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Proceedings Paper

Adaptive shrinkage despeckling for SAR image based on nonsubsampled contourlet transform
Author(s): Shuang Wang; Hong Zhao; Licheng Jiao; Biao Hou
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749414 (30 October 2009); doi: 10.1117/12.832876
Show Author Affiliations
Shuang Wang, Xidian Univ. (China)
Hong Zhao, Xidian Univ. (China)
Licheng Jiao, Xidian Univ. (China)
Biao Hou, Xidian Univ. (China)

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

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