Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization

Image enhancement has been widely applied to medical science, industry, agriculture, and military, for which it is very important to preserve brightness and structures. In order to overcome the shortcomings of over-enhancement and over-smoothing of traditional histogram equalization methods, this pa...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Huang, Zhenghua [verfasserIn] Wang, Zhicheng [verfasserIn] Zhang, Jing [verfasserIn] Li, Qian [verfasserIn] Shi, Yu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Image enhancement Histogram clipping and equalization Brightness and structure preservation

Übergeordnetes Werk:	Enthalten in: Optik - München : Elsevier, 2001, 226
Übergeordnetes Werk:	volume:226

DOI / URN:	10.1016/j.ijleo.2020.165877

Katalog-ID:	ELV005104149

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520			\|a Image enhancement has been widely applied to medical science, industry, agriculture, and military, for which it is very important to preserve brightness and structures. In order to overcome the shortcomings of over-enhancement and over-smoothing of traditional histogram equalization methods, this paper proposes an effective image enhancement strategy named as contrast limited dynamic quadri-histogram equalization (CLDQHE) which includes three steps: (1) the original histogram of an image is divided by a proposed threshold scheme into four sub-histograms. (2) An adaptive histogram clipping method is proposed to control the enhancement rate, which can adjust the clipping threshold. (3) Each sub-histogram is mapped to a new dynamic range and is equalized independently. Both quantitatively and qualitatively experimental results demonstrate that the proposed CLDQHE method can yield pleasing results with the preservation of brightness and structures, and even outperforms the state-of-the-arts.
650		4	\|a Image enhancement
650		4	\|a Histogram clipping and equalization
650		4	\|a Brightness and structure preservation
700	1		\|a Wang, Zhicheng \|e verfasserin \|4 aut
700	1		\|a Zhang, Jing \|e verfasserin \|4 aut
700	1		\|a Li, Qian \|e verfasserin \|0 (orcid)0000-0003-3982-9548 \|4 aut
700	1		\|a Shi, Yu \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Optik \|d München : Elsevier, 2001 \|g 226 \|h Online-Ressource \|w (DE-627)325791988 \|w (DE-600)2040037-8 \|w (DE-576)094480680 \|x 1618-1336 \|7 nnns
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author_variant	z h zh z w zw j z jz q l ql y s ys
matchkey_str	article:16181336:2020----::mgehneetihhpeevtoobihnsadtutrsymlyncnrslmtdya
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publishDate	2020
allfields	10.1016/j.ijleo.2020.165877 doi (DE-627)ELV005104149 (ELSEVIER)S0030-4026(20)31694-6 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Huang, Zhenghua verfasserin aut Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Image enhancement has been widely applied to medical science, industry, agriculture, and military, for which it is very important to preserve brightness and structures. In order to overcome the shortcomings of over-enhancement and over-smoothing of traditional histogram equalization methods, this paper proposes an effective image enhancement strategy named as contrast limited dynamic quadri-histogram equalization (CLDQHE) which includes three steps: (1) the original histogram of an image is divided by a proposed threshold scheme into four sub-histograms. (2) An adaptive histogram clipping method is proposed to control the enhancement rate, which can adjust the clipping threshold. (3) Each sub-histogram is mapped to a new dynamic range and is equalized independently. Both quantitatively and qualitatively experimental results demonstrate that the proposed CLDQHE method can yield pleasing results with the preservation of brightness and structures, and even outperforms the state-of-the-arts. Image enhancement Histogram clipping and equalization Brightness and structure preservation Wang, Zhicheng verfasserin aut Zhang, Jing verfasserin aut Li, Qian verfasserin (orcid)0000-0003-3982-9548 aut Shi, Yu verfasserin aut Enthalten in Optik München : Elsevier, 2001 226 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:226 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 226
spelling	10.1016/j.ijleo.2020.165877 doi (DE-627)ELV005104149 (ELSEVIER)S0030-4026(20)31694-6 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Huang, Zhenghua verfasserin aut Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Image enhancement has been widely applied to medical science, industry, agriculture, and military, for which it is very important to preserve brightness and structures. In order to overcome the shortcomings of over-enhancement and over-smoothing of traditional histogram equalization methods, this paper proposes an effective image enhancement strategy named as contrast limited dynamic quadri-histogram equalization (CLDQHE) which includes three steps: (1) the original histogram of an image is divided by a proposed threshold scheme into four sub-histograms. (2) An adaptive histogram clipping method is proposed to control the enhancement rate, which can adjust the clipping threshold. (3) Each sub-histogram is mapped to a new dynamic range and is equalized independently. Both quantitatively and qualitatively experimental results demonstrate that the proposed CLDQHE method can yield pleasing results with the preservation of brightness and structures, and even outperforms the state-of-the-arts. Image enhancement Histogram clipping and equalization Brightness and structure preservation Wang, Zhicheng verfasserin aut Zhang, Jing verfasserin aut Li, Qian verfasserin (orcid)0000-0003-3982-9548 aut Shi, Yu verfasserin aut Enthalten in Optik München : Elsevier, 2001 226 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:226 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 226
allfields_unstemmed	10.1016/j.ijleo.2020.165877 doi (DE-627)ELV005104149 (ELSEVIER)S0030-4026(20)31694-6 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Huang, Zhenghua verfasserin aut Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Image enhancement has been widely applied to medical science, industry, agriculture, and military, for which it is very important to preserve brightness and structures. In order to overcome the shortcomings of over-enhancement and over-smoothing of traditional histogram equalization methods, this paper proposes an effective image enhancement strategy named as contrast limited dynamic quadri-histogram equalization (CLDQHE) which includes three steps: (1) the original histogram of an image is divided by a proposed threshold scheme into four sub-histograms. (2) An adaptive histogram clipping method is proposed to control the enhancement rate, which can adjust the clipping threshold. (3) Each sub-histogram is mapped to a new dynamic range and is equalized independently. Both quantitatively and qualitatively experimental results demonstrate that the proposed CLDQHE method can yield pleasing results with the preservation of brightness and structures, and even outperforms the state-of-the-arts. Image enhancement Histogram clipping and equalization Brightness and structure preservation Wang, Zhicheng verfasserin aut Zhang, Jing verfasserin aut Li, Qian verfasserin (orcid)0000-0003-3982-9548 aut Shi, Yu verfasserin aut Enthalten in Optik München : Elsevier, 2001 226 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:226 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 226
allfieldsGer	10.1016/j.ijleo.2020.165877 doi (DE-627)ELV005104149 (ELSEVIER)S0030-4026(20)31694-6 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Huang, Zhenghua verfasserin aut Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Image enhancement has been widely applied to medical science, industry, agriculture, and military, for which it is very important to preserve brightness and structures. In order to overcome the shortcomings of over-enhancement and over-smoothing of traditional histogram equalization methods, this paper proposes an effective image enhancement strategy named as contrast limited dynamic quadri-histogram equalization (CLDQHE) which includes three steps: (1) the original histogram of an image is divided by a proposed threshold scheme into four sub-histograms. (2) An adaptive histogram clipping method is proposed to control the enhancement rate, which can adjust the clipping threshold. (3) Each sub-histogram is mapped to a new dynamic range and is equalized independently. Both quantitatively and qualitatively experimental results demonstrate that the proposed CLDQHE method can yield pleasing results with the preservation of brightness and structures, and even outperforms the state-of-the-arts. Image enhancement Histogram clipping and equalization Brightness and structure preservation Wang, Zhicheng verfasserin aut Zhang, Jing verfasserin aut Li, Qian verfasserin (orcid)0000-0003-3982-9548 aut Shi, Yu verfasserin aut Enthalten in Optik München : Elsevier, 2001 226 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:226 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 226
allfieldsSound	10.1016/j.ijleo.2020.165877 doi (DE-627)ELV005104149 (ELSEVIER)S0030-4026(20)31694-6 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Huang, Zhenghua verfasserin aut Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Image enhancement has been widely applied to medical science, industry, agriculture, and military, for which it is very important to preserve brightness and structures. In order to overcome the shortcomings of over-enhancement and over-smoothing of traditional histogram equalization methods, this paper proposes an effective image enhancement strategy named as contrast limited dynamic quadri-histogram equalization (CLDQHE) which includes three steps: (1) the original histogram of an image is divided by a proposed threshold scheme into four sub-histograms. (2) An adaptive histogram clipping method is proposed to control the enhancement rate, which can adjust the clipping threshold. (3) Each sub-histogram is mapped to a new dynamic range and is equalized independently. Both quantitatively and qualitatively experimental results demonstrate that the proposed CLDQHE method can yield pleasing results with the preservation of brightness and structures, and even outperforms the state-of-the-arts. Image enhancement Histogram clipping and equalization Brightness and structure preservation Wang, Zhicheng verfasserin aut Zhang, Jing verfasserin aut Li, Qian verfasserin (orcid)0000-0003-3982-9548 aut Shi, Yu verfasserin aut Enthalten in Optik München : Elsevier, 2001 226 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:226 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 226
language	English
source	Enthalten in Optik 226 volume:226
sourceStr	Enthalten in Optik 226 volume:226
format_phy_str_mv	Article
bklname	Optik Quantenoptik nichtlineare Optik Technische Optik Optoelektronik Optische Nachrichtentechnik Methoden und Techniken der Biologie
institution	findex.gbv.de
topic_facet	Image enhancement Histogram clipping and equalization Brightness and structure preservation
dewey-raw	620
isfreeaccess_bool	false
container_title	Optik
authorswithroles_txt_mv	Huang, Zhenghua @@aut@@ Wang, Zhicheng @@aut@@ Zhang, Jing @@aut@@ Li, Qian @@aut@@ Shi, Yu @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
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author	Huang, Zhenghua
spellingShingle	Huang, Zhenghua ddc 620 bkl 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 misc Image enhancement misc Histogram clipping and equalization misc Brightness and structure preservation Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization
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topic_title	620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization Image enhancement Histogram clipping and equalization Brightness and structure preservation
topic	ddc 620 bkl 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 misc Image enhancement misc Histogram clipping and equalization misc Brightness and structure preservation
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title	Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization
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title_full	Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization
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journal	Optik
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author_browse	Huang, Zhenghua Wang, Zhicheng Zhang, Jing Li, Qian Shi, Yu
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title_sort	image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization
title_auth	Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization
abstract	Image enhancement has been widely applied to medical science, industry, agriculture, and military, for which it is very important to preserve brightness and structures. In order to overcome the shortcomings of over-enhancement and over-smoothing of traditional histogram equalization methods, this paper proposes an effective image enhancement strategy named as contrast limited dynamic quadri-histogram equalization (CLDQHE) which includes three steps: (1) the original histogram of an image is divided by a proposed threshold scheme into four sub-histograms. (2) An adaptive histogram clipping method is proposed to control the enhancement rate, which can adjust the clipping threshold. (3) Each sub-histogram is mapped to a new dynamic range and is equalized independently. Both quantitatively and qualitatively experimental results demonstrate that the proposed CLDQHE method can yield pleasing results with the preservation of brightness and structures, and even outperforms the state-of-the-arts.
abstractGer	Image enhancement has been widely applied to medical science, industry, agriculture, and military, for which it is very important to preserve brightness and structures. In order to overcome the shortcomings of over-enhancement and over-smoothing of traditional histogram equalization methods, this paper proposes an effective image enhancement strategy named as contrast limited dynamic quadri-histogram equalization (CLDQHE) which includes three steps: (1) the original histogram of an image is divided by a proposed threshold scheme into four sub-histograms. (2) An adaptive histogram clipping method is proposed to control the enhancement rate, which can adjust the clipping threshold. (3) Each sub-histogram is mapped to a new dynamic range and is equalized independently. Both quantitatively and qualitatively experimental results demonstrate that the proposed CLDQHE method can yield pleasing results with the preservation of brightness and structures, and even outperforms the state-of-the-arts.
abstract_unstemmed	Image enhancement has been widely applied to medical science, industry, agriculture, and military, for which it is very important to preserve brightness and structures. In order to overcome the shortcomings of over-enhancement and over-smoothing of traditional histogram equalization methods, this paper proposes an effective image enhancement strategy named as contrast limited dynamic quadri-histogram equalization (CLDQHE) which includes three steps: (1) the original histogram of an image is divided by a proposed threshold scheme into four sub-histograms. (2) An adaptive histogram clipping method is proposed to control the enhancement rate, which can adjust the clipping threshold. (3) Each sub-histogram is mapped to a new dynamic range and is equalized independently. Both quantitatively and qualitatively experimental results demonstrate that the proposed CLDQHE method can yield pleasing results with the preservation of brightness and structures, and even outperforms the state-of-the-arts.
collection_details	GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335
title_short	Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization
remote_bool	true
author2	Wang, Zhicheng Zhang, Jing Li, Qian Shi, Yu
author2Str	Wang, Zhicheng Zhang, Jing Li, Qian Shi, Yu
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doi_str	10.1016/j.ijleo.2020.165877
up_date	2024-07-06T16:49:50.518Z
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In order to overcome the shortcomings of over-enhancement and over-smoothing of traditional histogram equalization methods, this paper proposes an effective image enhancement strategy named as contrast limited dynamic quadri-histogram equalization (CLDQHE) which includes three steps: (1) the original histogram of an image is divided by a proposed threshold scheme into four sub-histograms. (2) An adaptive histogram clipping method is proposed to control the enhancement rate, which can adjust the clipping threshold. (3) Each sub-histogram is mapped to a new dynamic range and is equalized independently. 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Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization

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