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Blind Restoration Method for Satellite Images using Memetic Algorithm

by Parul Gupta, Rajesh Mehra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 1
Year of Publication: 2015
Authors: Parul Gupta, Rajesh Mehra
10.5120/ijca2015906857

Parul Gupta, Rajesh Mehra . Blind Restoration Method for Satellite Images using Memetic Algorithm. International Journal of Computer Applications. 130, 1 ( November 2015), 20-25. DOI=10.5120/ijca2015906857

@article{ 10.5120/ijca2015906857,
author = { Parul Gupta, Rajesh Mehra },
title = { Blind Restoration Method for Satellite Images using Memetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 1 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 20-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number1/23174-2015906857/ },
doi = { 10.5120/ijca2015906857 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:23:52.009995+05:30
%A Parul Gupta
%A Rajesh Mehra
%T Blind Restoration Method for Satellite Images using Memetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 1
%P 20-25
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Restoration of degraded satellite images are in demand. The sources of degradation can be aliasing, blur, noise and atmospheric turbulence, which are usually an ill-posed in nature. This paper introduces Memetic algorithm for image restoration. Previous restoration techniques have been investigated, but except for certain special cases the maximum cases solve the resulting criterion approximately only. So there is a requirement of more demanding optimization methods. A Memetic algorithm herein proposed give efficient image representation by using hill climbing method for population initialization and using extended neighborhood search. The algorithm is performed on a quickbird test satellite image for the optimization of result. The optimization codes are written in Matlab. The proposed method shows 25% improvement from degraded image. Competitively our new approach performs better than some best existing methods. to demonstrate the effectiveness of the proposed method, comparisons are given from the existing methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Memetic Algorithm PSF Extended neighborhood Search PSNR

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