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Optimal decomposition for wavelet image compression

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3 Author(s)
S. Grgic ; Fac. of Electr. Eng. & Comput., Zagreb Univ., Croatia ; M. Grgic ; B. Zovko-Cihlar

The paper discusses important features of wavelet transform in compression of still images including the extent to which the quality of image is degraded by process of wavelet compression and decompression. A set of wavelet functions (wavelets) for implementation in a still image compression system is examined. The effects of different wavelet functions, image contents and compression ratios are assessed. The benefit of this transform relating to today's methods is stressed. Our results provide a good reference for application developers to choose a good wavelet compression system for their application

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Image and Signal Processing and Analysis, 2000. IWISPA 2000. Proceedings of the First International Workshop on

Date of Conference: