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Abstract: Methods for digital image compression have been the subject of much study over the past decade. Advances in wavelet transforms and quantization methods have produced algorithms capable of surpassing the existing image compression standards like the Joint Photographic Experts Group (JPEG) algorithm. For best performance in image compression, wavelet transforms require filters that combine a number of desirable properties, such as orthogonality and symmetry. However, the design possibilities for... (Update)
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BibTeX entry: (Update)
Michael B. Martin, \Applications of multiwavelets to image compression," M.S. thesis, Virginia Tech, 1999, http://scholar.lib.vt.edu/theses/available/etd-061599-160019/. http://citeseer.ist.psu.edu/martin99applications.html More
@misc{ martin99applications,
author = "M. Martin",
title = "Applications of multiwavelets to image compression",
text = "Michael B. Martin, \Applications of multiwavelets to image compression,
M.S. thesis, Virginia Tech, 1999, http://scholar.lib.vt.edu/theses/available/etd-061599-160019/.",
year = "1999",
url = "citeseer.ist.psu.edu/martin99applications.html" }
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