Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/2349
Title: DWT based-approach for color image compression using genetic algorithm
Authors: A.Boucetta
K. E Melkemi
Keywords: Color image compression, Color space, Discrete wavelet transform, Arithmetic encoder, Two-role encoder, Genetic algorithm
Issue Date: 18-Apr-2013
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
URI: http://archives.univ-biskra.dz/handle/123456789/2349
Appears in Collections:Publications Internationales

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