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Boukhobza, A., Ahmed, T., Bounoua, A. and Taleb, N. (2009) A Filter Banks Design Using a Multi-Objective Genetic Algorithm for Embedded Image Coding Scheme. Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis, Salzburg, 16-18 September 2009, 776-781.

has been cited by the following article:

• TITLE: A Multiobjective Optimization Method for Designing M-Channel NPR Cosine Modulated Filter Bank for Image Compression

  AUTHORS: Anamika Jain, Aditya Goel

  KEYWORDS: Cosine Modulated Filter Bank, Near Perfect Reconstruction (NPR), Non-Dominated Sorting Genetic Algorithm (NSGA), Peak Signal to Noise Ratio (PSNR), Pseudo Quadrature Mirror Filter (PQMF) Bank

  JOURNAL NAME: Engineering, Vol.7 No.2, February 27, 2015

  ABSTRACT: This paper proposes a method to design multichannel cosine modulated filter bank for image compression using multiobjective optimization technique. The design problem is a combination of stopband residual energy, least square error of the overall transfer function of the filter bank, coding gain with dc leakage free condition as constraint. The proposed algorithm uses Non-dominated Sorting Genetic Algorithm (NSGA) to minimize the mutually contradictory objective function by minimizing filter tap weights of prototype filter. The algorithm solves this problem by searching solutions that achieve the best compromise between the different objectives criteria. The performance of this algorithm is evaluated in terms of coding gain and peak signal to noise ratio (PSNR). Simulation results on different images are included to illustrate the effectiveness of the proposed algorithm for image compression application.