Adaptive shrinkage despeckling for SAR image based on nonsubsampled contourlet transform

Shuang Wang; Hong Zhao; Licheng Jiao; Biao Hou

doi:10.1117/12.832876

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30 October 2009 Adaptive shrinkage despeckling for SAR image based on nonsubsampled contourlet transform

Shuang Wang, Hong Zhao, Licheng Jiao, Biao Hou

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Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 749414 (2009) https://doi.org/10.1117/12.832876
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

An improved Nonsubsampled Contourlet Transform (NSCT)-based method has been proposed in this paper, using subbands mask prior models and directional information for synthetic aperture radar (SAR) image despeckling. The NSCT is a shift-invariant directional wavelet transform which satisfies the demands of SAR image despeckling. Wedding coefficient statistic character of NSCT subbands and directional information captured by the transform, this paper applies anisotropic neighborhood models to the processing of adaptive shrinkage. The resulting algorithm strongly suppresses speckle, while preserving detailed information and image edges compared with other traditional despeckling methods.

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Shuang Wang, Hong Zhao, Licheng Jiao, and Biao Hou "Adaptive shrinkage despeckling for SAR image based on nonsubsampled contourlet transform", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749414 (30 October 2009); https://doi.org/10.1117/12.832876

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