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Proceedings Paper

Lifting for nonlinear wavelet processing
Author(s): Roger L. Claypoole; Richard G. Baraniuk; Robert D. Nowak
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Paper Abstract

This paper develops new algorithms for adapted multiscale analysis and signal adaptive wavelet transforms. We construct our adaptive transforms with the lifting scheme, which decomposes the wavelet transform into prediction and update stages. We adapt the prediction stage to the signal structure and design the update stage to preserve the desirable properties of the wavelet transform. The resulting scale and spatially adaptive transforms are extended to the image estimation problem; our new image transforms show improved denoising performance over existing (non-adaptive) orthogonal transforms.

Paper Details

Date Published: 26 October 1999
PDF: 12 pages
Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); doi: 10.1117/12.366794
Show Author Affiliations
Roger L. Claypoole, Rice Univ. (United States)
Richard G. Baraniuk, Rice Univ. (United States)
Robert D. Nowak, Michigan State Univ. (United States)


Published in SPIE Proceedings Vol. 3813:
Wavelet Applications in Signal and Image Processing VII
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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