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SAR image compression algorithm based on total variation decomposition

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2 Author(s)
Chen-Wei Deng ; Radar Research Laboratory (RRL), Department of Electronic Engineering, School of Information and Electronics, Beijing Institute of Technology, 100081, China ; Bao-Jun Zhao

This paper proposes a new compression framework for SAR images. A maximum a posteriori (MAP) estimator is first utilized for despeckling, and by using total variation (TV), the denoised SAR image is decomposed into structure and texture. Such two components undergo discrete wavelet transform and wavelet packet transform, respectively. And then, according to their unique characteristics, two different wavelet coding algorithms are presented to encode the respective component. Experimental results shown that the reconstructed image has good visual quality and the peak signal-to-noise ratio (PSNR) is excellent.

Published in:

Radar Conference, 2009 IET International

Date of Conference:

20-22 April 2009