Title :
Speckle noise removal by robust modeling
Author_Institution :
Dept. of Electr. & Comput. Eng., George Washington Univ., DC, USA
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;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1247207