Lin, Y.P. and Vaidyanathan, P.P. (1995) Linear Phase Cosine Modulated Maximally Decimated Filter Banks with Perfect Reconstruction. IEEE Transactions on Image Processing, 43, 2525-2539. - References

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Lin, Y.P. and Vaidyanathan, P.P. (1995) Linear Phase Cosine Modulated Maximally Decimated Filter Banks with Perfect Reconstruction. IEEE Transactions on Image Processing, 43, 2525-2539.
http://dx.doi.org/10.1109/78.482104

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.