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Proceedings Paper

SAR image despeckling based on sparse representation
Author(s): Yang Zhao; Shuang Wang; Licheng Jiao; Kun Li
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Paper Abstract

Based on sparse representation, a new novel SAR image despeckling algorithm (SR) associate with the feature of SAR image is presented. The experimental results show that the proposed algorithm has capabilities of denoising and preserving edge and texture features. Moreover, it outperforms the four traditional denoising methods in speckle smoothing, edge and texture preservation and visual assessment.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67872I (15 November 2007); doi: 10.1117/12.749526
Show Author Affiliations
Yang Zhao, Xidian Univ. (China)
Shuang Wang, Xidian Univ. (China)
Licheng Jiao, Xidian Univ. (China)
Kun Li, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing
Henri Maître; Hong Sun; Jianguo Liu; Enmin Song, Editor(s)

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