Author/Authors
TOUMI, ABIDA University Mohamed Khider Biskra - Department of electrical engineering, Algeria , TERKI, NADJIBA University Mohamed Khider Biskra - Department of electrical engineering, Algeria , TALEB AHMED, Abdelmalik Université de Valenciennes et du Hainaut Cambrésis - LAMIH UMR CNRS-UVHC 8530, France
Title Of Article
ADAPTIVE ALGORITHM FOR RESTORATION OF LOSSY COMPRESSED IMAGES
شماره ركورد
21715
Abstract
This work deals with the restoration of lossy compressed image by the use of a metaheuristic which is the Particle Swarm Optimization Algorithm. This algorithm was designed and adopted by the introduction of the Search Efficiency Function for the blind restoration of blurred images and has given excellent results. So, in the present paper we try to apply it in the enhancement of lossy decompressed images, and this application constitutes the contribution of this work. Images used have been compressed by two different compression methods, fractal and JPEG, and with different compression rates. The experimental results obtained were excellent.
From Page
93
NaturalLanguageKeyword
lossy compression , image restoration , particle swarm optimization , Search Efficiency Function
JournalTitle
Courrier Du Savoir
To Page
97
JournalTitle
Courrier Du Savoir
Link To Document