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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 158 - Issue 10 |
| Published: Jan 2017 |
| Authors: Sandeep Kaur, Parveen Kumar |
10.5120/ijca2017912819
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Sandeep Kaur, Parveen Kumar . Study on Various Techniques of Image Enhancement. International Journal of Computer Applications. 158, 10 (Jan 2017), 11-13. DOI=10.5120/ijca2017912819
@article{ 10.5120/ijca2017912819,
author = { Sandeep Kaur,Parveen Kumar },
title = { Study on Various Techniques of Image Enhancement },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 158 },
number = { 10 },
pages = { 11-13 },
doi = { 10.5120/ijca2017912819 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Sandeep Kaur
%A Parveen Kumar
%T Study on Various Techniques of Image Enhancement%T
%J International Journal of Computer Applications
%V 158
%N 10
%P 11-13
%R 10.5120/ijca2017912819
%I Foundation of Computer Science (FCS), NY, USA
This paper has discuss the various techniques for image enhancement i.e histogram equalization, Brightness preserving bi-histogram equalization(BBHE), Dualistic Sub-Image Histogram Equalization (DSIHE), Minimum Mean Brightness Error Bi-HE Method (MMBEBHE), Recursive Mean –Separate HE Method (RMSHE),Mean brightness preserving histogram equalization(MBPHE).As well as it represents the comparison between the various techniques that shows the image enhances the overall contrast and visibility of local details. The review has shown that contrast enhancement approach based on dominant brightness level analysis and adaptive intensity transformation for remote sensing images.