Title :
BCGM based MAP denoising in wavelet domain
Author :
Li, Xutao ; Ren, Jiajia ; Feng, Yunkai
Author_Institution :
Dept. of Electron. Eng., Shantou Univ. Shantou, Shantou, China
Abstract :
This paper is concerned with image denoising approaches. The detail exponents of image transformed by Wavelet have been proved its significant heavy-tails nature. The alpha stable distribution has a generality to represent heavy-tailed and impulsive nature. However, the probability density function of such a statistics model has no closed expression. Based on a tractable approximation, BCGM model, maximum a posteriori (MAP) shrinkage is proposed for removing additive. Since the prior distributions are analytically known after BCGM is introduced, MAP approach becomes now more tractable than fore methods.
Keywords :
image denoising; maximum likelihood estimation; statistical distributions; wavelet transforms; BCGM based MAP denoising; alpha stable distribution; image denoising approach; maximum a posteriori; probability density function; statistics model; tractable approximation; wavelet domain;
Conference_Titel :
Systems and Control in Aeronautics and Astronautics (ISSCAA), 2010 3rd International Symposium on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-6043-4
Electronic_ISBN :
978-1-4244-7505-6
DOI :
10.1109/ISSCAA.2010.5633583
