Title :
The despeckling of SAR image based on the curvelet transform
Author :
Hou, Biao ; Liu, Honghua ; Jiao, Licheng
Author_Institution :
Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xi´´an, China
Abstract :
A novel method of speckle suppression for SAR image based on the curvelet transform is presented. A Bayesian shrinkage factor is derived to shrink the curvelet coefficients, then the mean filter and the nonlinear anisotropic diffusion are used to deal with the reconstructed image. Experimental results show that the proposed method can effectively suppress the speckle while keep the edge and other details.
Keywords :
curvelet transforms; image reconstruction; radar imaging; synthetic aperture radar; Bayesian shrinkage factor; SAR image despeckling; curvelet coefficients; curvelet transform; mean filter; nonlinear anisotropic diffusion; reconstructed image; speckle suppression; Additive noise; Anisotropic magnetoresistance; Bayesian methods; Filters; Gaussian distribution; Gaussian noise; Histograms; Image reconstruction; Laboratories; Speckle; SAR image; curvelet transform; diffusion; speckle suppression;
Conference_Titel :
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location :
Xian, Shanxi
Print_ISBN :
978-1-4244-2731-4
Electronic_ISBN :
978-1-4244-2732-1
DOI :
10.1109/APSAR.2009.5374204
