Simultaneous speckle reduction and data compression using best wavelet packet bases with application to synthetic aperture radar (SAR) based ATD/R

Dong Wei; Haitao Guo; Jan Erik Odegard; Markus Lang; C. Sidney Burrus

doi:10.1117/12.205372

6 April 1995 Simultaneous speckle reduction and data compression using best wavelet packet bases with application to synthetic aperture radar (SAR) based ATD/R

Dong Wei, Haitao Guo, Jan Erik Odegard, Markus Lang, C. Sidney Burrus

Author Affiliations +

Proceedings Volume 2491, Wavelet Applications II; (1995) https://doi.org/10.1117/12.205372
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Dong Wei, Haitao Guo, Jan Erik Odegard, Markus Lang, and C. Sidney Burrus "Simultaneous speckle reduction and data compression using best wavelet packet bases with application to synthetic aperture radar (SAR) based ATD/R", Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); https://doi.org/10.1117/12.205372

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