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Proceedings Paper

Simultaneous speckle reduction and data compression using best wavelet packet bases with application to synthetic aperture radar (SAR) based ATD/R
Author(s): Dong Wei; Haitao Guo; Jan Erik Odegard; Markus Lang; C. Sidney Burrus
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Paper Abstract

We propose a novel method for simultaneous speckle reduction and data compression based on shrinking, quantizing and coding the wavelet packet coefficients of the logarithmically transformed image. A fast algorithm is used to find the best wavelet packet basis in the rate- distortion sense from the entire library of admissible wavelet packet bases. Soft-thresholding in wavelet domain can significantly suppress the speckles of the synthetic aperture radar (SAR) images while maintaining bright reflections for subsequent detection and recognition. Optimal bit allocation, quantization and entropy coding achieve the goal of compression while maintaining the fidelity of the SAR image.

Paper Details

Date Published: 6 April 1995
PDF: 11 pages
Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); doi: 10.1117/12.205372
Show Author Affiliations
Dong Wei, Rice Univ. (United States)
Haitao Guo, Rice Univ. (United States)
Jan Erik Odegard, Rice Univ. (United States)
Markus Lang, Rice Univ. (United States)
C. Sidney Burrus, Rice Univ. (United States)


Published in SPIE Proceedings Vol. 2491:
Wavelet Applications II
Harold H. Szu, Editor(s)

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