BCGM Based MAP Denoising in Wavelet Domain

摘要：

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.

作者: Xutao Li Jiajia Ren Yunkai Feng

作者单位: Department of Electronic Engineering Shantou University Shantou,Guangdong,P.R.China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin,Heilongj

会议类型: 国际会议

会议名称: The 3rd International Symposium on Systems and Control in Aeronautics and Astronautics(第三届航空航天系统与控制国际会议 ISSCAA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 658-662

在线出版日期: 2010-01-08（万方平台首次上网日期，不代表论文的发表时间）