JOURNAL ARTICLE

SAR image despeckling based on sparse representation

Yang ZhaoShuang WangLicheng JiaoKun Li

Year: 2007 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 6787 Pages: 67872I-67872I   Publisher: SPIE

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.

Keywords:
Artificial intelligence Smoothing Computer science Sparse approximation Pattern recognition (psychology) Computer vision Feature (linguistics) Noise reduction Image (mathematics) Enhanced Data Rates for GSM Evolution Speckle noise Speckle pattern Image texture Representation (politics) Image denoising Image processing

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0
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0.12
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Citation History

Topics

Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Video Stabilization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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