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
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