Research Article
Low Contrast Gray Image Enhancement using Particle Swarm Optimization (PSO) with DWT
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 130 - Issue 8 |
| Published: November 2015 |
| Authors: Aarti Pareyani, Agya Mishra |
10.5120/ijca2015907027
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Aarti Pareyani, Agya Mishra . Low Contrast Gray Image Enhancement using Particle Swarm Optimization (PSO) with DWT. International Journal of Computer Applications. 130, 8 (November 2015), 8-13. DOI=10.5120/ijca2015907027
@article{ 10.5120/ijca2015907027,
author = { Aarti Pareyani,Agya Mishra },
title = { Low Contrast Gray Image Enhancement using Particle Swarm Optimization (PSO) with DWT },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 130 },
number = { 8 },
pages = { 8-13 },
doi = { 10.5120/ijca2015907027 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Aarti Pareyani
%A Agya Mishra
%T Low Contrast Gray Image Enhancement using Particle Swarm Optimization (PSO) with DWT%T
%J International Journal of Computer Applications
%V 130
%N 8
%P 8-13
%R 10.5120/ijca2015907027
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Low contrast image enhancement is the task of applying certain transformations to an input image such as to obtain a visually more recovered, more detailed, or less noisy output image. In this paper image enhancement is considered as an optimization problem and the algorithm Particle Swarm Optimization (PSO) along with DWT is used to solve it.The objective of the proposed algorithm is to maximize an objective fitness criterion in order to enhance the contrast and detail in an image by adapting the parameters of a novel extension to a local enhancement technique. The Entropy Gain and objective criterion has been used as a comparison parameter for proposed image enhancement method.
References
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