Nasser Taleb

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A multi-objective genetic algorithm for the design of biorthogonal filter banks for embedded image coding application is presented. To be effective, the filter bank would satisfy multiple requirements related to such application. Flexibility in the design is introduced by imposing Near Perfect Reconstruction (N-PR) condition instead of entire PR condition(More)
Sections de rattachement : 61 Secteur : Secondaire RÉSUMÉ. In this paper, we present a global optimisation method based on a multi-objective Genetic Algorithm (GA) for the design of filter banks in a lossy image coding scheme. To be effective, the filter banks should satisfy a number of desirable criteria related to such scheme. We formulate the(More)
In this paper, we propose an optimisation method based on a multi-objective Genetic Algorithm (GA) for the design of orthogonal filter banks in an image coding scheme. A parameterization is used to achieve perfect reconstruction orthonormal FIR filter banks with a first order regularity. We search the optimal parameter set according to the coding gain,(More)
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