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Reseach Article

Enriched Fuzzy and L*A*B based Mix Contrast Limited Adaptive Histogram Equilization

by Kanika Sharma, Navneet Bawa, Ajay Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 2
Year of Publication: 2015
Authors: Kanika Sharma, Navneet Bawa, Ajay Sharma
10.5120/20122-2190

Kanika Sharma, Navneet Bawa, Ajay Sharma . Enriched Fuzzy and L*A*B based Mix Contrast Limited Adaptive Histogram Equilization. International Journal of Computer Applications. 115, 2 ( April 2015), 17-22. DOI=10.5120/20122-2190

@article{ 10.5120/20122-2190,
author = { Kanika Sharma, Navneet Bawa, Ajay Sharma },
title = { Enriched Fuzzy and L*A*B based Mix Contrast Limited Adaptive Histogram Equilization },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 2 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number2/20122-2190/ },
doi = { 10.5120/20122-2190 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:53:33.485514+05:30
%A Kanika Sharma
%A Navneet Bawa
%A Ajay Sharma
%T Enriched Fuzzy and L*A*B based Mix Contrast Limited Adaptive Histogram Equilization
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 2
%P 17-22
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a novel algorithm has been designed to get rid of the problem of over-enhancement found in Mix CLAHE specifically for underwater images. The underwater image is suffering from low contrast and resolution because of dispossessed visibility circumstances, hence a subject identification become typical task. The processing of underwater image captured is important because the grade of underwater images distress and these images leads some serious problems in comparison with images from the clearer environment. This paper has proposed an hybrid approach which includes integrated the MIX-CLAHE with the L*A*B based fuzzy enhancement. The experimental results indicates that the proposed technique outperforms on the available methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Mix CLAHE L*A*B Fuzzy logic Underwater images.