	32	scales	scale	NOUN
can-1335	33	33	are	be	AUX
can-1335	33	34	consistent	consistent	ADJ
can-1335	33	35	,	,	PUNCT
can-1335	33	36	and	and	CCONJ
can-1335	33	37	effectively	effectively	ADV
can-1335	33	38	improves	improve	VERB
can-1335	33	39	the	the	DET
can-1335	33	40	distortion	distortion	NOUN
can-1335	33	41	in	in	ADP
can-1335	33	42	the	the	DET
can-1335	33	43	sampling	sampling	NOUN
can-1335	33	44	process	process	NOUN
can-1335	33	45	.	.	PUNCT
can-1335	34	1	3	3	X
can-1335	34	2	.	.	X
can-1335	34	3	micro	micro	ADJ
can-1335	34	4	-	-	ADJ
can-1335	34	5	nano	nano	ADJ
can-1335	34	6	optical	optical	ADJ
can-1335	34	7	image	image	NOUN
can-1335	34	8	enhancement	enhancement	NOUN
can-1335	34	9	algorithm	algorithm	NOUN
can-1335	34	10	based	base	VERB
can-1335	34	11	on	on	ADP
can-1335	34	12	nsct	nsct	PROPN
can-1335	34	13	due	due	ADP
can-1335	34	14	to	to	ADP
can-1335	34	15	the	the	DET
can-1335	34	16	multi	multi	ADJ
can-1335	34	17	-	-	NOUN
can-1335	34	18	scale	scale	ADJ
can-1335	34	19	and	and	CCONJ
can-1335	34	20	multi	multi	ADJ
can-1335	34	21	-	-	ADJ
can-1335	34	22	directional	directional	ADJ
can-1335	34	23	nature	nature	NOUN
can-1335	34	24	,	,	PUNCT
can-1335	34	25	nsct	nsct	PROPN
can-1335	34	26	has	have	VERB
can-1335	34	27	superior	superior	ADJ
can-1335	34	28	transformation	transformation	NOUN
can-1335	34	29	function	function	NOUN
can-1335	34	30	and	and	CCONJ
can-1335	34	31	can	can	AUX
can-1335	34	32	effectively	effectively	ADV
can-1335	34	33	improve	improve	VERB
can-1335	34	34	the	the	DET
can-1335	34	35	image	image	NOUN
can-1335	34	36	quality	quality	NOUN
can-1335	34	37	.	.	PUNCT
can-1335	35	1	therefore	therefore	ADV
can-1335	35	2	,	,	PUNCT
can-1335	35	3	we	we	PRON
can-1335	35	4	propose	propose	VERB
can-1335	35	5	a	a	DET
can-1335	35	6	micro	micro	ADJ
can-1335	35	7	-	-	ADJ
can-1335	35	8	nano	nano	ADJ
can-1335	35	9	optical	optical	ADJ
can-1335	35	10	image	image	NOUN
can-1335	35	11	enhancement	enhancement	NOUN
can-1335	35	12	algorithm	algorithm	NOUN
can-1335	35	13	based	base	VERB
can-1335	35	14	on	on	ADP
can-1335	35	15	nsct	nsct	PROPN
can-1335	35	16	to	to	PART
can-1335	35	17	preprocess	preprocess	VERB
can-1335	35	18	the	the	DET
can-1335	35	19	defocus	defocus	ADJ
can-1335	35	20	image	image	NOUN
can-1335	35	21	obtained	obtain	VERB
can-1335	35	22	under	under	ADP
can-1335	35	23	the	the	DET
can-1335	35	24	microscope	microscope	NOUN
can-1335	35	25	.	.	PUNCT
can-1335	36	1	firstly	firstly	ADV
can-1335	36	2	,	,	PUNCT
can-1335	36	3	nsct	nsct	PROPN
can-1335	36	4	decomposes	decompose	VERB
can-1335	36	5	the	the	DET
can-1335	36	6	input	input	NOUN
can-1335	36	7	image	image	NOUN
can-1335	36	8	to	to	PART
can-1335	36	9	generate	generate	VERB
can-1335	36	10	a	a	DET
can-1335	36	11	series	series	NOUN
can-1335	36	12	of	of	ADP
can-1335	36	13	low	low	ADJ
can-1335	36	14	-	-	PUNCT
can-1335	36	15	frequency	frequency	NOUN
can-1335	36	16	and	and	CCONJ
can-1335	36	17	high	high	ADJ
can-1335	36	18	-	-	PUNCT
can-1335	36	19	frequency	frequency	NOUN
can-1335	36	20	components	component	NOUN
can-1335	36	21	;	;	PUNCT
can-1335	36	22	secondly	secondly	ADV
can-1335	36	23	,	,	PUNCT
can-1335	36	24	the	the	DET
can-1335	36	25	low	low	ADJ
can-1335	36	26	-	-	PUNCT
can-1335	36	27	frequency	frequency	NOUN
can-1335	36	28	coefficients	coefficient	NOUN
can-1335	36	29	are	be	AUX
can-1335	36	30	enhanced	enhance	VERB
can-1335	36	31	by	by	ADP
can-1335	36	32	anti	anti	ADJ
can-1335	36	33	-	-	ADJ
can-1335	36	34	sharpening	sharpening	ADJ
can-1335	36	35	mask	mask	NOUN
can-1335	36	36	algorithm	algorithm	NOUN
can-1335	36	37	;	;	PUNCT
can-1335	36	38	adaptive	adaptive	ADJ
can-1335	36	39	filtering	filter	VERB
can-1335	36	40	algorithm	algorithm	NOUN
can-1335	36	41	is	be	AUX
can-1335	36	42	used	use	VERB
can-1335	36	43	for	for	ADP
can-1335	36	44	high	high	ADJ
can-1335	36	45	-	-	PUNCT
can-1335	36	46	frequency	frequency	NOUN
can-1335	36	47	coefficients	coefficient	NOUN
can-1335	36	48	;	;	PUNCT
can-1335	36	49	finally	finally	ADV
can-1335	36	50	,	,	PUNCT
can-1335	36	51	all	all	DET
can-1335	36	52	sub	sub	NOUN
can-1335	36	53	-	-	ADJ
can-1335	36	54	bands	band	NOUN
can-1335	36	55	are	be	AUX
can-1335	36	56	reconstructed	reconstruct	VERB
can-1335	36	57	by	by	ADP
can-1335	36	58	nsct	nsct	PROPN
can-1335	36	59	in51	in51	PROPN
can-1335	36	60	verse	verse	NOUN
can-1335	36	61	transform	transform	NOUN
can-1335	36	62	.	.	PUNCT
can-1335	37	1	3.1	3.1	NUM
can-1335	37	2	nsct	nsct	ADJ
can-1335	37	3	low	low	ADJ
can-1335	37	4	-	-	PUNCT
can-1335	37	5	frequency	frequency	NOUN
can-1335	37	6	coefficient	coefficient	NOUN
can-1335	37	7	transformation	transformation	NOUN
can-1335	37	8	the	the	DET
can-1335	37	9	low	low	ADJ
can-1335	37	10	-	-	PUNCT
can-1335	37	11	frequency	frequency	NOUN
can-1335	37	12	coefficients	coefficient	NOUN
can-1335	37	13	obtained	obtain	VERB
can-1335	37	14	by	by	ADP
can-1335	37	15	nsct	nsct	ADJ
can-1335	37	16	decomposition	decomposition	NOUN
can-1335	37	17	contain	contain	VERB
can-1335	37	18	some	some	DET
can-1335	37	19	basic	basic	ADJ
can-1335	37	20	information	information	NOUN
can-1335	37	21	in	in	ADP
can-1335	37	22	the	the	DET
can-1335	37	23	image	image	NOUN
can-1335	37	24	.	.	PUNCT
can-1335	38	1	in	in	ADP
can-1335	38	2	this	this	DET
can-1335	38	3	paper	paper	NOUN
can-1335	38	4	,	,	PUNCT
can-1335	38	5	the	the	DET
can-1335	38	6	anti	anti	ADJ
can-1335	38	7	-	-	ADJ
can-1335	38	8	sharpening	sharpening	ADJ
can-1335	38	9	mask	mask	NOUN
can-1335	38	10	algorithm	algorithm	NOUN
can-1335	38	11	is	be	AUX
can-1335	38	12	used	use	VERB
can-1335	38	13	to	to	PART
can-1335	38	14	enhance	enhance	VERB
can-1335	38	15	it	it	PRON
can-1335	38	16	.	.	PUNCT
can-1335	39	1	(	(	PUNCT
can-1335	39	2	1	1	X
can-1335	39	3	)	)	PUNCT
can-1335	39	4	where	where	SCONJ
can-1335	39	5	,	,	PUNCT
can-1335	39	6	in	in	ADP
can-1335	39	7	the	the	DET
can-1335	39	8	formula	formula	NOUN
can-1335	39	9	represent	represent	VERB
can-1335	39	10	the	the	DET
can-1335	39	11	input	input	NOUN
can-1335	39	12	image	image	NOUN
can-1335	39	13	and	and	CCONJ
can-1335	39	14	output	output	NOUN
can-1335	39	15	image	image	NOUN
can-1335	39	16	respectively	respectively	ADV
can-1335	39	17	,	,	PUNCT
can-1335	39	18	and	and	CCONJ
can-1335	39	19	k	k	PROPN
can-1335	39	20	is	be	AUX
can-1335	39	21	the	the	DET
can-1335	39	22	adjustment	adjustment	NOUN
can-1335	39	23	coefficient	coefficient	NOUN
can-1335	39	24	,	,	PUNCT
can-1335	39	25	taking	take	VERB
can-1335	39	26	2	2	NUM
can-1335	39	27	.	.	PUNCT
can-1335	40	1	is	be	AUX
can-1335	40	2	the	the	DET
can-1335	40	3	blurred	blurred	ADJ
can-1335	40	4	image	image	NOUN
can-1335	40	5	or	or	CCONJ
can-1335	40	6	approximate	approximate	ADJ
can-1335	40	7	image	image	NOUN
can-1335	40	8	,	,	PUNCT
can-1335	40	9	which	which	PRON
can-1335	40	10	can	can	AUX
can-1335	40	11	be	be	AUX
can-1335	40	12	obtained	obtain	VERB
can-1335	40	13	from	from	ADP
can-1335	40	14	equation	equation	NOUN
can-1335	40	15	(	(	PUNCT
can-1335	40	16	2	2	NUM
can-1335	40	17	)	)	PUNCT
can-1335	40	18	.	.	PUNCT
can-1335	41	1	(	(	PUNCT
can-1335	41	2	2	2	X
can-1335	41	3	)	)	PUNCT
can-1335	41	4	where	where	SCONJ
can-1335	41	5	,	,	PUNCT
can-1335	41	6	w	w	PROPN
can-1335	41	7	is	be	AUX
can-1335	41	8	the	the	DET
can-1335	41	9	filter	filter	NOUN
can-1335	41	10	window	window	NOUN
can-1335	41	11	.	.	PUNCT
can-1335	42	1	3.2	3.2	NUM
can-1335	42	2	nsct	nsct	PROPN
can-1335	42	3	high	high	ADJ
can-1335	42	4	-	-	PUNCT
can-1335	42	5	frequency	frequency	NOUN
can-1335	42	6	coefficient	coefficient	NOUN
can-1335	42	7	conversion	conversion	NOUN
can-1335	42	8	high	high	ADJ
can-1335	42	9	-	-	PUNCT
can-1335	42	10	frequency	frequency	NOUN
can-1335	42	11	coefficients	coefficient	NOUN
can-1335	42	12	represent	represent	VERB
can-1335	42	13	detailed	detailed	ADJ
can-1335	42	14	information	information	NOUN
can-1335	42	15	,	,	PUNCT
can-1335	42	16	such	such	ADJ
can-1335	42	17	as	as	ADP
can-1335	42	18	image	image	NOUN
can-1335	42	19	edges	edge	NOUN
can-1335	42	20	and	and	CCONJ
can-1335	42	21	textures	texture	NOUN
can-1335	42	22	,	,	PUNCT
can-1335	42	23	but	but	CCONJ
can-1335	42	24	also	also	ADV
can-1335	42	25	contain	contain	VERB
can-1335	42	26	a	a	DET
can-1335	42	27	lot	lot	NOUN
can-1335	42	28	of	of	ADP
can-1335	42	29	noise	noise	NOUN
can-1335	42	30	.	.	PUNCT
can-1335	43	1	high	high	ADJ
can-1335	43	2	-	-	PUNCT
can-1335	43	3	frequency	frequency	NOUN
can-1335	43	4	coefficient	coefficient	NOUN
can-1335	43	5	transformation	transformation	NOUN
can-1335	43	6	aims	aim	VERB
can-1335	43	7	to	to	PART
can-1335	43	8	achieve	achieve	VERB
can-1335	43	9	enhancement	enhancement	NOUN
can-1335	43	10	based	base	VERB
can-1335	43	11	on	on	ADP
can-1335	43	12	noise	noise	NOUN
can-1335	43	13	reduction	reduction	NOUN
can-1335	43	14	.	.	PUNCT
can-1335	44	1	high	high	ADJ
can-1335	44	2	-	-	PUNCT
can-1335	44	3	frequency	frequency	NOUN
can-1335	44	4	coefficients	coefficient	NOUN
can-1335	44	5	with	with	ADP
can-1335	44	6	large	large	ADJ
can-1335	44	7	values	value	NOUN
can-1335	44	8	contain	contain	VERB
can-1335	44	9	image	image	NOUN
can-1335	44	10	edge	edge	NOUN
can-1335	44	11	details	detail	NOUN
can-1335	44	12	and	and	CCONJ
can-1335	44	13	should	should	AUX
can-1335	44	14	be	be	AUX
can-1335	44	15	retained	retain	VERB
can-1335	44	16	.	.	PUNCT
can-1335	45	1	noise	noise	NOUN
can-1335	45	2	is	be	AUX
can-1335	45	3	distributed	distribute	VERB
can-1335	45	4	in	in	ADP
can-1335	45	5	nsct	nsct	ADJ
can-1335	45	6	high	high	ADJ
can-1335	45	7	-	-	PUNCT
can-1335	45	8	frequency	frequency	NOUN
can-1335	45	9	coefficients	coefficient	NOUN
can-1335	45	10	with	with	ADP
can-1335	45	11	small	small	ADJ
can-1335	45	12	values	value	NOUN
can-1335	45	13	.	.	PUNCT
can-1335	46	1	threshold	threshold	NOUN
can-1335	46	2	noise	noise	NOUN
can-1335	46	3	reduction	reduction	NOUN
can-1335	46	4	is	be	AUX
can-1335	46	5	to	to	PART
can-1335	46	6	set	set	VERB
can-1335	46	7	an	an	DET
can-1335	46	8	appropriate	appropriate	ADJ
can-1335	46	9	threshold	threshold	NOUN
can-1335	46	10	,	,	PUNCT
can-1335	46	11	and	and	CCONJ
can-1335	46	12	noise	noise	NOUN
can-1335	46	13	reduction	reduction	NOUN
can-1335	46	14	is	be	AUX
can-1335	46	15	performed	perform	VERB
can-1335	46	16	by	by	ADP
can-1335	46	17	comparing	compare	VERB
can-1335	46	18	the	the	DET
can-1335	46	19	absolute	absolute	ADJ
can-1335	46	20	value	value	NOUN
can-1335	46	21	of	of	ADP
can-1335	46	22	nsct	nsct	PROPN
can-1335	46	23	coefficient	coefficient	NOUN
can-1335	46	24	with	with	ADP
can-1335	46	25	the	the	DET
can-1335	46	26	threshold	threshold	NOUN
can-1335	46	27	.	.	PUNCT
can-1335	47	1	when	when	SCONJ
can-1335	47	2	the	the	DET
can-1335	47	3	absolute	absolute	ADJ
can-1335	47	4	value	value	NOUN
can-1335	47	5	is	be	AUX
can-1335	47	6	greater	great	ADJ
can-1335	47	7	than	than	ADP
can-1335	47	8	the	the	DET
can-1335	47	9	threshold	threshold	NOUN
can-1335	47	10	,	,	PUNCT
can-1335	47	11	nsct	nsct	PROPN
can-1335	47	12	coefficient	coefficient	NOUN
can-1335	47	13	is	be	AUX
can-1335	47	14	considered	consider	VERB
can-1335	47	15	to	to	PART
can-1335	47	16	contain	contain	VERB
can-1335	47	17	important	important	ADJ
can-1335	47	18	image	image	NOUN
can-1335	47	19	information	information	NOUN
can-1335	47	20	and	and	CCONJ
can-1335	47	21	is	be	AUX
can-1335	47	22	retained	retain	VERB
can-1335	47	23	.	.	PUNCT
can-1335	48	1	when	when	SCONJ
can-1335	48	2	the	the	DET
can-1335	48	3	absolute	absolute	ADJ
can-1335	48	4	value	value	NOUN
can-1335	48	5	of	of	ADP
can-1335	48	6	nsct	nsct	PROPN
can-1335	48	7	coefficient	coefficient	NOUN
can-1335	48	8	decreases	decrease	NOUN
can-1335	48	9	or	or	CCONJ
can-1335	48	10	becomes	become	VERB
can-1335	48	11	0	0	NUM
can-1335	48	12	accordingly	accordingly	ADV
can-1335	48	13	,	,	PUNCT
can-1335	48	14	it	it	PRON
can-1335	48	15	is	be	AUX
can-1335	48	16	used	use	VERB
can-1335	48	17	to	to	PART
can-1335	48	18	filter	filter	NOUN
can-1335	48	19	noise	noise	NOUN
can-1335	48	20	.	.	PUNCT
can-1335	49	1	by	by	ADP
can-1335	49	2	using	use	VERB
can-1335	49	3	the	the	DET
can-1335	49	4	coefficient	coefficient	NOUN
can-1335	49	5	processed	process	VERB
can-1335	49	6	by	by	ADP
can-1335	49	7	threshold	threshold	NOUN
can-1335	49	8	,	,	PUNCT
can-1335	49	9	the	the	DET
can-1335	49	10	nsct	nsct	PROPN
can-1335	49	11	inverse	inverse	NOUN
can-1335	49	12	transformation	transformation	NOUN
can-1335	49	13	is	be	AUX
can-1335	49	14	used	use	VERB
can-1335	49	15	to	to	PART
can-1335	49	16	reconstruct	reconstruct	VERB
can-1335	49	17	the	the	DET
can-1335	49	18	image	image	NOUN
can-1335	49	19	,	,	PUNCT
can-1335	49	20	so	so	SCONJ
can-1335	49	21	as	as	SCONJ
can-1335	49	22	to	to	PART
can-1335	49	23	eliminate	eliminate	VERB
can-1335	49	24	the	the	DET
can-1335	49	25	noise	noise	NOUN
can-1335	49	26	.	.	PUNCT
can-1335	50	1	threshold	threshold	NOUN
can-1335	50	2	de	de	ADJ
can-1335	50	3	-	-	ADJ
can-1335	50	4	noising	noising	ADJ
can-1335	50	5	eliminates	eliminate	VERB
can-1335	50	6	the	the	DET
can-1335	50	7	noise	noise	NOUN
can-1335	50	8	and	and	CCONJ
can-1335	50	9	retains	retain	VERB
can-1335	50	10	the	the	DET
can-1335	50	11	image	image	NOUN
can-1335	50	12	coefficient	coefficient	NOUN
can-1335	50	13	as	as	ADV
can-1335	50	14	much	much	ADV
can-1335	50	15	as	as	ADP
can-1335	50	16	possible	possible	ADJ
can-1335	50	17	.	.	PUNCT
can-1335	51	1	therefore	therefore	ADV
can-1335	51	2	,	,	PUNCT
can-1335	51	3	the	the	DET
can-1335	51	4	key	key	NOUN
can-1335	51	5	of	of	ADP
can-1335	51	6	de	de	NOUN
can-1335	51	7	-	-	NOUN
can-1335	51	8	noising	noising	NOUN
can-1335	51	9	is	be	AUX
can-1335	51	10	to	to	PART
can-1335	51	11	determine	determine	VERB
can-1335	51	12	the	the	DET
can-1335	51	13	threshold	threshold	NOUN
can-1335	51	14	.	.	PUNCT
can-1335	52	1	less	less	ADJ
can-1335	52	2	than	than	SCONJ
can-1335	52	3	the	the	DET
can-1335	52	4	threshold	threshold	NOUN
can-1335	52	5	is	be	AUX
can-1335	52	6	regarded	regard	VERB
can-1335	52	7	as	as	ADP
can-1335	52	8	the	the	DET
can-1335	52	9	noise	noise	NOUN
can-1335	52	10	to	to	PART
can-1335	52	11	be	be	AUX
can-1335	52	12	suppressed	suppress	VERB
can-1335	52	13	,	,	PUNCT
can-1335	52	14	and	and	CCONJ
can-1335	52	15	more	more	ADJ
can-1335	52	16	than	than	SCONJ
can-1335	52	17	the	the	DET
can-1335	52	18	threshold	threshold	NOUN
can-1335	52	19	is	be	AUX
can-1335	52	20	regarded	regard	VERB
can-1335	52	21	as	as	ADP
can-1335	52	22	the	the	DET
can-1335	52	23	edge	edge	NOUN
can-1335	52	24	information	information	NOUN
can-1335	52	25	to	to	PART
can-1335	52	26	be	be	AUX
can-1335	52	27	enhanced	enhance	VERB
can-1335	52	28	.	.	PUNCT
can-1335	53	1	(	(	PUNCT
can-1335	53	2	3	3	X
can-1335	53	3	)	)	PUNCT
can-1335	53	4	t1,k	t1,k	PROPN
can-1335	53	5	is	be	AUX
can-1335	53	6	the	the	DET
can-1335	53	7	noise	noise	NOUN
can-1335	53	8	threshold	threshold	NOUN
can-1335	53	9	in	in	ADP
can-1335	53	10	the	the	DET
can-1335	53	11	k	k	PROPN
can-1335	53	12	direction	direction	NOUN
can-1335	53	13	of	of	ADP
can-1335	53	14	the	the	DET
can-1335	53	15	1	1	NUM
can-1335	53	16	layer	layer	NOUN
can-1335	53	17	,	,	PUNCT
can-1335	53	18	and	and	CCONJ
can-1335	53	19	p	p	NOUN
can-1335	53	20	is	be	AUX
can-1335	53	21	the	the	DET
can-1335	53	22	coefficient	coefficient	NOUN
can-1335	53	23	value	value	NOUN
can-1335	53	24	of	of	ADP
can-1335	53	25	the	the	DET
can-1335	53	26	subband	subband	NOUN
can-1335	53	27	.	.	PUNCT
can-1335	54	1	in	in	ADP
can-1335	54	2	this	this	DET
can-1335	54	3	paper	paper	NOUN
can-1335	54	4	,	,	PUNCT
can-1335	54	5	an	an	DET
can-1335	54	6	adaptive	adaptive	ADJ
can-1335	54	7	filtering	filter	VERB
can-1335	54	8	algorithm	algorithm	NOUN
can-1335	54	9	based	base	VERB
can-1335	54	10	on	on	ADP
can-1335	54	11	bayesshrink	bayesshrink	NOUN
can-1335	54	12	is	be	AUX
can-1335	54	13	used	use	VERB
can-1335	54	14	.	.	PUNCT
can-1335	55	1	the	the	DET
can-1335	55	2	threshold	threshold	NOUN
can-1335	55	3	can	can	AUX
can-1335	55	4	be	be	AUX
can-1335	55	5	calculated	calculate	VERB
can-1335	55	6	by	by	ADP
can-1335	55	7	equation	equation	NOUN
can-1335	55	8	(	(	PUNCT
can-1335	55	9	4	4	NUM
can-1335	55	10	)	)	PUNCT
can-1335	55	11	.	.	PUNCT
can-1335	56	1	(	(	PUNCT
can-1335	56	2	4	4	X
can-1335	56	3	)	)	PUNCT
can-1335	56	4	where	where	SCONJ
can-1335	56	5	,	,	PUNCT
can-1335	56	6	c	c	PROPN
can-1335	56	7	is	be	AUX
can-1335	56	8	a	a	DET
can-1335	56	9	constant	constant	ADJ
can-1335	56	10	between	between	ADP
can-1335	56	11	0	0	NUM
can-1335	56	12	and	and	CCONJ
can-1335	56	13	1	1	NUM
can-1335	56	14	,	,	PUNCT
can-1335	56	15	σ2	σ2	NOUN
can-1335	56	16	is	be	AUX
can-1335	56	17	the	the	DET
can-1335	56	18	noise	noise	NOUN
can-1335	56	19	variance	variance	NOUN
can-1335	56	20	,	,	PUNCT
can-1335	56	21	and	and	CCONJ
can-1335	56	22	σ2	σ2	PROPN
can-1335	56	23	x	x	PUNCT
can-1335	56	24	is	be	AUX
can-1335	56	25	the	the	DET
can-1335	56	26	signal	signal	ADJ
can-1335	56	27	variance	variance	NOUN
can-1335	56	28	.	.	PUNCT
can-1335	57	1	the	the	DET
can-1335	57	2	standard	standard	ADJ
can-1335	57	3	deviation	deviation	NOUN
can-1335	57	4	of	of	ADP
can-1335	57	5	noise	noise	NOUN
can-1335	57	6	can	can	AUX
can-1335	57	7	be	be	AUX
can-1335	57	8	calculated	calculate	VERB
can-1335	57	9	by	by	ADP
can-1335	57	10	equation	equation	NOUN
can-1335	57	11	(	(	PUNCT
can-1335	57	12	5	5	NUM
can-1335	57	13	)	)	PUNCT
can-1335	57	14	.	.	PUNCT
can-1335	58	1	(	(	PUNCT
can-1335	58	2	5	5	NUM
can-1335	58	3	)	)	PUNCT
can-1335	58	4	where	where	SCONJ
can-1335	58	5	,	,	PUNCT
can-1335	58	6	cj	cj	PROPN
can-1335	58	7	,	,	PUNCT
can-1335	58	8	k	k	PROPN
can-1335	58	9	is	be	AUX
can-1335	58	10	the	the	DET
can-1335	58	11	high	high	ADJ
can-1335	58	12	-	-	PUNCT
can-1335	58	13	frequency	frequency	NOUN
can-1335	58	14	coefficient	coefficient	NOUN
can-1335	58	15	of	of	ADP
can-1335	58	16	the	the	DET
can-1335	58	17	first	first	ADJ
can-1335	58	18	layer	layer	NOUN
can-1335	58	19	of	of	ADP
can-1335	58	20	the	the	DET
can-1335	58	21	image	image	NOUN
can-1335	58	22	after	after	ADP
can-1335	58	23	nsct	nsct	PROPN
can-1335	58	24	decomposition	decomposition	NOUN
can-1335	58	25	,	,	PUNCT
can-1335	58	26	i.e.	i.e.	X
can-1335	58	27	,	,	PUNCT
can-1335	58	28	take	take	VERB
can-1335	58	29	the	the	DET
can-1335	58	30	median	median	NOUN
can-1335	58	31	of	of	ADP
can-1335	58	32	the	the	DET
can-1335	58	33	absolute	absolute	ADJ
can-1335	58	34	value	value	NOUN
can-1335	58	35	of	of	ADP
can-1335	58	36	nsct	nsct	PROPN
can-1335	58	37	coefficients	coefficient	NOUN
can-1335	58	38	,	,	PUNCT
can-1335	58	39	and	and	CCONJ
can-1335	58	40	calculate	calculate	VERB
can-1335	58	41	the	the	DET
can-1335	58	42	noise	noise	NOUN
can-1335	58	43	standard	standard	ADJ
can-1335	58	44	deviation	deviation	NOUN
can-1335	58	45	with	with	ADP
can-1335	58	46	0.6745	0.6745	NUM
can-1335	58	47	as	as	SCONJ
can-1335	58	48	the	the	DET
can-1335	58	49	adjustment	adjustment	NOUN
can-1335	58	50	coefficient	coefficient	NOUN
can-1335	58	51	.	.	PUNCT
can-1335	59	1	(	(	PUNCT
can-1335	59	2	6	6	NUM
can-1335	59	3	)	)	PUNCT
can-1335	59	4	where	where	SCONJ
can-1335	59	5	,	,	PUNCT
can-1335	59	6	m	m	VERB
can-1335	59	7	and	and	CCONJ
can-1335	59	8	n	n	PRON
can-1335	59	9	represent	represent	VERB
can-1335	59	10	the	the	DET
can-1335	59	11	length	length	NOUN
can-1335	59	12	and	and	CCONJ
can-1335	59	13	width	width	NOUN
can-1335	59	14	of	of	ADP
can-1335	59	15	the	the	DET
can-1335	59	16	image	image	NOUN
can-1335	59	17	respectively	respectively	ADV
can-1335	59	18	,	,	PUNCT
can-1335	59	19	and	and	CCONJ
can-1335	59	20	the	the	DET
can-1335	59	21	coefficient	coefficient	NOUN
can-1335	59	22	located	locate	VERB
can-1335	59	23	in	in	ADP
can-1335	59	24	x(i	x(i	PROPN
can-1335	59	25	,	,	PUNCT
can-1335	59	26	j	j	NOUN
can-1335	59	27	)	)	PUNCT
can-1335	59	28	in	in	ADP
can-1335	59	29	the	the	DET
can-1335	59	30	k	k	PROPN
can-1335	59	31	direction	direction	NOUN
can-1335	59	32	image	image	NOUN
can-1335	59	33	of	of	ADP
can-1335	59	34	layer	layer	NOUN
can-1335	59	35	1	1	NUM
can-1335	59	36	is	be	AUX
can-1335	59	37	xi	xi	NOUN
can-1335	59	38	,	,	PUNCT
can-1335	59	39	j(1	j(1	NOUN
can-1335	59	40	,	,	PUNCT
can-1335	59	41	k	k	NOUN
can-1335	59	42	)	)	PUNCT
can-1335	59	43	.	.	PUNCT
can-1335	60	1	the	the	DET
can-1335	60	2	obtained	obtain	VERB
can-1335	60	3	threshold	threshold	NOUN
can-1335	60	4	is	be	AUX
can-1335	60	5	used	use	VERB
can-1335	60	6	to	to	PART
can-1335	60	7	suppress	suppress	VERB
can-1335	60	8	the	the	DET
can-1335	60	9	noise	noise	NOUN
can-1335	60	10	.	.	PUNCT
can-1335	61	1	(	(	PUNCT
can-1335	61	2	7	7	NUM
can-1335	61	3	)	)	PUNCT
can-1335	61	4	where	where	SCONJ
can-1335	61	5	,	,	PUNCT
can-1335	61	6	xi	xi	PROPN
can-1335	61	7	,	,	PUNCT
can-1335	61	8	j	j	PROPN
can-1335	61	9	is	be	AUX
can-1335	61	10	the	the	DET
can-1335	61	11	coefficient	coefficient	NOUN
can-1335	61	12	of	of	ADP
can-1335	61	13	the	the	DET
can-1335	61	14	high	high	ADJ
can-1335	61	15	-	-	PUNCT
can-1335	61	16	frequency	frequency	NOUN
can-1335	61	17	sub	sub	NOUN
can-1335	61	18	-	-	NOUN
can-1335	61	19	band	band	NOUN
can-1335	61	20	of	of	ADP
can-1335	61	21	the	the	DET
can-1335	61	22	original	original	ADJ
can-1335	61	23	image	image	NOUN
can-1335	61	24	and	and	CCONJ
can-1335	61	25	is	be	AUX
can-1335	61	26	the	the	DET
can-1335	61	27	coefficient	coefficient	NOUN
can-1335	61	28	of	of	ADP
can-1335	61	29	the	the	DET
can-1335	61	30	processed	process	VERB
can-1335	61	31	image	image	NOUN
can-1335	61	32	.	.	PUNCT
can-1335	62	1	the	the	DET
can-1335	62	2	main	main	ADJ
can-1335	62	3	steps	step	NOUN
can-1335	62	4	of	of	ADP
can-1335	62	5	the	the	DET
can-1335	62	6	algorithm	algorithm	NOUN
can-1335	62	7	are	be	AUX
can-1335	62	8	as	as	SCONJ
can-1335	62	9	follows	follow	VERB
can-1335	62	10	:	:	PUNCT
can-1335	62	11	step	step	NOUN
can-1335	62	12	1	1	NUM
can-1335	62	13	:	:	PUNCT
can-1335	62	14	nsct	nsct	PROPN
can-1335	62	15	decomposes	decompose	VERB
can-1335	62	16	the	the	DET
can-1335	62	17	defocus	defocus	ADJ
can-1335	62	18	image	image	NOUN
can-1335	62	19	obtained	obtain	VERB
can-1335	62	20	under	under	ADP
can-1335	62	21	the	the	DET
can-1335	62	22	microscope	microscope	NOUN
can-1335	62	23	to	to	PART
can-1335	62	24	generate	generate	VERB
can-1335	62	25	a	a	DET
can-1335	62	26	series	series	NOUN
can-1335	62	27	of	of	ADP
can-1335	62	28	low	low	ADJ
can-1335	62	29	-	-	PUNCT
can-1335	62	30	frequency	frequency	NOUN
can-1335	62	31	and	and	CCONJ
can-1335	62	32	high	high	ADJ
can-1335	62	33	-	-	PUNCT
can-1335	62	34	frequency	frequency	NOUN
can-1335	62	35	components	component	NOUN
can-1335	62	36	;	;	PUNCT
can-1335	62	37	step	step	NOUN
can-1335	62	38	2	2	NUM
can-1335	62	39	:	:	PUNCT
can-1335	62	40	calculate	calculate	VERB
can-1335	62	41	the	the	DET
can-1335	62	42	low	low	ADJ
can-1335	62	43	-	-	PUNCT
can-1335	62	44	frequency	frequency	NOUN
can-1335	62	45	coefficient	coefficient	NOUN
can-1335	62	46	obtained	obtain	VERB
can-1335	62	47	by	by	ADP
can-1335	62	48	equation	equation	NOUN
can-1335	62	49	(	(	PUNCT
can-1335	62	50	1	1	NUM
can-1335	62	51	)	)	PUNCT
can-1335	62	52	to	to	PART
can-1335	62	53	obtain	obtain	VERB
can-1335	62	54	a	a	DET
can-1335	62	55	higher	high	ADJ
can-1335	62	56	contrast	contrast	NOUN
can-1335	62	57	of	of	ADP
can-1335	62	58	the	the	DET
can-1335	62	59	image	image	NOUN
can-1335	62	60	;	;	PUNCT
can-1335	62	61	step	step	NOUN
can-1335	62	62	3	3	NUM
can-1335	62	63	:	:	PUNCT
can-1335	62	64	adaptive	adaptive	ADJ
can-1335	62	65	filtering	filtering	NOUN
can-1335	62	66	algorithm	algorithm	NOUN
can-1335	62	67	is	be	AUX
can-1335	62	68	used	use	VERB
can-1335	62	69	for	for	ADP
can-1335	62	70	threshold	threshold	NOUN
can-1335	62	71	de	de	X
can-1335	62	72	-	-	ADJ
can-1335	62	73	noising	noising	NOUN
can-1335	62	74	of	of	ADP
can-1335	62	75	high	high	ADJ
can-1335	62	76	-	-	PUNCT
can-1335	62	77	frequency	frequency	NOUN
can-1335	62	78	coefficients	coefficient	NOUN
can-1335	62	79	;	;	PUNCT
can-1335	62	80	52	52	NUM
can-1335	62	81	step	step	NOUN
can-1335	62	82	4	4	NUM
can-1335	62	83	:	:	PUNCT
can-1335	62	84	the	the	DET
can-1335	62	85	image	image	NOUN
can-1335	62	86	is	be	AUX
can-1335	62	87	inversely	inversely	ADV
can-1335	62	88	transformed	transform	VERB
can-1335	62	89	into	into	ADP
can-1335	62	90	the	the	DET
can-1335	62	91	spatial	spatial	ADJ
can-1335	62	92	domain	domain	NOUN
can-1335	62	93	by	by	ADP
can-1335	62	94	nsct	nsct	PROPN
can-1335	62	95	,	,	PUNCT
can-1335	62	96	and	and	CCONJ
can-1335	62	97	the	the	DET
can-1335	62	98	new	new	ADJ
can-1335	62	99	image	image	NOUN
can-1335	62	100	is	be	AUX
can-1335	62	101	reconstructed	reconstruct	VERB
can-1335	62	102	;	;	PUNCT
can-1335	62	103	step	step	NOUN
can-1335	62	104	5	5	NUM
can-1335	62	105	:	:	PUNCT
can-1335	62	106	the	the	DET
can-1335	62	107	reconstructed	reconstructed	ADJ
can-1335	62	108	image	image	NOUN
can-1335	62	109	is	be	AUX
can-1335	62	110	further	far	ADV
can-1335	62	111	processed	process	VERB
can-1335	62	112	by	by	ADP
can-1335	62	113	anti	anti	ADJ
can-1335	62	114	-	-	ADJ
can-1335	62	115	sharpening	sharpening	ADJ
can-1335	62	116	mask	mask	NOUN
can-1335	62	117	technology	technology	NOUN
can-1335	62	118	to	to	PART
can-1335	62	119	obtain	obtain	VERB
can-1335	62	120	the	the	DET
can-1335	62	121	optimized	optimize	VERB
can-1335	62	122	clear	clear	ADJ
can-1335	62	123	image	image	NOUN
can-1335	62	124	.	.	PUNCT
can-1335	63	1	4	4	X
can-1335	63	2	.	.	X
can-1335	63	3	experimental	experimental	ADJ
can-1335	63	4	results	result	NOUN
can-1335	63	5	and	and	CCONJ
can-1335	63	6	analysis	analysis	NOUN
can-1335	63	7	the	the	DET
can-1335	63	8	experiments	experiment	NOUN
can-1335	63	9	are	be	AUX
can-1335	63	10	carried	carry	VERB
can-1335	63	11	out	out	ADP
can-1335	63	12	by	by	ADP
can-1335	63	13	using	use	VERB
can-1335	63	14	the	the	DET
can-1335	63	15	traditional	traditional	ADJ
can-1335	63	16	histogram	histogram	NOUN
can-1335	63	17	equalization	equalization	NOUN
can-1335	63	18	algorithm	algorithm	NOUN
can-1335	63	19	(	(	PUNCT
can-1335	63	20	he	he	PRON
can-1335	63	21	)	)	PUNCT
can-1335	63	22	,	,	PUNCT
can-1335	63	23	retinex	retinex	ADJ
can-1335	63	24	image	image	NOUN
can-1335	63	25	enhancement	enhancement	NOUN
can-1335	63	26	algorithm	algorithm	NOUN
can-1335	63	27	(	(	PUNCT
can-1335	63	28	msr	msr	PROPN
can-1335	63	29	)	)	PUNCT
can-1335	63	30	and	and	CCONJ
can-1335	63	31	the	the	DET
can-1335	63	32	algorithms	algorithm	NOUN
can-1335	63	33	proposed	propose	VERB
can-1335	63	34	in	in	ADP
can-1335	63	35	this	this	DET
can-1335	63	36	paper	paper	NOUN
can-1335	63	37	.	.	PUNCT
can-1335	64	1	the	the	DET
can-1335	64	2	experiments	experiment	NOUN
can-1335	64	3	are	be	AUX
can-1335	64	4	carried	carry	VERB
can-1335	64	5	out	out	ADP
can-1335	64	6	by	by	ADP
can-1335	64	7	using	use	VERB
can-1335	64	8	the	the	DET
can-1335	64	9	standard	standard	ADJ
can-1335	64	10	nano	nano	NOUN
can-1335	64	11	grid	grid	NOUN
can-1335	64	12	image	image	NOUN
can-1335	64	13	obtained	obtain	VERB
can-1335	64	14	under	under	ADP
can-1335	64	15	the	the	DET
can-1335	64	16	actual	actual	ADJ
can-1335	64	17	optical	optical	ADJ
can-1335	64	18	microscope	microscope	NOUN
can-1335	64	19	,	,	PUNCT
can-1335	64	20	the	the	DET
can-1335	64	21	conductive	conductive	ADJ
can-1335	64	22	probe	probe	NOUN
can-1335	64	23	and	and	CCONJ
can-1335	64	24	triangular	triangular	NOUN
can-1335	64	25	probe	probe	NOUN
can-1335	64	26	sample	sample	NOUN
can-1335	64	27	images	image	NOUN
can-1335	64	28	collected	collect	VERB
can-1335	64	29	under	under	ADP
can-1335	64	30	the	the	DET
can-1335	64	31	atomic	atomic	ADJ
can-1335	64	32	force	force	NOUN
can-1335	64	33	microscope	microscope	NOUN
can-1335	64	34	.	.	PUNCT
can-1335	65	1	figure	figure	NOUN
can-1335	65	2	3	3	NUM
can-1335	65	3	,	,	PUNCT
can-1335	65	4	figure	figure	NOUN
can-1335	65	5	4	4	NUM
can-1335	65	6	,	,	PUNCT
can-1335	65	7	figure	figure	VERB
can-1335	65	8	5	5	NUM
can-1335	65	9	show	show	VERB
can-1335	65	10	the	the	DET
can-1335	65	11	results	result	NOUN
can-1335	65	12	of	of	ADP
can-1335	65	13	preprocessing	preprocesse	VERB
can-1335	65	14	three	three	NUM
can-1335	65	15	kinds	kind	NOUN
can-1335	65	16	of	of	ADP
can-1335	65	17	images	image	NOUN
can-1335	65	18	by	by	ADP
can-1335	65	19	three	three	NUM
can-1335	65	20	algorithms	algorithm	NOUN
can-1335	65	21	.	.	PUNCT
can-1335	66	1	among	among	ADP
can-1335	66	2	them	they	PRON
can-1335	66	3	,	,	PUNCT
can-1335	66	4	(	(	PUNCT
can-1335	66	5	a	a	X
can-1335	66	6	)	)	PUNCT
can-1335	66	7	is	be	AUX
can-1335	66	8	the	the	DET
can-1335	66	9	original	original	ADJ
can-1335	66	10	image	image	NOUN
can-1335	66	11	,	,	PUNCT
can-1335	66	12	(	(	PUNCT
can-1335	66	13	b	b	X
can-1335	66	14	)	)	PUNCT
can-1335	66	15	is	be	AUX
can-1335	66	16	the	the	DET
can-1335	66	17	image	image	NOUN
can-1335	66	18	enhanced	enhance	VERB
can-1335	66	19	by	by	ADP
can-1335	66	20	histogram	histogram	NOUN
can-1335	66	21	equalization	equalization	NOUN
can-1335	66	22	algorithm	algorithm	NOUN
can-1335	66	23	(	(	PUNCT
can-1335	66	24	he	he	PRON
can-1335	66	25	)	)	PUNCT
can-1335	66	26	,	,	PUNCT
can-1335	66	27	(	(	PUNCT
can-1335	66	28	c	c	X
can-1335	66	29	)	)	PUNCT
can-1335	66	30	is	be	AUX
can-1335	66	31	the	the	DET
can-1335	66	32	image	image	NOUN
can-1335	66	33	enhanced	enhance	VERB
can-1335	66	34	by	by	ADP
can-1335	66	35	retinex	retinex	ADJ
can-1335	66	36	algorithm	algorithm	NOUN
can-1335	66	37	(	(	PUNCT
can-1335	66	38	mer	mer	NOUN
can-1335	66	39	)	)	PUNCT
can-1335	66	40	,	,	PUNCT
can-1335	66	41	and	and	CCONJ
can-1335	66	42	(	(	PUNCT
can-1335	66	43	d	d	X
can-1335	66	44	)	)	PUNCT
can-1335	66	45	is	be	AUX
can-1335	66	46	the	the	DET
can-1335	66	47	image	image	NOUN
can-1335	66	48	enhanced	enhance	VERB
can-1335	66	49	by	by	ADP
can-1335	66	50	the	the	DET
can-1335	66	51	algorithm	algorithm	NOUN
can-1335	66	52	proposed	propose	VERB
can-1335	66	53	in	in	ADP
can-1335	66	54	this	this	DET
can-1335	66	55	paper	paper	NOUN
can-1335	66	56	.	.	PUNCT
can-1335	67	1	4.1	4.1	NUM
can-1335	67	2	subjective	subjective	ADJ
can-1335	67	3	evaluation	evaluation	NOUN
can-1335	67	4	(	(	PUNCT
can-1335	67	5	1	1	NUM
can-1335	67	6	)	)	PUNCT
can-1335	67	7	standard	standard	NOUN
can-1335	67	8	500	500	NUM
can-1335	67	9	nm	nm	NOUN
can-1335	67	10	raster	raster	NOUN
can-1335	67	11	image	image	NOUN
can-1335	67	12	(	(	PUNCT
can-1335	67	13	2	2	NUM
can-1335	67	14	)	)	PUNCT
can-1335	67	15	conductive	conductive	ADJ
can-1335	67	16	probe	probe	NOUN
can-1335	67	17	image	image	NOUN
can-1335	67	18	(	(	PUNCT
can-1335	67	19	3	3	X
can-1335	67	20	)	)	PUNCT
can-1335	67	21	triangular	triangular	NOUN
can-1335	67	22	probe	probe	NOUN
can-1335	67	23	image	image	NOUN
can-1335	67	24	figure	figure	NOUN
can-1335	67	25	3	3	NUM
can-1335	67	26	.	.	PUNCT
can-1335	67	27	grid	grid	NOUN
can-1335	67	28	image	image	NOUN
can-1335	67	29	preprocessing	preprocessing	NOUN
can-1335	67	30	results	result	NOUN
can-1335	67	31	of	of	ADP
can-1335	67	32	three	three	NUM
can-1335	67	33	algorithms	algorithm	NOUN
can-1335	67	34	.	.	PUNCT
can-1335	68	1	as	as	SCONJ
can-1335	68	2	can	can	AUX
can-1335	68	3	be	be	AUX
can-1335	68	4	seen	see	VERB
can-1335	68	5	from	from	ADP
can-1335	68	6	figure	figure	NOUN
can-1335	68	7	3	3	NUM
can-1335	68	8	,	,	PUNCT
can-1335	68	9	figure	figure	NOUN
can-1335	68	10	4	4	NUM
can-1335	68	11	,	,	PUNCT
can-1335	68	12	figure	figure	NOUN
can-1335	68	13	5	5	NUM
can-1335	68	14	,	,	PUNCT
can-1335	68	15	compared	compare	VERB
can-1335	68	16	with	with	ADP
can-1335	68	17	the	the	DET
can-1335	68	18	original	original	ADJ
can-1335	68	19	image	image	NOUN
can-1335	68	20	,	,	PUNCT
can-1335	68	21	the	the	DET
can-1335	68	22	clarity	clarity	NOUN
can-1335	68	23	and	and	CCONJ
can-1335	68	24	contrast	contrast	NOUN
can-1335	68	25	of	of	ADP
can-1335	68	26	the	the	DET
can-1335	68	27	three	three	NUM
can-1335	68	28	images	image	NOUN
can-1335	68	29	processed	process	VERB
can-1335	68	30	by	by	ADP
can-1335	68	31	he	he	PRON
can-1335	68	32	algorithm	algorithm	NOUN
can-1335	68	33	are	be	AUX
can-1335	68	34	greatly	greatly	ADV
can-1335	68	35	improved	improve	VERB
can-1335	68	36	,	,	PUNCT
can-1335	68	37	and	and	CCONJ
can-1335	68	38	the	the	DET
can-1335	68	39	overall	overall	ADJ
can-1335	68	40	enhancement	enhancement	NOUN
can-1335	68	41	effect	effect	NOUN
can-1335	68	42	is	be	AUX
can-1335	68	43	better	well	ADJ
can-1335	68	44	.	.	PUNCT
can-1335	69	1	however	however	ADV
can-1335	69	2	,	,	PUNCT
can-1335	69	3	the	the	DET
can-1335	69	4	image	image	NOUN
can-1335	69	5	processed	process	VERB
can-1335	69	6	by	by	ADP
can-1335	69	7	this	this	DET
can-1335	69	8	algorithm	algorithm	NOUN
can-1335	69	9	has	have	VERB
can-1335	69	10	more	more	ADJ
can-1335	69	11	noise	noise	NOUN
can-1335	69	12	,	,	PUNCT
can-1335	69	13	and	and	CCONJ
can-1335	69	14	the	the	DET
can-1335	69	15	processing	processing	NOUN
can-1335	69	16	of	of	ADP
can-1335	69	17	the	the	DET
can-1335	69	18	edge	edge	NOUN
can-1335	69	19	details	detail	NOUN
can-1335	69	20	of	of	ADP
can-1335	69	21	the	the	DET
can-1335	69	22	image	image	NOUN
can-1335	69	23	is	be	AUX
can-1335	69	24	not	not	PART
can-1335	69	25	ideal	ideal	ADJ
can-1335	69	26	.	.	PUNCT
can-1335	70	1	sometimes	sometimes	ADV
can-1335	70	2	there	there	PRON
can-1335	70	3	will	will	AUX
can-1335	70	4	be	be	AUX
can-1335	70	5	local	local	ADJ
can-1335	70	6	distortion	distortion	NOUN
can-1335	70	7	and	and	CCONJ
can-1335	70	8	block	block	NOUN
can-1335	70	9	phenomenon	phenomenon	NOUN
can-1335	70	10	.	.	PUNCT
can-1335	71	1	for	for	ADP
can-1335	71	2	example	example	NOUN
can-1335	71	3	,	,	PUNCT
can-1335	71	4	the	the	DET
can-1335	71	5	standard	standard	ADJ
can-1335	71	6	500	500	NUM
can-1335	71	7	nm	nm	ADJ
can-1335	71	8	scale	scale	NOUN
can-1335	71	9	grid	grid	NOUN
can-1335	71	10	image	image	NOUN
can-1335	71	11	is	be	AUX
can-1335	71	12	obviously	obviously	ADV
can-1335	71	13	noisy	noisy	ADJ
can-1335	71	14	after	after	ADP
can-1335	71	15	being	be	AUX
can-1335	71	16	processed	process	VERB
can-1335	71	17	by	by	ADP
can-1335	71	18	he	he	PRON
can-1335	71	19	algorithm	algorithm	NOUN
can-1335	71	20	;	;	PUNCT
can-1335	71	21	after	after	SCONJ
can-1335	71	22	the	the	DET
can-1335	71	23	conductive	conductive	ADJ
can-1335	71	24	probe	probe	NOUN
can-1335	71	25	and	and	CCONJ
can-1335	71	26	triangular	triangular	NOUN
can-1335	71	27	probe	probe	NOUN
can-1335	71	28	are	be	AUX
can-1335	71	29	processed	process	VERB
can-1335	71	30	by	by	ADP
can-1335	71	31	he	he	PRON
can-1335	71	32	algorithm	algorithm	PROPN
can-1335	71	33	,	,	PUNCT
can-1335	71	34	the	the	DET
can-1335	71	35	probe	probe	NOUN
can-1335	71	36	tip	tip	NOUN
can-1335	71	37	appears	appear	VERB
can-1335	71	38	local	local	ADJ
can-1335	71	39	distortion	distortion	NOUN
can-1335	71	40	.	.	PUNCT
can-1335	72	1	figure	figure	NOUN
can-1335	72	2	4	4	NUM
can-1335	72	3	.	.	PUNCT
can-1335	72	4	preprocessing	preprocesse	VERB
can-1335	72	5	results	result	NOUN
can-1335	72	6	of	of	ADP
can-1335	72	7	three	three	NUM
can-1335	72	8	algorithms	algorithm	NOUN
can-1335	72	9	on	on	ADP
can-1335	72	10	conductive	conductive	ADJ
can-1335	72	11	probe	probe	NOUN
can-1335	72	12	.	.	PUNCT
can-1335	73	1	figure	figure	NOUN
can-1335	73	2	5	5	NUM
can-1335	73	3	.	.	PUNCT
can-1335	73	4	preprocessing	preprocesse	VERB
can-1335	73	5	results	result	NOUN
can-1335	73	6	of	of	ADP
can-1335	73	7	three	three	NUM
can-1335	73	8	algorithms	algorithm	NOUN
can-1335	73	9	on	on	ADP
can-1335	73	10	triangular	triangular	NOUN
can-1335	73	11	probe	probe	NOUN
can-1335	73	12	.	.	PUNCT
can-1335	74	1	retinex	retinex	ADJ
can-1335	74	2	algorithm	algorithm	NOUN
can-1335	74	3	decomposes	decompose	VERB
can-1335	74	4	the	the	DET
can-1335	74	5	image	image	NOUN
can-1335	74	6	into	into	ADP
can-1335	74	7	illumination	illumination	NOUN
can-1335	74	8	image	image	NOUN
can-1335	74	9	and	and	CCONJ
can-1335	74	10	reflectance	reflectance	NOUN
can-1335	74	11	image	image	NOUN
can-1335	74	12	,	,	PUNCT
can-1335	74	13	and	and	CCONJ
can-1335	74	14	then	then	ADV
can-1335	74	15	eliminates	eliminate	VERB
can-1335	74	16	or	or	CCONJ
can-1335	74	17	weakens	weaken	VERB
can-1335	74	18	the	the	DET
can-1335	74	19	influence	influence	NOUN
can-1335	74	20	of	of	ADP
can-1335	74	21	illumination	illumination	NOUN
can-1335	74	22	,	,	PUNCT
can-1335	74	23	so	so	SCONJ
can-1335	74	24	as	as	SCONJ
can-1335	74	25	to	to	PART
can-1335	74	26	achieve	achieve	VERB
can-1335	74	27	the	the	DET
can-1335	74	28	effect	effect	NOUN
can-1335	74	29	of	of	ADP
can-1335	74	30	image	image	NOUN
can-1335	74	31	enhancement	enhancement	NOUN
can-1335	74	32	.	.	PUNCT
can-1335	75	1	therefore	therefore	ADV
can-1335	75	2	,	,	PUNCT
can-1335	75	3	compared	compare	VERB
can-1335	75	4	with	with	ADP
can-1335	75	5	the	the	DET
can-1335	75	6	original	original	ADJ
can-1335	75	7	image	image	NOUN
can-1335	75	8	,	,	PUNCT
can-1335	75	9	the	the	DET
can-1335	75	10	clarity	clarity	NOUN
can-1335	75	11	and	and	CCONJ
can-1335	75	12	contrast	contrast	NOUN
can-1335	75	13	of	of	ADP
can-1335	75	14	the	the	DET
can-1335	75	15	three	three	NUM
can-1335	75	16	kinds	kind	NOUN
can-1335	75	17	of	of	ADP
can-1335	75	18	images	image	NOUN
can-1335	75	19	processed	process	VERB
can-1335	75	20	by	by	ADP
can-1335	75	21	retinex	retinex	ADJ
can-1335	75	22	algorithm	algorithm	NOUN
can-1335	75	23	are	be	AUX
can-1335	75	24	greatly	greatly	ADV
can-1335	75	25	improved	improve	VERB
can-1335	75	26	,	,	PUNCT
can-1335	75	27	and	and	CCONJ
can-1335	75	28	the	the	DET
can-1335	75	29	overall	overall	ADJ
can-1335	75	30	enhancement	enhancement	NOUN
can-1335	75	31	effect	effect	NOUN
can-1335	75	32	is	be	AUX
can-1335	75	33	better	well	ADJ
can-1335	75	34	.	.	PUNCT
can-1335	76	1	however	however	ADV
can-1335	76	2	,	,	PUNCT
can-1335	76	3	due	due	ADP
can-1335	76	4	to	to	ADP
can-1335	76	5	the	the	DET
can-1335	76	6	logarithmic	logarithmic	ADJ
can-1335	76	7	processing	processing	NOUN
can-1335	76	8	,	,	PUNCT
can-1335	76	9	the	the	DET
can-1335	76	10	display	display	NOUN
can-1335	76	11	range	range	NOUN
can-1335	76	12	of	of	ADP
can-1335	76	13	the	the	DET
can-1335	76	14	bright	bright	ADJ
can-1335	76	15	area	area	NOUN
can-1335	76	16	of	of	ADP
can-1335	76	17	the	the	DET
can-1335	76	18	image	image	NOUN
can-1335	76	19	is	be	AUX
can-1335	76	20	compressed	compress	VERB
can-1335	76	21	,	,	PUNCT
can-1335	76	22	resulting	result	VERB
can-1335	76	23	in	in	ADP
can-1335	76	24	the	the	DET
can-1335	76	25	weakening	weakening	NOUN
can-1335	76	26	of	of	ADP
can-1335	76	27	the	the	DET
can-1335	76	28	details	detail	NOUN
can-1335	76	29	of	of	ADP
can-1335	76	30	the	the	DET
can-1335	76	31	image	image	NOUN
can-1335	76	32	.	.	PUNCT
can-1335	77	1	for	for	ADP
can-1335	77	2	example	example	NOUN
can-1335	77	3	,	,	PUNCT
can-1335	77	4	the	the	DET
can-1335	77	5	details	detail	NOUN
can-1335	77	6	of	of	ADP
can-1335	77	7	the	the	DET
can-1335	77	8	edges	edge	NOUN
can-1335	77	9	and	and	CCONJ
can-1335	77	10	corners	corner	NOUN
can-1335	77	11	of	of	ADP
can-1335	77	12	the	the	DET
can-1335	77	13	standard	standard	ADJ
can-1335	77	14	500	500	NUM
can-1335	77	15	nm	nm	ADJ
can-1335	77	16	scale	scale	NOUN
can-1335	77	17	grid	grid	NOUN
can-1335	77	18	,	,	PUNCT
can-1335	77	19	the	the	DET
can-1335	77	20	needles	needle	NOUN
can-1335	77	21	of	of	ADP
can-1335	77	22	the	the	DET
can-1335	77	23	conductive	conductive	ADJ
can-1335	77	24	probe	probe	NOUN
can-1335	77	25	and	and	CCONJ
can-1335	77	26	the	the	DET
can-1335	77	27	triangular	triangular	NOUN
can-1335	77	28	probe	probe	NOUN
can-1335	77	29	are	be	AUX
can-1335	77	30	significantly	significantly	ADV
can-1335	77	31	weakened	weaken	VERB
can-1335	77	32	.	.	PUNCT
can-1335	78	1	compared	compare	VERB
can-1335	78	2	with	with	ADP
can-1335	78	3	the	the	DET
can-1335	78	4	original	original	ADJ
can-1335	78	5	image	image	NOUN
can-1335	78	6	,	,	PUNCT
can-1335	78	7	the	the	DET
can-1335	78	8	sharpness	sharpness	NOUN
can-1335	78	9	and	and	CCONJ
can-1335	78	10	contrast	contrast	NOUN
can-1335	78	11	of	of	ADP
can-1335	78	12	the	the	DET
can-1335	78	13	three	three	NUM
can-1335	78	14	images	image	NOUN
can-1335	78	15	processed	process	VERB
can-1335	78	16	by	by	ADP
can-1335	78	17	the	the	DET
can-1335	78	18	proposed	propose	VERB
can-1335	78	19	algorithm	algorithm	NOUN
can-1335	78	20	are	be	AUX
can-1335	78	21	improved	improve	VERB
can-1335	78	22	,	,	PUNCT
can-1335	78	23	and	and	CCONJ
can-1335	78	24	the	the	DET
can-1335	78	25	over53	over53	NOUN
can-1335	78	26	all	all	DET
can-1335	78	27	effect	effect	NOUN
can-1335	78	28	is	be	AUX
can-1335	78	29	better	well	ADJ
can-1335	78	30	;	;	PUNCT
can-1335	78	31	moreover	moreover	ADV
can-1335	78	32	,	,	PUNCT
can-1335	78	33	the	the	DET
can-1335	78	34	algorithm	algorithm	NOUN
can-1335	78	35	adopts	adopt	VERB
can-1335	78	36	an	an	DET
can-1335	78	37	adaptive	adaptive	ADJ
can-1335	78	38	filtering	filter	VERB
can-1335	78	39	algorithm	algorithm	NOUN
can-1335	78	40	for	for	ADP
can-1335	78	41	high	high	ADJ
can-1335	78	42	-	-	PUNCT
can-1335	78	43	frequency	frequency	NOUN
can-1335	78	44	coefficients	coefficient	NOUN
can-1335	78	45	to	to	PART
can-1335	78	46	determine	determine	VERB
can-1335	78	47	the	the	DET
can-1335	78	48	noise	noise	NOUN
can-1335	78	49	determination	determination	NOUN
can-1335	78	50	threshold	threshold	NOUN
can-1335	78	51	suitable	suitable	ADJ
can-1335	78	52	for	for	ADP
can-1335	78	53	different	different	ADJ
can-1335	78	54	sub	sub	ADJ
can-1335	78	55	-	-	ADJ
can-1335	78	56	band	band	ADJ
can-1335	78	57	coefficients	coefficient	NOUN
can-1335	78	58	.	.	PUNCT
can-1335	79	1	therefore	therefore	ADV
can-1335	79	2	,	,	PUNCT
can-1335	79	3	compared	compare	VERB
can-1335	79	4	with	with	ADP
can-1335	79	5	the	the	DET
can-1335	79	6	original	original	ADJ
can-1335	79	7	image	image	NOUN
can-1335	79	8	,	,	PUNCT
can-1335	79	9	the	the	DET
can-1335	79	10	noise	noise	NOUN
can-1335	79	11	of	of	ADP
can-1335	79	12	the	the	DET
can-1335	79	13	three	three	NUM
can-1335	79	14	images	image	NOUN
can-1335	79	15	processed	process	VERB
can-1335	79	16	by	by	ADP
can-1335	79	17	the	the	DET
can-1335	79	18	algorithm	algorithm	NOUN
can-1335	79	19	proposed	propose	VERB
can-1335	79	20	in	in	ADP
can-1335	79	21	this	this	DET
can-1335	79	22	paper	paper	NOUN
can-1335	79	23	is	be	AUX
can-1335	79	24	very	very	ADV
can-1335	79	25	low	low	ADJ
can-1335	79	26	.	.	PUNCT
can-1335	80	1	4.2	4.2	NUM
can-1335	80	2	objective	objective	ADJ
can-1335	80	3	evaluation	evaluation	NOUN
can-1335	80	4	sharpness	sharpness	NOUN
can-1335	80	5	,	,	PUNCT
can-1335	80	6	contrast	contrast	NOUN
can-1335	80	7	and	and	CCONJ
can-1335	80	8	peak	peak	NOUN
can-1335	80	9	signal	signal	NOUN
can-1335	80	10	-	-	PUNCT
can-1335	80	11	to	to	ADP
can-1335	80	12	-	-	PUNCT
can-1335	80	13	noise	noise	NOUN
can-1335	80	14	ratio	ratio	NOUN
can-1335	80	15	are	be	AUX
can-1335	80	16	three	three	NUM
can-1335	80	17	objective	objective	ADJ
can-1335	80	18	indexes	index	NOUN
can-1335	80	19	commonly	commonly	ADV
can-1335	80	20	used	use	VERB
can-1335	80	21	to	to	PART
can-1335	80	22	measure	measure	VERB
can-1335	80	23	the	the	DET
can-1335	80	24	effect	effect	NOUN
can-1335	80	25	of	of	ADP
can-1335	80	26	image	image	NOUN
can-1335	80	27	enhancement	enhancement	NOUN
can-1335	80	28	.	.	PUNCT
can-1335	81	1	these	these	DET
can-1335	81	2	three	three	NUM
can-1335	81	3	indexes	index	NOUN
can-1335	81	4	have	have	AUX
can-1335	81	5	been	be	AUX
can-1335	81	6	used	use	VERB
can-1335	81	7	for	for	ADP
can-1335	81	8	objective	objective	ADJ
can-1335	81	9	calculation	calculation	NOUN
can-1335	81	10	and	and	CCONJ
can-1335	81	11	evaluation	evaluation	NOUN
can-1335	81	12	in	in	ADP
can-1335	81	13	this	this	DET
can-1335	81	14	paper	paper	NOUN
can-1335	81	15	.	.	PUNCT
can-1335	82	1	(	(	PUNCT
can-1335	82	2	1	1	X
can-1335	82	3	)	)	PUNCT
can-1335	82	4	clarity	clarity	NOUN
can-1335	82	5	it	it	PRON
can-1335	82	6	mainly	mainly	ADV
can-1335	82	7	reflects	reflect	VERB
can-1335	82	8	the	the	DET
can-1335	82	9	vein	vein	ADJ
can-1335	82	10	part	part	NOUN
can-1335	82	11	of	of	ADP
can-1335	82	12	the	the	DET
can-1335	82	13	image	image	NOUN
can-1335	82	14	.	.	PUNCT
can-1335	83	1	the	the	DET
can-1335	83	2	larger	large	ADJ
can-1335	83	3	is	be	AUX
can-1335	83	4	the	the	DET
can-1335	83	5	measured	measured	ADJ
can-1335	83	6	value	value	NOUN
can-1335	83	7	,	,	PUNCT
can-1335	83	8	the	the	DET
can-1335	83	9	clearer	clear	ADJ
can-1335	83	10	is	be	AUX
can-1335	83	11	the	the	DET
can-1335	83	12	representative	representative	ADJ
can-1335	83	13	image	image	NOUN
can-1335	83	14	,	,	PUNCT
can-1335	83	15	as	as	SCONJ
can-1335	83	16	shown	show	VERB
can-1335	83	17	in	in	ADP
can-1335	83	18	equation	equation	NOUN
can-1335	83	19	(	(	PUNCT
can-1335	83	20	8)	8)	NUM
can-1335	83	21	.	.	PUNCT
can-1335	84	1	(	(	PUNCT
can-1335	84	2	8)	8)	NUM
can-1335	84	3	∆mx(i	∆mx(i	NOUN
can-1335	84	4	,	,	PUNCT
can-1335	84	5	j	j	PROPN
can-1335	84	6	)	)	PUNCT
can-1335	84	7	,	,	PUNCT
can-1335	84	8	∆nx(i	∆nx(i	PROPN
can-1335	84	9	,	,	PUNCT
can-1335	84	10	j	j	PROPN
can-1335	84	11	)	)	PUNCT
can-1335	84	12	are	be	AUX
can-1335	84	13	the	the	DET
can-1335	84	14	difference	difference	NOUN
can-1335	84	15	points	point	NOUN
can-1335	84	16	of	of	ADP
can-1335	84	17	points	point	NOUN
can-1335	84	18	(	(	PUNCT
can-1335	84	19	i	i	PROPN
can-1335	84	20	,	,	PUNCT
can-1335	84	21	j	j	PROPN
can-1335	84	22	)	)	PUNCT
can-1335	84	23	in	in	ADP
can-1335	84	24	vertical	vertical	ADJ
can-1335	84	25	and	and	CCONJ
can-1335	84	26	horizontal	horizontal	ADJ
can-1335	84	27	directions	direction	NOUN
can-1335	84	28	.	.	PUNCT
can-1335	85	1	(	(	PUNCT
can-1335	85	2	2	2	X
can-1335	85	3	)	)	PUNCT
can-1335	85	4	contrast	contrast	NOUN
can-1335	85	5	it	it	PRON
can-1335	85	6	represents	represent	VERB
can-1335	85	7	the	the	DET
can-1335	85	8	overall	overall	ADJ
can-1335	85	9	contrast	contrast	NOUN
can-1335	85	10	intensity	intensity	NOUN
can-1335	85	11	of	of	ADP
can-1335	85	12	the	the	DET
can-1335	85	13	image	image	NOUN
can-1335	85	14	.	.	PUNCT
can-1335	86	1	generally	generally	ADV
can-1335	86	2	,	,	PUNCT
can-1335	86	3	the	the	DET
can-1335	86	4	greater	great	ADJ
can-1335	86	5	is	be	AUX
can-1335	86	6	the	the	DET
can-1335	86	7	contrast	contrast	NOUN
can-1335	86	8	,	,	PUNCT
can-1335	86	9	the	the	DET
can-1335	86	10	better	well	ADJ
can-1335	86	11	is	be	AUX
can-1335	86	12	the	the	DET
can-1335	86	13	image	image	NOUN
can-1335	86	14	enhancement	enhancement	NOUN
can-1335	86	15	effect	effect	NOUN
can-1335	86	16	.	.	PUNCT
can-1335	87	1	the	the	DET
can-1335	87	2	contrast	contrast	NOUN
can-1335	87	3	calculation	calculation	NOUN
can-1335	87	4	formula	formula	NOUN
can-1335	87	5	is	be	AUX
can-1335	87	6	:	:	PUNCT
can-1335	87	7	(	(	PUNCT
can-1335	87	8	9	9	X
can-1335	87	9	)	)	PUNCT
can-1335	87	10	where	where	SCONJ
can-1335	87	11	,	,	PUNCT
can-1335	87	12	µx	µx	VERB
can-1335	87	13	represents	represent	VERB
can-1335	87	14	the	the	DET
can-1335	87	15	average	average	ADJ
can-1335	87	16	value	value	NOUN
can-1335	87	17	of	of	ADP
can-1335	87	18	gray	gray	ADJ
can-1335	87	19	scale	scale	NOUN
can-1335	87	20	,	,	PUNCT
can-1335	87	21	m	m	PROPN
can-1335	87	22	and	and	CCONJ
can-1335	87	23	n	n	PRON
can-1335	87	24	represent	represent	VERB
can-1335	87	25	the	the	DET
can-1335	87	26	number	number	NOUN
can-1335	87	27	of	of	ADP
can-1335	87	28	pixels	pixel	NOUN
can-1335	87	29	in	in	ADP
can-1335	87	30	image	image	NOUN
can-1335	87	31	rows	row	NOUN
can-1335	87	32	and	and	CCONJ
can-1335	87	33	columns	column	NOUN
can-1335	87	34	.	.	PUNCT
can-1335	88	1	var	var	PROPN
can-1335	88	2	is	be	AUX
can-1335	88	3	the	the	DET
can-1335	88	4	variance	variance	NOUN
can-1335	88	5	of	of	ADP
can-1335	88	6	image	image	NOUN
can-1335	88	7	,	,	PUNCT
can-1335	88	8	and	and	CCONJ
can-1335	88	9	the	the	DET
can-1335	88	10	calculation	calculation	NOUN
can-1335	88	11	formula	formula	NOUN
can-1335	88	12	is	be	AUX
can-1335	88	13	:	:	PUNCT
can-1335	88	14	(	(	PUNCT
can-1335	88	15	10	10	NUM
can-1335	88	16	)	)	PUNCT
can-1335	88	17	(	(	PUNCT
can-1335	88	18	3	3	X
can-1335	88	19	)	)	PUNCT
can-1335	88	20	peak	peak	NOUN
can-1335	88	21	signal	signal	NOUN
can-1335	88	22	-	-	PUNCT
can-1335	88	23	to	to	ADP
can-1335	88	24	-	-	PUNCT
can-1335	88	25	noise	noise	NOUN
can-1335	88	26	ratio	ratio	NOUN
can-1335	88	27	according	accord	VERB
can-1335	88	28	to	to	ADP
can-1335	88	29	the	the	DET
can-1335	88	30	ratio	ratio	NOUN
can-1335	88	31	of	of	ADP
can-1335	88	32	maximum	maximum	ADJ
can-1335	88	33	signal	signal	NOUN
can-1335	88	34	power	power	NOUN
can-1335	88	35	and	and	CCONJ
can-1335	88	36	noise	noise	NOUN
can-1335	88	37	power	power	NOUN
can-1335	88	38	,	,	PUNCT
can-1335	88	39	the	the	DET
can-1335	88	40	greater	great	ADJ
can-1335	88	41	is	be	AUX
can-1335	88	42	the	the	DET
can-1335	88	43	psnr	psnr	NOUN
can-1335	88	44	,	,	PUNCT
can-1335	88	45	the	the	DET
can-1335	88	46	better	well	ADJ
can-1335	88	47	is	be	AUX
can-1335	88	48	the	the	DET
can-1335	88	49	image	image	NOUN
can-1335	88	50	enhancement	enhancement	NOUN
can-1335	88	51	effect	effect	NOUN
can-1335	88	52	.	.	PUNCT
can-1335	89	1	the	the	DET
can-1335	89	2	calculation	calculation	NOUN
can-1335	89	3	formula	formula	NOUN
can-1335	89	4	of	of	ADP
can-1335	89	5	psnr	psnr	NOUN
can-1335	89	6	is	be	AUX
can-1335	89	7	:	:	PUNCT
can-1335	89	8	(	(	PUNCT
can-1335	89	9	11	11	NUM
can-1335	89	10	)	)	PUNCT
can-1335	89	11	where	where	SCONJ
can-1335	89	12	,	,	PUNCT
can-1335	89	13	l	l	NOUN
can-1335	89	14	is	be	AUX
can-1335	89	15	the	the	DET
can-1335	89	16	gray	gray	ADJ
can-1335	89	17	level	level	NOUN
can-1335	89	18	range	range	NOUN
can-1335	89	19	,	,	PUNCT
can-1335	89	20	usually	usually	ADV
can-1335	89	21	255	255	NUM
can-1335	89	22	,	,	PUNCT
can-1335	89	23	and	and	CCONJ
can-1335	89	24	mse	mse	NOUN
can-1335	89	25	is	be	AUX
can-1335	89	26	the	the	DET
can-1335	89	27	mean	mean	ADJ
can-1335	89	28	square	square	NOUN
can-1335	89	29	error	error	NOUN
can-1335	89	30	,	,	PUNCT
can-1335	89	31	which	which	PRON
can-1335	89	32	can	can	AUX
can-1335	89	33	be	be	AUX
can-1335	89	34	calculated	calculate	VERB
can-1335	89	35	by	by	ADP
can-1335	89	36	equation	equation	NOUN
can-1335	89	37	(	(	PUNCT
can-1335	89	38	12	12	NUM
can-1335	89	39	)	)	PUNCT
can-1335	89	40	.	.	PUNCT
can-1335	90	1	(	(	PUNCT
can-1335	90	2	12	12	NUM
can-1335	90	3	)	)	PUNCT
can-1335	90	4	where	where	SCONJ
can-1335	90	5	,	,	PUNCT
can-1335	90	6	fij	fij	PROPN
can-1335	90	7	and	and	CCONJ
can-1335	90	8	oij	oij	NOUN
can-1335	90	9	are	be	AUX
can-1335	90	10	the	the	DET
can-1335	90	11	gray	gray	ADJ
can-1335	90	12	values	value	NOUN
can-1335	90	13	of	of	ADP
can-1335	90	14	the	the	DET
can-1335	90	15	input	input	NOUN
can-1335	90	16	image	image	NOUN
can-1335	90	17	and	and	CCONJ
can-1335	90	18	the	the	DET
can-1335	90	19	output	output	NOUN
can-1335	90	20	image	image	NOUN
can-1335	90	21	at	at	ADP
can-1335	90	22	points	point	NOUN
can-1335	90	23	(	(	PUNCT
can-1335	90	24	i	i	PROPN
can-1335	90	25	,	,	PUNCT
can-1335	90	26	j	j	PROPN
can-1335	90	27	)	)	PUNCT
can-1335	90	28	,	,	PUNCT
can-1335	90	29	and	and	CCONJ
can-1335	90	30	m	m	PROPN
can-1335	90	31	and	and	CCONJ
can-1335	90	32	n	n	PRON
can-1335	90	33	represent	represent	VERB
can-1335	90	34	the	the	DET
can-1335	90	35	number	number	NOUN
can-1335	90	36	of	of	ADP
can-1335	90	37	pixels	pixel	NOUN
can-1335	90	38	in	in	ADP
can-1335	90	39	the	the	DET
can-1335	90	40	rows	row	NOUN
can-1335	90	41	and	and	CCONJ
can-1335	90	42	columns	column	NOUN
can-1335	90	43	of	of	ADP
can-1335	90	44	the	the	DET
can-1335	90	45	image	image	NOUN
can-1335	90	46	.	.	PUNCT
can-1335	91	1	table	table	NOUN
can-1335	91	2	1	1	NUM
can-1335	91	3	,	,	PUNCT
can-1335	91	4	table	table	NOUN
can-1335	91	5	2	2	NUM
can-1335	91	6	and	and	CCONJ
can-1335	91	7	table	table	NOUN
can-1335	91	8	3	3	NUM
can-1335	91	9	respectively	respectively	ADV
can-1335	91	10	show	show	VERB
can-1335	91	11	the	the	DET
can-1335	91	12	objective	objective	ADJ
can-1335	91	13	evaluation	evaluation	NOUN
can-1335	91	14	indexes	index	NOUN
can-1335	91	15	of	of	ADP
can-1335	91	16	the	the	DET
can-1335	91	17	images	image	NOUN
can-1335	91	18	of	of	ADP
can-1335	91	19	standard	standard	ADJ
can-1335	91	20	nano	nano	NOUN
can-1335	91	21	grid	grid	NOUN
can-1335	91	22	,	,	PUNCT
can-1335	91	23	triangular	triangular	NOUN
can-1335	91	24	probe	probe	NOUN
can-1335	91	25	and	and	CCONJ
can-1335	91	26	conductive	conductive	ADJ
can-1335	91	27	table	table	NOUN
can-1335	91	28	1	1	NUM
can-1335	91	29	.	.	PUNCT
can-1335	91	30	comparison	comparison	NOUN
can-1335	91	31	of	of	ADP
can-1335	91	32	objective	objective	ADJ
can-1335	91	33	evaluation	evaluation	NOUN
can-1335	91	34	indexes	index	NOUN
can-1335	91	35	of	of	ADP
can-1335	91	36	three	three	NUM
can-1335	91	37	algorithms	algorithm	NOUN
can-1335	91	38	for	for	ADP
can-1335	91	39	raster	raster	NOUN
can-1335	91	40	image	image	NOUN
can-1335	91	41	processing	processing	NOUN
can-1335	91	42	evaluating	evaluating	NOUN
can-1335	91	43	indicators	indicator	NOUN
can-1335	91	44	original	original	ADJ
can-1335	91	45	image	image	NOUN
can-1335	91	46	he	he	PRON
can-1335	91	47	algorithm	algorithm	VERB
can-1335	91	48	retinex	retinex	ADJ
can-1335	91	49	algorithm	algorithm	PROPN
can-1335	91	50	textual	textual	ADJ
can-1335	91	51	algorithm	algorithm	NOUN
can-1335	91	52	clarity	clarity	NOUN
can-1335	91	53	3.63	3.63	NUM
can-1335	91	54	21.02	21.02	NUM
can-1335	91	55	13.65	13.65	NUM
can-1335	91	56	5.71	5.71	NUM
can-1335	91	57	contrast	contrast	NOUN
can-1335	91	58	10.92	10.92	NUM
can-1335	91	59	64.65	64.65	NUM
can-1335	91	60	41.98	41.98	NUM
can-1335	91	61	14.56	14.56	NUM
can-1335	91	62	peak	peak	NOUN
can-1335	91	63	signal	signal	NOUN
can-1335	91	64	-	-	PUNCT
can-1335	91	65	to	to	ADP
can-1335	91	66	-	-	PUNCT
can-1335	91	67	noise	noise	NOUN
can-1335	91	68	ratio	ratio	NOUN
can-1335	91	69	—	—	PUNCT
can-1335	91	70	10.84	10.84	NUM
can-1335	91	71	15.79	15.79	NUM
can-1335	91	72	20.49	20.49	NUM
can-1335	91	73	table	table	NOUN
can-1335	91	74	2	2	NUM
can-1335	91	75	.	.	PUNCT
can-1335	91	76	comparison	comparison	NOUN
can-1335	91	77	of	of	ADP
can-1335	91	78	objective	objective	ADJ
can-1335	91	79	evaluation	evaluation	NOUN
can-1335	91	80	indexes	index	NOUN
can-1335	91	81	of	of	ADP
can-1335	91	82	three	three	NUM
can-1335	91	83	algorithms	algorithm	NOUN
can-1335	91	84	for	for	ADP
can-1335	91	85	processing	process	VERB
can-1335	91	86	conductive	conductive	ADJ
can-1335	91	87	probe	probe	NOUN
can-1335	91	88	images	image	NOUN
can-1335	91	89	evaluating	evaluate	VERB
can-1335	91	90	indicators	indicator	NOUN
can-1335	91	91	original	original	ADJ
can-1335	91	92	image	image	NOUN
can-1335	91	93	he	he	PRON
can-1335	91	94	algorithm	algorithm	VERB
can-1335	91	95	retinex	retinex	ADJ
can-1335	91	96	algorithm	algorithm	PROPN
can-1335	91	97	textual	textual	ADJ
can-1335	91	98	algorithm	algorithm	NOUN
can-1335	91	99	clarity	clarity	NOUN
can-1335	91	100	3.68	3.68	NUM
can-1335	91	101	19.03	19.03	NUM
can-1335	91	102	12.11	12.11	NUM
can-1335	91	103	5.16	5.16	NUM
can-1335	91	104	contrast	contrast	NOUN
can-1335	91	105	20.35	20.35	NUM
can-1335	91	106	64.50	64.50	NUM
can-1335	91	107	29.64	29.64	NUM
can-1335	91	108	26.76	26.76	NUM
can-1335	91	109	peak	peak	NOUN
can-1335	91	110	signal	signal	NOUN
can-1335	91	111	-	-	PUNCT
can-1335	91	112	to	to	ADP
can-1335	91	113	-	-	PUNCT
can-1335	91	114	noise	noise	NOUN
can-1335	91	115	ratio	ratio	NOUN
can-1335	91	116	—	—	PUNCT
can-1335	91	117	10.68	10.68	NUM
can-1335	91	118	15.12	15.12	NUM
can-1335	91	119	17.67	17.67	NUM
can-1335	91	120	table	table	NOUN
can-1335	91	121	3	3	NUM
can-1335	91	122	.	.	PUNCT
can-1335	91	123	comparison	comparison	NOUN
can-1335	91	124	of	of	ADP
can-1335	91	125	objective	objective	ADJ
can-1335	91	126	evaluation	evaluation	NOUN
can-1335	91	127	indexes	index	NOUN
can-1335	91	128	of	of	ADP
can-1335	91	129	three	three	NUM
can-1335	91	130	algorithms	algorithm	NOUN
can-1335	91	131	for	for	ADP
can-1335	91	132	processing	process	VERB
can-1335	91	133	triangular	triangular	NOUN
can-1335	91	134	probe	probe	NOUN
can-1335	91	135	images	image	NOUN
can-1335	91	136	evaluating	evaluate	VERB
can-1335	91	137	indicators	indicator	NOUN
can-1335	91	138	original	original	ADJ
can-1335	91	139	image	image	NOUN
can-1335	91	140	he	he	PRON
can-1335	91	141	algorithm	algorithm	PROPN
can-1335	91	142	ritinex	ritinex	PROPN
can-1335	91	143	algorithm	algorithm	PROPN
can-1335	91	144	textual	textual	ADJ
can-1335	91	145	algorithm	algorithm	NOUN
can-1335	91	146	clarity	clarity	NOUN
can-1335	91	147	3.71	3.71	NUM
can-1335	91	148	25.32	25.32	NUM
can-1335	91	149	17.52	17.52	NUM
can-1335	91	150	5.91	5.91	NUM
can-1335	91	151	contrast	contrast	NOUN
can-1335	91	152	13.39	13.39	NUM
can-1335	91	153	64.63	64.63	NUM
can-1335	91	154	28.80	28.80	NUM
can-1335	91	155	15.51	15.51	NUM
can-1335	91	156	peak	peak	NOUN
can-1335	91	157	signal	signal	NOUN
can-1335	91	158	-	-	PUNCT
can-1335	91	159	to	to	ADP
can-1335	91	160	-	-	PUNCT
can-1335	91	161	noise	noise	NOUN
can-1335	91	162	ratio	ratio	NOUN
can-1335	91	163	—	—	PUNCT
can-1335	91	164	9.88	9.88	NUM
can-1335	91	165	14.94	14.94	NUM
can-1335	91	166	18.67	18.67	NUM
can-1335	91	167	54	54	NUM
can-1335	91	168	probe	probe	NOUN
can-1335	91	169	in	in	ADP
can-1335	91	170	atomic	atomic	ADJ
can-1335	91	171	force	force	NOUN
can-1335	91	172	microscope	microscope	NOUN
can-1335	91	173	processed	process	VERB
can-1335	91	174	by	by	ADP
can-1335	91	175	three	three	NUM
can-1335	91	176	algorithms	algorithm	NOUN
can-1335	91	177	.	.	PUNCT
can-1335	92	1	(	(	PUNCT
can-1335	92	2	1	1	X
can-1335	92	3	)	)	PUNCT
can-1335	92	4	standard	standard	NOUN
can-1335	92	5	500	500	NUM
can-1335	92	6	nm	nm	ADJ
can-1335	92	7	scale	scale	NOUN
can-1335	92	8	grid	grid	NOUN
can-1335	92	9	(	(	PUNCT
can-1335	92	10	2	2	NUM
can-1335	92	11	)	)	PUNCT
can-1335	92	12	conductive	conductive	ADJ
can-1335	92	13	probe	probe	NOUN
can-1335	92	14	(	(	PUNCT
can-1335	92	15	3	3	X
can-1335	92	16	)	)	PUNCT
can-1335	92	17	triangular	triangular	NOUN
can-1335	92	18	probe	probe	NOUN
can-1335	92	19	from	from	ADP
can-1335	92	20	table	table	NOUN
can-1335	92	21	1	1	NUM
can-1335	92	22	to	to	ADP
can-1335	92	23	table	table	VERB
can-1335	92	24	3	3	NUM
can-1335	92	25	,	,	PUNCT
can-1335	92	26	it	it	PRON
can-1335	92	27	can	can	AUX
can-1335	92	28	be	be	AUX
can-1335	92	29	seen	see	VERB
can-1335	92	30	that	that	SCONJ
can-1335	92	31	the	the	DET
can-1335	92	32	clarity	clarity	NOUN
can-1335	92	33	of	of	ADP
can-1335	92	34	different	different	ADJ
can-1335	92	35	defocused	defocused	ADJ
can-1335	92	36	images	image	NOUN
can-1335	92	37	processed	process	VERB
can-1335	92	38	by	by	ADP
can-1335	92	39	he	he	PRON
can-1335	92	40	algorithm	algorithm	NOUN
can-1335	92	41	and	and	CCONJ
can-1335	92	42	retinex	retinex	ADJ
can-1335	92	43	algorithm	algorithm	NOUN
can-1335	92	44	is	be	AUX
can-1335	92	45	relatively	relatively	ADV
can-1335	92	46	high	high	ADJ
can-1335	92	47	.	.	PUNCT
can-1335	93	1	although	although	SCONJ
can-1335	93	2	the	the	DET
can-1335	93	3	clarity	clarity	NOUN
can-1335	93	4	of	of	ADP
can-1335	93	5	defocused	defocused	ADJ
can-1335	93	6	images	image	NOUN
can-1335	93	7	processed	process	VERB
can-1335	93	8	by	by	ADP
can-1335	93	9	the	the	DET
can-1335	93	10	algorithm	algorithm	NOUN
can-1335	93	11	proposed	propose	VERB
can-1335	93	12	in	in	ADP
can-1335	93	13	this	this	DET
can-1335	93	14	paper	paper	NOUN
can-1335	93	15	is	be	AUX
can-1335	93	16	not	not	PART
can-1335	93	17	very	very	ADV
can-1335	93	18	high	high	ADJ
can-1335	93	19	,	,	PUNCT
can-1335	93	20	it	it	PRON
can-1335	93	21	also	also	ADV
can-1335	93	22	improves	improve	VERB
can-1335	93	23	the	the	DET
can-1335	93	24	clarity	clarity	NOUN
can-1335	93	25	of	of	ADP
can-1335	93	26	different	different	ADJ
can-1335	93	27	defocused	defocused	ADJ
can-1335	93	28	images	image	NOUN
can-1335	93	29	to	to	ADP
can-1335	93	30	a	a	DET
can-1335	93	31	certain	certain	ADJ
can-1335	93	32	extent	extent	NOUN
can-1335	93	33	and	and	CCONJ
can-1335	93	34	can	can	AUX
can-1335	93	35	effectively	effectively	ADV
can-1335	93	36	improve	improve	VERB
can-1335	93	37	the	the	DET
can-1335	93	38	image	image	NOUN
can-1335	93	39	quality	quality	NOUN
can-1335	93	40	.	.	PUNCT
can-1335	94	1	the	the	DET
can-1335	94	2	contrast	contrast	NOUN
can-1335	94	3	of	of	ADP
can-1335	94	4	different	different	ADJ
can-1335	94	5	defocused	defocused	ADJ
can-1335	94	6	images	image	NOUN
can-1335	94	7	processed	process	VERB
can-1335	94	8	by	by	ADP
can-1335	94	9	he	he	PRON
can-1335	94	10	algorithm	algorithm	NOUN
can-1335	94	11	and	and	CCONJ
can-1335	94	12	retinex	retinex	ADJ
can-1335	94	13	algorithm	algorithm	NOUN
can-1335	94	14	is	be	AUX
can-1335	94	15	relatively	relatively	ADV
can-1335	94	16	high	high	ADJ
can-1335	94	17	.	.	PUNCT
can-1335	95	1	although	although	SCONJ
can-1335	95	2	the	the	DET
can-1335	95	3	contrast	contrast	NOUN
can-1335	95	4	of	of	ADP
can-1335	95	5	defocused	defocused	ADJ
can-1335	95	6	images	image	NOUN
can-1335	95	7	processed	process	VERB
can-1335	95	8	by	by	ADP
can-1335	95	9	the	the	DET
can-1335	95	10	algorithm	algorithm	NOUN
can-1335	95	11	proposed	propose	VERB
can-1335	95	12	in	in	ADP
can-1335	95	13	this	this	DET
can-1335	95	14	paper	paper	NOUN
can-1335	95	15	is	be	AUX
can-1335	95	16	not	not	PART
can-1335	95	17	very	very	ADV
can-1335	95	18	high	high	ADJ
can-1335	95	19	,	,	PUNCT
can-1335	95	20	it	it	PRON
can-1335	95	21	also	also	ADV
can-1335	95	22	improves	improve	VERB
can-1335	95	23	the	the	DET
can-1335	95	24	contrast	contrast	NOUN
can-1335	95	25	of	of	ADP
can-1335	95	26	different	different	ADJ
can-1335	95	27	defocused	defocused	ADJ
can-1335	95	28	images	image	NOUN
can-1335	95	29	to	to	ADP
can-1335	95	30	a	a	DET
can-1335	95	31	certain	certain	ADJ
can-1335	95	32	extent	extent	NOUN
can-1335	95	33	and	and	CCONJ
can-1335	95	34	can	can	AUX
can-1335	95	35	effectively	effectively	ADV
can-1335	95	36	improve	improve	VERB
can-1335	95	37	the	the	DET
can-1335	95	38	image	image	NOUN
can-1335	95	39	quality	quality	NOUN
can-1335	95	40	.	.	PUNCT
can-1335	96	1	it	it	PRON
can-1335	96	2	can	can	AUX
can-1335	96	3	be	be	AUX
can-1335	96	4	seen	see	VERB
can-1335	96	5	from	from	ADP
can-1335	96	6	the	the	DET
can-1335	96	7	peak	peak	NOUN
can-1335	96	8	signal	signal	NOUN
can-1335	96	9	-	-	PUNCT
can-1335	96	10	to	to	ADP
can-1335	96	11	-	-	PUNCT
can-1335	96	12	noise	noise	NOUN
can-1335	96	13	ratio	ratio	NOUN
can-1335	96	14	data	datum	NOUN
can-1335	96	15	that	that	PRON
can-1335	96	16	compared	compare	VERB
can-1335	96	17	with	with	ADP
can-1335	96	18	he	he	PRON
can-1335	96	19	algorithm	algorithm	NOUN
can-1335	96	20	and	and	CCONJ
can-1335	96	21	retinex	retinex	ADJ
can-1335	96	22	algorithm	algorithm	NOUN
can-1335	96	23	,	,	PUNCT
can-1335	96	24	the	the	DET
can-1335	96	25	proposed	propose	VERB
can-1335	96	26	algorithm	algorithm	NOUN
can-1335	96	27	has	have	VERB
can-1335	96	28	the	the	DET
can-1335	96	29	largest	large	ADJ
can-1335	96	30	peak	peak	NOUN
can-1335	96	31	signal	signal	NOUN
can-1335	96	32	-	-	PUNCT
can-1335	96	33	to	to	ADP
can-1335	96	34	-	-	PUNCT
can-1335	96	35	noise	noise	NOUN
can-1335	96	36	ratio	ratio	NOUN
can-1335	96	37	,	,	PUNCT
can-1335	96	38	the	the	DET
can-1335	96	39	most	most	ADJ
can-1335	96	40	information	information	NOUN
can-1335	96	41	retained	retain	VERB
can-1335	96	42	,	,	PUNCT
can-1335	96	43	the	the	DET
can-1335	96	44	least	least	ADJ
can-1335	96	45	distortion	distortion	NOUN
can-1335	96	46	and	and	CCONJ
can-1335	96	47	better	well	ADJ
can-1335	96	48	visual	visual	ADJ
can-1335	96	49	effect	effect	NOUN
can-1335	96	50	.	.	PUNCT
can-1335	97	1	therefore	therefore	ADV
can-1335	97	2	,	,	PUNCT
can-1335	97	3	through	through	ADP
can-1335	97	4	the	the	DET
can-1335	97	5	comparative	comparative	ADJ
can-1335	97	6	experiments	experiment	NOUN
can-1335	97	7	of	of	ADP
can-1335	97	8	standard	standard	ADJ
can-1335	97	9	nano	nano	NOUN
can-1335	97	10	-	-	PUNCT
can-1335	97	11	grid	grid	NOUN
can-1335	97	12	images	image	NOUN
can-1335	97	13	obtained	obtain	VERB
can-1335	97	14	under	under	ADP
can-1335	97	15	the	the	DET
can-1335	97	16	actual	actual	ADJ
can-1335	97	17	optical	optical	ADJ
can-1335	97	18	microscope	microscope	NOUN
can-1335	97	19	,	,	PUNCT
can-1335	97	20	triangular	triangular	NOUN
can-1335	97	21	probe	probe	NOUN
can-1335	97	22	and	and	CCONJ
can-1335	97	23	conductive	conductive	ADJ
can-1335	97	24	probe	probe	NOUN
can-1335	97	25	sample	sample	NOUN
can-1335	97	26	images	image	NOUN
can-1335	97	27	collected	collect	VERB
can-1335	97	28	under	under	ADP
can-1335	97	29	the	the	DET
can-1335	97	30	atomic	atomic	ADJ
can-1335	97	31	force	force	NOUN
can-1335	97	32	microscope	microscope	NOUN
can-1335	97	33	,	,	PUNCT
can-1335	97	34	it	it	PRON
can-1335	97	35	can	can	AUX
can-1335	97	36	be	be	AUX
can-1335	97	37	seen	see	VERB
can-1335	97	38	that	that	SCONJ
can-1335	97	39	the	the	DET
can-1335	97	40	image	image	NOUN
can-1335	97	41	enhancement	enhancement	NOUN
can-1335	97	42	effect	effect	NOUN
can-1335	97	43	of	of	ADP
can-1335	97	44	the	the	DET
can-1335	97	45	proposed	propose	VERB
can-1335	97	46	algorithm	algorithm	NOUN
can-1335	97	47	is	be	AUX
can-1335	97	48	relatively	relatively	ADV
can-1335	97	49	better	well	ADJ
can-1335	97	50	than	than	ADP
can-1335	97	51	that	that	PRON
can-1335	97	52	of	of	ADP
can-1335	97	53	histogram	histogram	NOUN
can-1335	97	54	equalization	equalization	NOUN
can-1335	97	55	algorithm	algorithm	NOUN
can-1335	97	56	(	(	PUNCT
can-1335	97	57	he	he	PRON
can-1335	97	58	)	)	PUNCT
can-1335	97	59	and	and	CCONJ
can-1335	97	60	retinex	retinex	ADJ
can-1335	97	61	algorithm	algorithm	NOUN
can-1335	97	62	(	(	PUNCT
can-1335	97	63	mer	mer	NOUN
can-1335	97	64	)	)	PUNCT
can-1335	97	65	,	,	PUNCT
can-1335	97	66	and	and	CCONJ
can-1335	97	67	can	can	AUX
can-1335	97	68	effectively	effectively	ADV
can-1335	97	69	improve	improve	VERB
can-1335	97	70	the	the	DET
can-1335	97	71	image	image	NOUN
can-1335	97	72	quality	quality	NOUN
can-1335	97	73	.	.	PUNCT
can-1335	98	1	5	5	X
can-1335	98	2	.	.	X
can-1335	98	3	conclusion	conclusion	NOUN
can-1335	98	4	the	the	DET
can-1335	98	5	out	out	ADP
can-1335	98	6	of	of	ADP
can-1335	98	7	focus	focus	NOUN
can-1335	98	8	images	image	NOUN
can-1335	98	9	collected	collect	VERB
can-1335	98	10	under	under	ADP
can-1335	98	11	micro	micro	ADJ
can-1335	98	12	-	-	ADJ
can-1335	98	13	nano	nano	ADJ
can-1335	98	14	optical	optical	ADJ
can-1335	98	15	microscope	microscope	NOUN
can-1335	98	16	are	be	AUX
can-1335	98	17	not	not	PART
can-1335	98	18	very	very	ADV
can-1335	98	19	clear	clear	ADJ
can-1335	98	20	in	in	ADP
can-1335	98	21	detail	detail	NOUN
can-1335	98	22	,	,	PUNCT
can-1335	98	23	edge	edge	NOUN
can-1335	98	24	and	and	CCONJ
can-1335	98	25	contour	contour	NOUN
can-1335	98	26	.	.	PUNCT
can-1335	99	1	combined	combine	VERB
can-1335	99	2	with	with	ADP
can-1335	99	3	nsct	nsct	PROPN
can-1335	99	4	image	image	NOUN
can-1335	99	5	transformation	transformation	NOUN
can-1335	99	6	method	method	NOUN
can-1335	99	7	,	,	PUNCT
can-1335	99	8	which	which	PRON
can-1335	99	9	has	have	VERB
can-1335	99	10	multi	multi	ADJ
can-1335	99	11	-	-	ADJ
can-1335	99	12	scale	scale	ADJ
can-1335	99	13	and	and	CCONJ
can-1335	99	14	multi	multi	ADJ
can-1335	99	15	-	-	ADJ
can-1335	99	16	directional	directional	ADJ
can-1335	99	17	,	,	PUNCT
can-1335	99	18	and	and	CCONJ
can-1335	99	19	superior	superior	ADJ
can-1335	99	20	transformation	transformation	NOUN
can-1335	99	21	function	function	NOUN
can-1335	99	22	,	,	PUNCT
can-1335	99	23	more	more	ADV
can-1335	99	24	texture	texture	NOUN
can-1335	99	25	and	and	CCONJ
can-1335	99	26	edge	edge	NOUN
can-1335	99	27	of	of	ADP
can-1335	99	28	the	the	DET
can-1335	99	29	image	image	NOUN
can-1335	99	30	can	can	AUX
can-1335	99	31	be	be	AUX
can-1335	99	32	obtained	obtain	VERB
can-1335	99	33	.	.	PUNCT
can-1335	100	1	at	at	ADP
can-1335	100	2	the	the	DET
can-1335	100	3	same	same	ADJ
can-1335	100	4	time	time	NOUN
can-1335	100	5	,	,	PUNCT
can-1335	100	6	an	an	DET
can-1335	100	7	adaptive	adaptive	ADJ
can-1335	100	8	noise	noise	NOUN
can-1335	100	9	reduction	reduction	NOUN
can-1335	100	10	and	and	CCONJ
can-1335	100	11	enhancement	enhancement	NOUN
can-1335	100	12	algorithm	algorithm	NOUN
can-1335	100	13	of	of	ADP
can-1335	100	14	micro	micro	ADJ
can-1335	100	15	-	-	ADJ
can-1335	100	16	nano	nano	ADJ
can-1335	100	17	optical	optical	ADJ
can-1335	100	18	image	image	NOUN
can-1335	100	19	based	base	VERB
can-1335	100	20	on	on	ADP
can-1335	100	21	nsct	nsct	PROPN
can-1335	100	22	is	be	AUX
can-1335	100	23	proposed	propose	VERB
can-1335	100	24	to	to	PART
can-1335	100	25	restore	restore	VERB
can-1335	100	26	the	the	DET
can-1335	100	27	defocus	defocus	ADJ
can-1335	100	28	image	image	NOUN
can-1335	100	29	obtained	obtain	VERB
can-1335	100	30	under	under	ADP
can-1335	100	31	the	the	DET
can-1335	100	32	microscope	microscope	NOUN
can-1335	100	33	.	.	PUNCT
can-1335	101	1	the	the	DET
can-1335	101	2	experimental	experimental	ADJ
can-1335	101	3	results	result	NOUN
can-1335	101	4	of	of	ADP
can-1335	101	5	standard	standard	ADJ
can-1335	101	6	nano	nano	NOUN
can-1335	101	7	-	-	PUNCT
can-1335	101	8	grid	grid	NOUN
can-1335	101	9	images	image	NOUN
can-1335	101	10	,	,	PUNCT
can-1335	101	11	triangular	triangular	NOUN
can-1335	101	12	probe	probe	NOUN
can-1335	101	13	images	image	NOUN
can-1335	101	14	and	and	CCONJ
can-1335	101	15	conductive	conductive	ADJ
can-1335	101	16	probe	probe	NOUN
can-1335	101	17	images	image	NOUN
can-1335	101	18	show	show	VERB
can-1335	101	19	that	that	SCONJ
can-1335	101	20	the	the	DET
can-1335	101	21	enhanced	enhanced	ADJ
can-1335	101	22	image	image	NOUN
can-1335	101	23	effect	effect	NOUN
can-1335	101	24	of	of	ADP
can-1335	101	25	the	the	DET
can-1335	101	26	algorithm	algorithm	NOUN
can-1335	101	27	proposed	propose	VERB
can-1335	101	28	in	in	ADP
can-1335	101	29	this	this	DET
can-1335	101	30	paper	paper	NOUN
can-1335	101	31	is	be	AUX
can-1335	101	32	better	well	ADJ
can-1335	101	33	than	than	ADP
can-1335	101	34	histogram	histogram	NOUN
can-1335	101	35	equalization	equalization	NOUN
can-1335	101	36	algorithm	algorithm	NOUN
can-1335	101	37	(	(	PUNCT
can-1335	101	38	he	he	PRON
can-1335	101	39	)	)	PUNCT
can-1335	101	40	and	and	CCONJ
can-1335	101	41	multi	multi	ADJ
can-1335	101	42	-	-	ADJ
can-1335	101	43	scale	scale	ADJ
can-1335	101	44	retinex	retinex	ADJ
can-1335	101	45	algorithm	algorithm	NOUN
can-1335	101	46	,	,	PUNCT
can-1335	101	47	which	which	PRON
can-1335	101	48	not	not	PART
can-1335	101	49	only	only	ADV
can-1335	101	50	improves	improve	VERB
can-1335	101	51	the	the	DET
can-1335	101	52	quality	quality	NOUN
can-1335	101	53	of	of	ADP
can-1335	101	54	defocused	defocused	ADJ
can-1335	101	55	images	image	NOUN
can-1335	101	56	,	,	PUNCT
can-1335	101	57	but	but	CCONJ
can-1335	101	58	is	be	AUX
can-1335	101	59	also	also	ADV
can-1335	101	60	conducive	conducive	ADJ
can-1335	101	61	to	to	ADP
can-1335	101	62	the	the	DET
can-1335	101	63	depth	depth	NOUN
can-1335	101	64	information	information	NOUN
can-1335	101	65	recovery	recovery	NOUN
can-1335	101	66	of	of	ADP
can-1335	101	67	subsequent	subsequent	ADJ
can-1335	101	68	defocused	defocused	ADJ
can-1335	101	69	images	image	NOUN
can-1335	101	70	.	.	PUNCT
can-1335	102	1	conflict	conflict	NOUN
can-1335	102	2	of	of	ADP
can-1335	102	3	interest	interest	NOUN
can-1335	102	4	no	no	DET
can-1335	102	5	conflict	conflict	NOUN
can-1335	102	6	of	of	ADP
can-1335	102	7	interest	interest	NOUN
can-1335	102	8	was	be	AUX
can-1335	102	9	reported	report	VERB
can-1335	102	10	by	by	ADP
can-1335	102	11	the	the	DET
can-1335	102	12	author	author	NOUN
can-1335	102	13	.	.	PUNCT
can-1335	103	1	acknowledgements	acknowledgement	NOUN
can-1335	103	2	project	project	NOUN
can-1335	103	3	:	:	PUNCT
can-1335	103	4	the	the	DET
can-1335	103	5	next	next	ADJ
can-1335	103	6	generation	generation	NOUN
can-1335	103	7	internet	internet	NOUN
can-1335	103	8	technology	technology	NOUN
can-1335	103	9	innovation	innovation	NOUN
can-1335	103	10	project	project	NOUN
can-1335	103	11	of	of	ADP
can-1335	103	12	saier	sai	ADJ
can-1335	103	13	network	network	NOUN
can-1335	103	14	of	of	ADP
can-1335	103	15	the	the	DET
can-1335	103	16	ministry	ministry	PROPN
can-1335	103	17	of	of	ADP
can-1335	103	18	education	education	NOUN
can-1335	103	19	,	,	PUNCT
can-1335	103	20	“	"	PUNCT
can-1335	103	21	emergency	emergency	NOUN
can-1335	103	22	and	and	CCONJ
can-1335	103	23	critical	critical	ADJ
can-1335	103	24	intelligent	intelligent	ADJ
can-1335	103	25	medical	medical	ADJ
can-1335	103	26	cloud	cloud	NOUN
can-1335	103	27	platform	platform	NOUN
can-1335	103	28	based	base	VERB
can-1335	103	29	on	on	ADP
can-1335	103	30	ipv6	ipv6	PROPN
can-1335	103	31	”	"	PUNCT
can-1335	103	32	(	(	PUNCT
can-1335	103	33	ngii20170709	ngii20170709	PROPN
can-1335	103	34	)	)	PUNCT
can-1335	103	35	.	.	PUNCT
can-1335	104	1	references	reference	NOUN
can-1335	104	2	1	1	NUM
can-1335	104	3	.	.	PUNCT
can-1335	104	4	hu	hu	PROPN
can-1335	104	5	r.	r.	PROPN
can-1335	104	6	scanning	scan	VERB
can-1335	104	7	near	near	ADP
can-1335	104	8	-	-	PUNCT
can-1335	104	9	field	field	NOUN
can-1335	104	10	optical	optical	ADJ
can-1335	104	11	microscopy	microscopy	NOUN
can-1335	104	12	:	:	PUNCT
can-1335	104	13	instrumentation	instrumentation	NOUN
can-1335	104	14	and	and	CCONJ
can-1335	104	15	applications	application	NOUN
can-1335	104	16	[	[	X
can-1335	104	17	master	master	NOUN
can-1335	104	18	’s	’s	PART
can-1335	104	19	thesis	thesis	NOUN
can-1335	104	20	]	]	X
can-1335	104	21	.	.	PUNCT
can-1335	105	1	nanjing	nanjing	PROPN
can-1335	105	2	:	:	PUNCT
can-1335	105	3	nanjing	nanjing	PROPN
can-1335	105	4	university	university	PROPN
can-1335	105	5	;	;	PUNCT
can-1335	105	6	2018	2018	NUM
can-1335	105	7	.	.	PUNCT
can-1335	106	1	p.	p.	NOUN
can-1335	106	2	91	91	NUM
can-1335	106	3	.	.	PUNCT
can-1335	107	1	2	2	X
can-1335	107	2	.	.	X
can-1335	107	3	lv	lv	PROPN
can-1335	107	4	m	m	PROPN
can-1335	107	5	,	,	PUNCT
can-1335	107	6	yu	yu	PROPN
can-1335	107	7	z.	z.	PROPN
can-1335	107	8	study	study	PROPN
can-1335	107	9	on	on	ADP
can-1335	107	10	automatic	automatic	ADJ
can-1335	107	11	focusing	focus	VERB
can-1335	107	12	algorithm	algorithm	NOUN
can-1335	107	13	of	of	ADP
can-1335	107	14	optical	optical	ADJ
can-1335	107	15	microscope	microscope	NOUN
can-1335	107	16	.	.	PUNCT
can-1335	108	1	china	china	PROPN
can-1335	108	2	measurement	measurement	PROPN
can-1335	108	3	&	&	CCONJ
can-1335	108	4	test	test	PROPN
can-1335	108	5	2018	2018	NUM
can-1335	108	6	;	;	PUNCT
can-1335	108	7	44(6	44(6	NUM
can-1335	108	8	):	):	PUNCT
can-1335	108	9	11–16	11–16	NUM
can-1335	108	10	.	.	PUNCT
can-1335	109	1	3	3	X
can-1335	109	2	.	.	X
can-1335	110	1	he	he	PRON
can-1335	110	2	z.	z.	PROPN
can-1335	110	3	research	research	NOUN
can-1335	110	4	on	on	ADP
can-1335	110	5	depth	depth	NOUN
can-1335	110	6	recovery	recovery	NOUN
can-1335	110	7	based	base	VERB
can-1335	110	8	on	on	ADP
can-1335	110	9	defocused	defocused	ADJ
can-1335	110	10	images	image	NOUN
can-1335	110	11	[	[	X
can-1335	110	12	master	master	NOUN
can-1335	110	13	’s	’s	PART
can-1335	110	14	thesis	thesis	NOUN
can-1335	110	15	]	]	X
can-1335	110	16	.	.	PUNCT
can-1335	111	1	harbin	harbin	NOUN
can-1335	111	2	:	:	PUNCT
can-1335	111	3	northeast	northeast	ADJ
can-1335	111	4	agricultural	agricultural	ADJ
can-1335	111	5	university	university	NOUN
can-1335	111	6	;	;	PUNCT
can-1335	111	7	2014	2014	NUM
can-1335	111	8	.	.	PUNCT
can-1335	112	1	p.	p.	NOUN
can-1335	112	2	62	62	NUM
can-1335	112	3	.	.	PUNCT
can-1335	113	1	4	4	NUM
can-1335	113	2	.	.	X
can-1335	113	3	zhu	zhu	PROPN
can-1335	114	1	z	z	X
can-1335	114	2	,	,	PUNCT
can-1335	114	3	yin	yin	PROPN
can-1335	114	4	h	h	NOUN
can-1335	114	5	,	,	PUNCT
can-1335	114	6	chai	chai	NOUN
can-1335	114	7	y	y	PROPN
can-1335	114	8	,	,	PUNCT
can-1335	114	9	et	et	PROPN
can-1335	114	10	al	al	PROPN
can-1335	114	11	.	.	PUNCT
can-1335	115	1	a	a	DET
can-1335	115	2	novel	novel	ADJ
can-1335	115	3	multi	multi	ADJ
can-1335	115	4	-	-	ADJ
can-1335	115	5	modality	modality	ADJ
can-1335	115	6	image	image	NOUN
can-1335	115	7	fusion	fusion	NOUN
can-1335	115	8	method	method	NOUN
can-1335	115	9	based	base	VERB
can-1335	115	10	on	on	ADP
can-1335	115	11	image	image	NOUN
can-1335	115	12	decomposition	decomposition	NOUN
can-1335	115	13	and	and	CCONJ
can-1335	115	14	sparse	sparse	ADJ
can-1335	115	15	representation	representation	NOUN
can-1335	115	16	.	.	PUNCT
can-1335	116	1	information	information	NOUN
can-1335	116	2	sciences	science	NOUN
can-1335	116	3	2018	2018	NUM
can-1335	116	4	;	;	PUNCT
can-1335	116	5	432	432	NUM
can-1335	116	6	:	:	PUNCT
can-1335	117	1	516–529	516–529	NUM
can-1335	117	2	.	.	PUNCT
can-1335	117	3	5	5	NUM
can-1335	117	4	.	.	X
can-1335	117	5	chen	chen	PROPN
can-1335	117	6	bh	bh	PROPN
can-1335	117	7	,	,	PUNCT
can-1335	117	8	wu	wu	PROPN
can-1335	117	9	yl	yl	PROPN
can-1335	117	10	.	.	PUNCT
can-1335	118	1	an	an	DET
can-1335	118	2	entropy	entropy	ADV
can-1335	118	3	-	-	PUNCT
can-1335	118	4	preserving	preserve	VERB
can-1335	118	5	histogram	histogram	NOUN
can-1335	118	6	modification	modification	NOUN
can-1335	118	7	algorithm	algorithm	NOUN
can-1335	118	8	for	for	ADP
can-1335	118	9	image	image	NOUN
can-1335	118	10	contrast	contrast	NOUN
can-1335	118	11	enhancement	enhancement	NOUN
can-1335	118	12	.	.	PUNCT
can-1335	119	1	proceedings	proceeding	NOUN
can-1335	119	2	of	of	ADP
can-1335	119	3	the	the	DET
can-1335	119	4	2017	2017	NUM
can-1335	119	5	ieee	ieee	NOUN
can-1335	119	6	international	international	ADJ
can-1335	119	7	conference	conference	NOUN
can-1335	119	8	on	on	ADP
can-1335	119	9	applied	apply	VERB
can-1335	119	10	system	system	NOUN
can-1335	119	11	innovation	innovation	NOUN
can-1335	119	12	(	(	PUNCT
can-1335	119	13	icasi	icasi	NOUN
can-1335	119	14	)	)	PUNCT
can-1335	119	15	;	;	PUNCT
can-1335	119	16	2017	2017	NUM
can-1335	119	17	;	;	PUNCT
can-1335	119	18	sapporo	sapporo	PROPN
can-1335	119	19	.	.	PUNCT
can-1335	120	1	new	new	PROPN
can-1335	120	2	york	york	PROPN
can-1335	120	3	:	:	PUNCT
can-1335	120	4	ieee	ieee	NOUN
can-1335	120	5	;	;	PUNCT
can-1335	120	6	2017	2017	NUM
can-1335	120	7	.	.	PUNCT
can-1335	121	1	p.	p.	NOUN
can-1335	121	2	1285	1285	NUM
can-1335	121	3	–	–	PUNCT
can-1335	121	4	1288	1288	NUM
can-1335	121	5	.	.	PUNCT
can-1335	122	1	6	6	NUM
can-1335	122	2	.	.	X
can-1335	122	3	zhang	zhang	PROPN
can-1335	122	4	s.	s.	PROPN
can-1335	122	5	research	research	PROPN
can-1335	122	6	on	on	ADP
can-1335	122	7	enhancement	enhancement	NOUN
can-1335	122	8	algorithms	algorithm	NOUN
can-1335	122	9	of	of	ADP
can-1335	122	10	low	low	ADJ
can-1335	122	11	illumination	illumination	NOUN
can-1335	122	12	images	image	NOUN
can-1335	122	13	and	and	CCONJ
can-1335	122	14	videos	video	NOUN
can-1335	122	15	based	base	VERB
can-1335	122	16	on	on	ADP
can-1335	122	17	retinex	retinex	ADJ
can-1335	122	18	55	55	NUM
can-1335	122	19	theory	theory	NOUN
can-1335	122	20	[	[	X
can-1335	122	21	master	master	NOUN
can-1335	122	22	’s	’s	PART
can-1335	122	23	thesis	thesis	NOUN
can-1335	122	24	]	]	X
can-1335	122	25	.	.	PUNCT
can-1335	123	1	nanjing	nanjing	PROPN
can-1335	123	2	:	:	PUNCT
can-1335	123	3	nanjing	nanjing	PROPN
can-1335	123	4	university	university	PROPN
can-1335	123	5	of	of	ADP
can-1335	123	6	posts	post	NOUN
can-1335	123	7	and	and	CCONJ
can-1335	123	8	telecommunications	telecommunication	NOUN
can-1335	123	9	;	;	PUNCT
can-1335	123	10	2018	2018	NUM
can-1335	123	11	.	.	PUNCT
can-1335	124	1	p.	p.	NOUN
can-1335	124	2	76	76	NUM
can-1335	124	3	.	.	PUNCT
can-1335	125	1	7	7	X
can-1335	125	2	.	.	X
can-1335	125	3	gao	gao	PROPN
can-1335	125	4	y	y	PROPN
can-1335	125	5	,	,	PUNCT
can-1335	125	6	liu	liu	PROPN
can-1335	125	7	g	g	PROPN
can-1335	125	8	,	,	PUNCT
can-1335	125	9	ma	ma	PROPN
can-1335	125	10	c.	c.	PROPN
can-1335	125	11	dense	dense	ADJ
can-1335	125	12	hazy	hazy	ADJ
can-1335	125	13	image	image	NOUN
can-1335	125	14	enhancement	enhancement	NOUN
can-1335	125	15	based	base	VERB
can-1335	125	16	on	on	ADP
can-1335	125	17	generalized	generalized	ADJ
can-1335	125	18	imaging	imaging	NOUN
can-1335	125	19	model	model	NOUN
can-1335	125	20	.	.	PUNCT
can-1335	125	21	2018	2018	NUM
can-1335	125	22	ieee	ieee	NOUN
can-1335	125	23	3rd	3rd	PROPN
can-1335	125	24	international	international	ADJ
can-1335	125	25	conference	conference	NOUN
can-1335	125	26	on	on	ADP
can-1335	125	27	image	image	NOUN
can-1335	125	28	,	,	PUNCT
can-1335	125	29	vision	vision	NOUN
can-1335	125	30	and	and	CCONJ
can-1335	125	31	computing	computing	NOUN
can-1335	125	32	(	(	PUNCT
can-1335	125	33	icivc	icivc	NOUN
can-1335	125	34	)	)	PUNCT
can-1335	125	35	;	;	PUNCT
can-1335	125	36	jun	jun	PROPN
can-1335	125	37	27	27	NUM
can-1335	125	38	–	–	PUNCT
can-1335	125	39	jun	jun	PROPN
can-1335	125	40	29	29	NUM
can-1335	125	41	,	,	PUNCT
can-1335	125	42	2018	2018	NUM
can-1335	125	43	;	;	PUNCT
can-1335	125	44	chongqing	chongqe	VERB
can-1335	125	45	.	.	PUNCT
can-1335	126	1	new	new	PROPN
can-1335	126	2	york	york	PROPN
can-1335	126	3	:	:	PUNCT
can-1335	126	4	ieee	ieee	NOUN
can-1335	126	5	;	;	PUNCT
can-1335	126	6	2018	2018	NUM
can-1335	126	7	.	.	PUNCT
can-1335	127	1	p.	p.	NOUN
can-1335	127	2	410–414	410–414	NUM
can-1335	127	3	.	.	PUNCT
can-1335	127	4	8	8	NUM
can-1335	127	5	.	.	X
can-1335	128	1	zhang	zhang	PROPN
can-1335	128	2	d.	d.	PROPN
can-1335	128	3	research	research	PROPN
can-1335	128	4	on	on	ADP
can-1335	128	5	adaptive	adaptive	ADJ
can-1335	128	6	compressive	compressive	ADJ
can-1335	128	7	sampling	sample	VERB
can-1335	128	8	imaging	imaging	NOUN
can-1335	128	9	based	base	VERB
can-1335	128	10	on	on	ADP
can-1335	128	11	wavelet	wavelet	NOUN
can-1335	128	12	transformation	transformation	NOUN
can-1335	129	1	[	[	X
can-1335	129	2	master	master	NOUN
can-1335	129	3	’s	’s	PART
can-1335	129	4	thesis	thesis	NOUN
can-1335	129	5	]	]	X
can-1335	129	6	.	.	PUNCT
can-1335	130	1	chengdu	chengdu	PROPN
can-1335	130	2	:	:	PUNCT
can-1335	130	3	southwest	southwest	PROPN
can-1335	130	4	jiaotong	jiaotong	PROPN
can-1335	130	5	university	university	PROPN
can-1335	130	6	;	;	PUNCT
can-1335	130	7	2018	2018	NUM
can-1335	130	8	.	.	PUNCT
can-1335	131	1	p.	p.	NOUN
can-1335	131	2	69	69	NUM
can-1335	131	3	.	.	PUNCT
can-1335	132	1	9	9	X
can-1335	132	2	.	.	PUNCT
can-1335	133	1	liu	liu	PROPN
can-1335	133	2	z	z	PROPN
can-1335	133	3	,	,	PUNCT
can-1335	133	4	xu	xu	PROPN
can-1335	133	5	t	t	PROPN
can-1335	133	6	,	,	PUNCT
can-1335	133	7	song	song	NOUN
can-1335	133	8	y	y	PROPN
can-1335	133	9	,	,	PUNCT
can-1335	133	10	et	et	PROPN
can-1335	133	11	al	al	PROPN
can-1335	133	12	.	.	PUNCT
can-1335	133	13	image	image	NOUN
can-1335	133	14	fusion	fusion	NOUN
can-1335	133	15	technology	technology	NOUN
can-1335	133	16	based	base	VERB
can-1335	133	17	on	on	ADP
can-1335	133	18	nsct	nsct	PROPN
can-1335	133	19	and	and	CCONJ
can-1335	133	20	robust	robust	ADJ
can-1335	133	21	principal	principal	ADJ
can-1335	133	22	component	component	NOUN
can-1335	133	23	analysis	analysis	NOUN
can-1335	133	24	model	model	NOUN
can-1335	133	25	with	with	ADP
can-1335	133	26	similar	similar	ADJ
can-1335	133	27	information	information	NOUN
can-1335	133	28	.	.	PUNCT
can-1335	134	1	journal	journal	PROPN
can-1335	134	2	of	of	ADP
can-1335	134	3	jilin	jilin	PROPN
can-1335	134	4	university	university	PROPN
can-1335	134	5	(	(	PUNCT
can-1335	134	6	engineering	engineering	NOUN
can-1335	134	7	and	and	CCONJ
can-1335	134	8	technology	technology	NOUN
can-1335	134	9	edition	edition	NOUN
can-1335	134	10	)	)	PUNCT
can-1335	134	11	2018	2018	NUM
can-1335	134	12	;	;	PUNCT
can-1335	134	13	(	(	PUNCT
can-1335	134	14	5	5	NUM
can-1335	134	15	):	):	PUNCT
can-1335	134	16	1614–1620	1614–1620	NUM
can-1335	134	17	.	.	PUNCT
can-1335	134	18	10	10	NUM
can-1335	134	19	.	.	PUNCT
can-1335	135	1	liu	liu	PROPN
can-1335	135	2	l.	l.	PROPN
can-1335	135	3	research	research	PROPN
can-1335	135	4	on	on	ADP
can-1335	135	5	image	image	NOUN
can-1335	135	6	enhancement	enhancement	NOUN
can-1335	135	7	algorithm	algorithm	NOUN
can-1335	135	8	based	base	VERB
can-1335	135	9	on	on	ADP
can-1335	135	10	nsct	nsct	PROPN
can-1335	136	1	[	[	X
can-1335	136	2	master	master	NOUN
can-1335	136	3	’s	’s	PART
can-1335	136	4	thesis	thesis	NOUN
can-1335	136	5	]	]	X
can-1335	136	6	.	.	PUNCT
can-1335	137	1	urumqi	urumqi	PROPN
can-1335	137	2	:	:	PUNCT
can-1335	137	3	xinjiang	xinjiang	PROPN
can-1335	137	4	university	university	PROPN
can-1335	137	5	;	;	PUNCT
can-1335	137	6	2016	2016	NUM
can-1335	137	7	.	.	PUNCT
can-1335	138	1	11	11	NUM
can-1335	138	2	.	.	X
can-1335	138	3	pal	pal	PROPN
can-1335	138	4	ns	ns	PROPN
can-1335	138	5	,	,	PUNCT
can-1335	138	6	lal	lal	PROPN
can-1335	138	7	s	s	PART
can-1335	138	8	,	,	PUNCT
can-1335	138	9	shinghal	shinghal	NOUN
can-1335	138	10	k.	k.	NOUN
can-1335	138	11	a	a	DET
can-1335	138	12	robust	robust	ADJ
can-1335	138	13	framework	framework	NOUN
can-1335	138	14	for	for	ADP
can-1335	138	15	visibility	visibility	NOUN
can-1335	138	16	enhancement	enhancement	NOUN
can-1335	138	17	of	of	ADP
can-1335	138	18	foggy	foggy	ADJ
can-1335	138	19	images	image	NOUN
can-1335	138	20	.	.	PUNCT
can-1335	139	1	engineering	engineering	NOUN
can-1335	139	2	science	science	NOUN
can-1335	139	3	and	and	CCONJ
can-1335	139	4	technology	technology	NOUN
can-1335	139	5	2019	2019	NUM
can-1335	139	6	;	;	PUNCT
can-1335	139	7	22(1	22(1	NUM
can-1335	139	8	):	):	PUNCT
can-1335	139	9	22–32	22–32	NUM
can-1335	139	10	.	.	PUNCT
can-1335	140	1	12	12	NUM
can-1335	140	2	.	.	PUNCT
can-1335	141	1	chen	chen	PROPN
can-1335	141	2	b	b	PROPN
can-1335	141	3	,	,	PUNCT
can-1335	141	4	wu	wu	PROPN
can-1335	141	5	y	y	PROPN
can-1335	141	6	,	,	PUNCT
can-1335	141	7	shi	shi	PROPN
can-1335	141	8	l.	l.	PROPN
can-1335	141	9	a	a	DET
can-1335	141	10	fast	fast	ADJ
can-1335	141	11	image	image	NOUN
can-1335	141	12	contrast	contrast	NOUN
can-1335	141	13	enhancement	enhancement	NOUN
can-1335	141	14	algorithm	algorithm	NOUN
can-1335	141	15	using	use	VERB
can-1335	141	16	entropy	entropy	NOUN
can-1335	141	17	-	-	PUNCT
can-1335	141	18	preserving	preserve	VERB
can-1335	141	19	mapping	mapping	NOUN
can-1335	141	20	prior	prior	ADV
can-1335	141	21	.	.	PUNCT
can-1335	142	1	ieee	ieee	NOUN
can-1335	142	2	transactions	transaction	NOUN
can-1335	142	3	on	on	ADP
can-1335	142	4	circuits	circuit	NOUN
can-1335	142	5	and	and	CCONJ
can-1335	142	6	systems	system	NOUN
can-1335	142	7	for	for	ADP
can-1335	142	8	video	video	NOUN
can-1335	142	9	technology	technology	NOUN
can-1335	142	10	2017	2017	NUM
can-1335	142	11	;	;	PUNCT
can-1335	142	12	20(2	20(2	NUM
can-1335	142	13	):	):	PUNCT
can-1335	142	14	212–232	212–232	NUM
can-1335	142	15	.	.	PUNCT