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 T 1T 2T 3 representation, in which T 1 energy is more maximized than that of T 2 and T 3. 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. © 2012 Springer-Verlag.
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CITATION STYLE
Boucetta, A., & Melkemi, K. E. (2012). DWT based-approach for color image compression using genetic algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7340 LNCS, pp. 476–484). https://doi.org/10.1007/978-3-642-31254-0_54
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