DocumentCode :
2311991
Title :
Speckle noise removal by robust modeling
Author :
Eom, Kie B.
Author_Institution :
Dept. of Electr. & Comput. Eng., George Washington Univ., DC, USA
Volume :
3
fYear :
2003
fDate :
14-17 Sept. 2003
Abstract :
A robust modeling approach is applied to remove speckle noise in synthetic aperture images. Conventional adaptive filtering approaches in speckle filtering smoothes the image selectively depending on the details of underlying textures, and tend to blur details after speckle removal. In the proposed approach, the image is assumed to be composed of structural and stochastic components, and the stochastic component is modeled by a robust model. The proposed method is applied to real synthetic aperture images to demonstrate the validity and effectiveness of the algorithm.
Keywords :
image denoising; interference suppression; radar imaging; speckle; synthetic aperture radar; SAR image; robust modeling; speckle noise removal; stochastic components; structural components; synthetic aperture images; synthetic aperture radar; Adaptive filters; Cleaning; Filtering; Image resolution; Noise reduction; Noise robustness; Parameter estimation; Polynomials; Smoothing methods; Speckle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7750-8
Type :
conf
DOI :
10.1109/ICIP.2003.1247207
Filename :
1247207
Link To Document :
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