2014 9th International Conference on Industrial and Information Systems (ICIIS) 2014
DOI: 10.1109/iciinfs.2014.7036526
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Entropy based optimized weighted histogram equalization for Hazy Images

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Cited by 3 publications
(2 citation statements)
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“…Let us enhance the quality of an image through a certain transformation function thickmathspaceT)(. Now consider the WHE [42] technique which is applied over the greyscale image and it is given as in (2)–(4) Pw)(Gk=T}{P)(Gk Pw)(Gk={1em4ptPw^)(Gk1emP)(Gk>τ10thickmathspacethickmathspacethickmathspacethickmathspacethickmathspacethickmathspacethickmathspacethickmathspacethickmathspacethickmathspace1emP)(Gk<τ2τ1 and τ2 are the upper and lower thresholds which are defined asright leftthickmathspace.5emτ1β*maxPGkτ2Gk<1where βfalse→ weight function and it takes a value <1thickmathspace and not zero.…”
Section: Methodsmentioning
confidence: 99%
“…Let us enhance the quality of an image through a certain transformation function thickmathspaceT)(. Now consider the WHE [42] technique which is applied over the greyscale image and it is given as in (2)–(4) Pw)(Gk=T}{P)(Gk Pw)(Gk={1em4ptPw^)(Gk1emP)(Gk>τ10thickmathspacethickmathspacethickmathspacethickmathspacethickmathspacethickmathspacethickmathspacethickmathspacethickmathspacethickmathspace1emP)(Gk<τ2τ1 and τ2 are the upper and lower thresholds which are defined asright leftthickmathspace.5emτ1β*maxPGkτ2Gk<1where βfalse→ weight function and it takes a value <1thickmathspace and not zero.…”
Section: Methodsmentioning
confidence: 99%
“…HE has a linear cumulative histogram that can distribute pixel values uniformly [11]. In another word, HE achieves a uniform distributed histogram by using the Cumulative density functions of the input image [12]. In contrast, "washed out" effect sometimes can be occurring to sink the quality of images.…”
mentioning
confidence: 99%