Wavelet Domain Denoising by Using the Universal Hidden Markov Tree Model

被引：0

作者：

Li, Feng ^{[1
]}

Fraser, Donald ^{[1
]}

Jia, Xiuping ^{[1
]}

Lambert, Andrew ^{[1
]}

机构：

[1] Univ New S Wales, Sch Informat Technol & Elect Engn, ADFA, Canberra, ACT, Australia

来源：

APPLICATIONS OF DIGITAL IMAGE PROCESSING XXXI | 2008年 / 7073卷

关键词：

D O I：

10.1117/12.794064

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a new image denoising method which is based on the uHMT(universal Hidden Markov Tree) model in the wavelet domain is proposed. The MAP (Maximum a Posteriori) estimate is adopted to deal with the ill-conditioned problem (such as image denoising) in the wavelet domain. The uHMT model in the wavelet domain is applied to construct a prior model for the MAP estimate. By using the optimization method Conjugate Gradient, the closest approximation to the true result is achieved. The results show that images restored by our method are much better and sharper than other methods not only visually but also quantitatively.

引用

页数：7

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