DWT based-approach for color image compression using genetic algorithm

Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/2349

Full metadata record

DC Field	Value	Language
dc.contributor.author	A.Boucetta	-
dc.contributor.author	K. E Melkemi	-
dc.date.accessioned	2013-04-18T11:47:40Z	-
dc.date.available	2013-04-18T11:47:40Z	-
dc.date.issued	2013-04-18	-
dc.identifier.uri	http://archives.univ-biskra.dz/handle/123456789/2349	-
dc.description.abstract	Abstract This paper describes a color image compression technique based on Discrete Wavelet Transform (DWT) and Genetic Algorithm (GA). High degree of correlation between the RGB planes of a color image is reduced by transforming them to more suitable space by using the GA. This GA would enable us to find T1T2T3 representation, in which T1 energy is more maximized than that of T2 and T3. The result of the proposed method is compared with previous similar published methods and the former is found superior in terms of quality of the reconstructed image. Further, proposed method is efficient in compression ability and fast in implementation. DOI: 10.1007/978-3-642-31254-0_54 Link http://link.springer.com/chapter/10.1007%2F978-3-642-31254-0_54	en_US
dc.language.iso	en	en_US
dc.subject	Color image compression, Color space, Discrete wavelet transform, Arithmetic encoder, Two-role encoder, Genetic algorithm	en_US
dc.title	DWT based-approach for color image compression using genetic algorithm	en_US
dc.type	Article	en_US
Appears in Collections:	Publications Internationales

Files in This Item:

File	Description	Size	Format
DWT based-approach for color image compression using genetic algorithm.pdf		36,95 kB	Adobe PDF	View/Open