Wavelet-Domain Image Denoising Using Contextual Hidden Markov Tree Model

摘要：

A fuzzy logic based Wavelet-domain contextual hidden Markov Tree(HMT) model is proposed for image denoising. This method uses fuzzy membership to establish a continuous Hidden Markov Random Field(HMRF) for estimation of the distribution of the hidden state in each iteration. Using these updated data, the parameters of HMT are maximized. This algorithm introduces intrascale dependence into HMT train which can efficiently improve the expectation results of the HMT model. Experimental results are presented in the end of this paper.

关键词： Hidden Markov Tree wavelet image denoising fuzzy logic Markov Random Field

作者: Yide Ma Yong Tian Jiuwen Zhang

作者单位: School of Information Science and Engineering Lanzhou University Lanzhou University, Lanzhou, 730000, China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）