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Proceedings Paper

Orthogonal and biorthogonal multiwavelets for signal denoising and image compression
Author(s): Vasily Strela; Andrew T. Walden
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Paper Abstract

This paper presents new vector filter banks, in particular biorthogonal Hermite cubic multiwavelets with short, smooth duals. We study different preprocessing techniques and the covariance structure of corresponding transforms. Results of numerical experiments in signal denoising and image compression using multi-filters are discussed.We compare the performance of several multi-filters with the performance of standard scalar wavelets such as Daubechies orthogonal external phase and least asymmetric ones and biorthogonal 9- 7 pair. Often multiwavelet scheme turn out to be better. We analyze these results.

Paper Details

Date Published: 26 March 1998
PDF: 12 pages
Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); doi: 10.1117/12.304924
Show Author Affiliations
Vasily Strela, Dartmouth College (United States)
Andrew T. Walden, Imperial College of Science, Technology and Medicine (United Kingdom)

Published in SPIE Proceedings Vol. 3391:
Wavelet Applications V
Harold H. Szu, Editor(s)

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