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Publication Date:
May 2008
ISSN:
1569-3961
DOI:
10.1515/mcma.2004.10.3-4.587

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Measures of Uniform Distribution in Wavelet Based Image Compression

Thomas Schell / Andreas Uhl / Peter Zinterhof

1Universität Salzburg, Dept. of Scientific Computing, Jakob-Haringerstr. 2, A-5020 Salzburg, Austria

Citation Information: Monte Carlo Methods and Applications mcma. Volume 10, Issue 3-4, Pages 587–597, ISSN (Online) 1569-3961, ISSN (Print) 0929-9629, DOI: 10.1515/mcma.2004.10.3-4.587, May 2008

Publication History:
Published Online:
2008-05-09

In still image compression, the wavelet transformation is a state-of-the-art tool. Recently, wavelet packet decomposition has received quite an interest. One popular approach for wavelet packet decomposition is the near best basis algorithm of Taswell. We extend his set of non-additive cost-functions by measures of uniform distribution, i.e. discrepancy and probability distribution distance. In contrast to usual application of the latter measures, we are interested in point-sets which are maximally not uniformly distributed to enhance entropy-encoding.

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