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Performance Evaluation of HE, AHE and Fuzzy Image Enhancement

by Sargun, Shashi B. Rana
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 23
Year of Publication: 2015
Authors: Sargun, Shashi B. Rana
10.5120/21864-5190

Sargun, Shashi B. Rana . Performance Evaluation of HE, AHE and Fuzzy Image Enhancement. International Journal of Computer Applications. 122, 23 ( July 2015), 14-19. DOI=10.5120/21864-5190

@article{ 10.5120/21864-5190,
author = { Sargun, Shashi B. Rana },
title = { Performance Evaluation of HE, AHE and Fuzzy Image Enhancement },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 23 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 14-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number23/21864-5190/ },
doi = { 10.5120/21864-5190 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:11:19.011888+05:30
%A Sargun
%A Shashi B. Rana
%T Performance Evaluation of HE, AHE and Fuzzy Image Enhancement
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 23
%P 14-19
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image enhancement plays an important role in vision applications. Enhancement is the technique of improving the superiority of a digital stored image. Recently much work is performed in the field of images enhancement. Many techniques have already been proposed up to now for enhancing the digital images. In this paper, we have compared three basic techniques of the image enhancement which are histogram equalization, adaptive histogram equalization and fuzzy enhancement. From the comparison, it has been proved that the fuzzy enhancement performs much better as compared to histogram and adaptive histogram equalization.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image Enhancement Histogram Equalization Adaptive Histogram Equalization Fuzzy Enhancement.

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