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Optical Engineering

Generalized wavelet decompositions in image compression: arbitrary subbands and parallel algorithms
Author(s): Andreas Uhl
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Paper Abstract

New methods for lossy image compression based on generalized wavelet decompositions have been introduced recently. Unlike in the classical wavelet decomposition scheme, it is possible to use different scaling and wavelet functions at every scale by using nonstationary multiresolution analyses. This freedom in using different functions can be exploited for adaptive compression techniques. We extend this approach to arbitrary subbands (e.g., in a wavelet packet scheme), combine it with the best basis algorithm, and introduce efficient techniques for using these algorithms on parallel computers.

Paper Details

Date Published: 1 May 1997
PDF: 8 pages
Opt. Eng. 36(5) doi: 10.1117/1.601338
Published in: Optical Engineering Volume 36, Issue 5
Show Author Affiliations
Andreas Uhl, Univ. Salzburg (Austria)

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