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Reseach Article

A Generalized Contrast Enhancement Method for Greyscale and Colored Images

Published on February 2016 by Archana Chaudhari
CAE Proceedings on International Conference on Communication Technology
Foundation of Computer Science USA
ICCT2015 - Number 2
February 2016
Authors: Archana Chaudhari
a5ecba19-3684-48f1-918d-caa7be02b85a

Archana Chaudhari . A Generalized Contrast Enhancement Method for Greyscale and Colored Images. CAE Proceedings on International Conference on Communication Technology. ICCT2015, 2 (February 2016), 7-13.

@article{
author = { Archana Chaudhari },
title = { A Generalized Contrast Enhancement Method for Greyscale and Colored Images },
journal = { CAE Proceedings on International Conference on Communication Technology },
issue_date = { February 2016 },
volume = { ICCT2015 },
number = { 2 },
month = { February },
year = { 2016 },
issn = 0975-8887,
pages = { 7-13 },
numpages = 7,
url = { /proceedings/icct2015/number2/525-0172/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 CAE Proceedings on International Conference on Communication Technology
%A Archana Chaudhari
%T A Generalized Contrast Enhancement Method for Greyscale and Colored Images
%J CAE Proceedings on International Conference on Communication Technology
%@ 0975-8887
%V ICCT2015
%N 2
%P 7-13
%D 2016
%I International Journal of Computer Applications
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 variants 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 variant of GLG, i. e. Adaptive Gray Level grouping (AGLG) is also discussed. [4]

References
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Index Terms

Computer Science
Information Sciences

Keywords

Gray level grouping (GLG) AHE MAHE CLAHE DHE POSHE low contrast images bins.