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Review of Histogram Equalization Methods for Contrast Enhancement

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IJCA Proceedings on International Conference on Computer Technology
© 2015 by IJCA Journal
ICCT 2015 - Number 5
Year of Publication: 2015
Authors:
Archana Chaudhari

Archana Chaudhari. Article: Review of Histogram Equalization Methods for Contrast Enhancement. IJCA Proceedings on International Conference on Computer Technology ICCT 2015(5):20-24, September 2015. Full text available. BibTeX

@article{key:article,
	author = {Archana Chaudhari},
	title = {Article: Review of Histogram Equalization Methods for Contrast Enhancement},
	journal = {IJCA Proceedings on International Conference on Computer Technology},
	year = {2015},
	volume = {ICCT 2015},
	number = {5},
	pages = {20-24},
	month = {September},
	note = {Full text available}
}

Abstract

Image contrast enhancement techniques can be used in various image processing applications. There are various Image contrast enhancement techniques available. It depends on the particular type of image, which technique will prove better. Histogram equalization is one of the best technique that can be used for contrast enhancement. Different variations of Histogram equalization like Adaptive Histogram Equalization, Contrast Limited Adaptive Histogram equalization, Multiscale Adaptive Histogram Equalization, Dynamic Histogram Equalization, Partially overlapped sub-block Histogram Equalization, etc. can also be used. All these techniques mentioned proves good for a particular type of image, but they are not generalized methods which can be used for broad variety of images. A new method of contrast enhancement called as Gray level grouping (GLG) is suggested in this paper. GLG is a generalized method and can be used satisfactorily for broad variety of images. A variation of GLG, i. e. Adaptive Gray Level grouping (AGLG) is also discussed. [4]

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