ADAPTIVE ALGORITHM FOR RESTORATION OF LOSSY COMPRESSED IMAGES

  • ABIDA TOUMI Department of electrical engineering University Mohamed Khider Biskra, Algeria
  • NADJIBA TERKI Department of electrical engineering University Mohamed Khider Biskra, Algeria
  • ABDELMALIK TALEB AHMED LAMIH UMR CNRS UVHC 8530 Le Mont Houy 59313 Valenciennes Cedex 9, France

Résumé

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.

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Publiée
2016-11-29
Comment citer
TOUMI, ABIDA; TERKI, NADJIBA; TALEB AHMED, ABDELMALIK. ADAPTIVE ALGORITHM FOR RESTORATION OF LOSSY COMPRESSED IMAGES. Courrier du Savoir, [S.l.], v. 21, nov. 2016. ISSN 1112-3338. Disponible à l'adresse : >http://revues.univ-biskra.dz/index.php/cds/article/view/1835>. Date de consultation : 02 jui. 2020