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Proceedings Paper

Multilayered image compression
Author(s): Francois G. Meyer; Amir Z. Averbuch; Jan-Olov Stroemberg; Ronald Raphael Coifman
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Paper Abstract

The main contribution of this work is a new paradigm for image compression. We describe a new multi-layered representation technique for images. An image is encoded as the superposition of one main approximation, and a sequence of residuals. The strength of the multi-layered method comes from the fact that we use different bases to encode the main approximation and the residuals. For instance, we can use: a wavelet basis to encode a coarse main approximation of the image, wavelet packet bases to encode textured patterns, brushlet bases to encode localized oriented textured features, etc.

Paper Details

Date Published: 19 October 1998
PDF: 12 pages
Proc. SPIE 3458, Wavelet Applications in Signal and Imaging Processing VI, (19 October 1998); doi: 10.1117/12.328130
Show Author Affiliations
Francois G. Meyer, Yale Univ. (United States)
Amir Z. Averbuch, Tel Aviv Univ. (Israel)
Jan-Olov Stroemberg, Univ. Tromso (Sweden)
Ronald Raphael Coifman, Yale Univ. (United States)

Published in SPIE Proceedings Vol. 3458:
Wavelet Applications in Signal and Imaging Processing VI
Andrew F. Laine; Michael A. Unser; Akram Aldroubi, Editor(s)

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