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Proceedings Paper

Sparsity constraint SAR speckle reduction based on redundant multiscale ridgelet dictionary
Author(s): Chengzhi Deng; Shengqian Wang
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Paper Abstract

In this paper, we proposed a SAR speckle reduction method based on sparse and redundant representations over multiscale ridgelet dictionary. Firstly, the multiscale ridgelet function is proposed. And then based on it, the multiscale ridgelet dictionary is constructed, which can sparsely represent the SAR images. Finally, we propose a global image prior that forces sparsity over small patches in every location in the image. We define a maximum a-posteriori probability (MAP) estimator as the minimizer of a well-defined global penalty term. The speckle reduction leads to a simple iterated patch-by-patch sparse coding and averaging algorithm. The experimental results demonstrate that the proposed method performs better than several other existing methods in terms of quantitative performance as well as in term of visual quality of the images.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749415 (30 October 2009); doi: 10.1117/12.832421
Show Author Affiliations
Chengzhi Deng, Nanchang Institute of Technology (China)
Shengqian Wang, Nanchang Institute of Technology (China)


Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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