Please use this identifier to cite or link to this item: https://doi.org/10.1109/78.771037
Title: Optimal multifilter banks: design, related symmetric extension transform, and application to image compression
Authors: Xia, T. 
Jiang, Q. 
Issue Date: 1999
Citation: Xia, T., Jiang, Q. (1999). Optimal multifilter banks: design, related symmetric extension transform, and application to image compression. IEEE Transactions on Signal Processing 47 (7) : 1878-1889. ScholarBank@NUS Repository. https://doi.org/10.1109/78.771037
Abstract: The design of optimal multifilter banks and optimum time-frequency resolution multiwavelets with different objective functions is discussed. The symmetric extension transform related to multifilter banks with the symmetric properties is presented. It is shown that such a symmetric extension transform is nonexpansive. More optimal multifilter banks for image compression are constructed, and some of them are used in image compression. Experiments show that optimal multifilter banks have better performances in image compression than Daubechies' orthogonal wavelet filters and Daubechies' least asymmetric wavelet filters, and for some images, they even have better performances than the scalar (9, 7)-tap biorthogonal wavelet filters. Experiments also show that the symmetric extension transform provided in this paper improves the rate-distortion performance compared with the periodic extension transform.
Source Title: IEEE Transactions on Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/103872
ISSN: 1053587X
DOI: 10.1109/78.771037
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