Frame-based image denoising using hidden Markov model

被引：5
|
作者：
Yang, Xiaoyuan [1 ]
Zhang, Xudong
Zhu, Zhipin
机构：
[1] Beihang Univ, Key Lab Math Informat & Behav Semant, Minist Educ, Beijing 100083, Peoples R China
[2] Peking Univ, Dept Math, Sch Sci, Beijing 100083, Peoples R China
来源：
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING | 2008年 / 6卷 / 03期
基金：
中国国家自然科学基金;
关键词：
image denoising; wavelet frame; HMM;
D O I：
10.1142/S0219691308002446
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Wavelet-domain hidden Markov models (HMMs), and in particular, hidden Markov tree (HMT), have been recently proposed and applied to image denoising. In this paper, we present the hidden Markov model and corresponding algorithm based on frame-domain. This model can effectively capture the correlation of wavelet frame coefficients, and we apply this model for image denoising. Furthermore, two new algorithms are developed for denoising. We demonstrate the performance of our new method on some text images with very encouraging results.
引用
收藏
页码：419 / 432
页数：14
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