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Proceedings Paper

Speckle reduction via wavelet shrinkage with application to synthetic-aperture-radar-based automatic target detection/reduction (ATD/R)
Author(s): Haitao Guo; Jan Erik Odegard; Markus Lang; Ramesh A. Gopinath; Ivan W. Selesnick; C. Sidney Burrus
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Paper Abstract

We propose a novel speckle reduction method based on shrinking the wavelet coefficients of the logarithmically transformed image. The method is computational efficient and can significantly reduce the speckle while preserving the resolution of the original image. Wavelet processed imagery is shown to provide better detection performance for synthetic-aperture radar based automatic target detection/recognition problem.

Paper Details

Date Published: 11 October 1994
PDF: 12 pages
Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); doi: 10.1117/12.188782
Show Author Affiliations
Haitao Guo, Rice Univ. (United States)
Jan Erik Odegard, Rice Univ. (United States)
Markus Lang, Rice Univ. (United States)
Ramesh A. Gopinath, Rice Univ. (United States)
Ivan W. Selesnick, Rice Univ. (United States)
C. Sidney Burrus, Rice Univ. (United States)

Published in SPIE Proceedings Vol. 2303:
Wavelet Applications in Signal and Image Processing II
Andrew F. Laine; Michael A. Unser, Editor(s)

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