Multiscale Markov Image Restoration Model Fusing Context Information

被引：0

作者：

He Xing-shi ^{[1
]}

Geng Lian-ying ^{[1
]}

Wang Cai-xia ^{[1
]}

机构：

[1] Xian Polytech Univ, Sch Sci, Xian 710048, Shanxi, Peoples R China

来源：

EPLWW3S 2011: 2011 INTERNATIONAL CONFERENCE ON ECOLOGICAL PROTECTION OF LAKES-WETLANDS-WATERSHED AND APPLICATION OF 3S TECHNOLOGY, VOL 3 | 2011年

关键词：

Multiscale Markov model; context model; EM algorithm; image restoration;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Image restoration using hidden Markov tree(HNIT) lead to blocking effect easily. for this, this paper proposed a new multiscale Markov image restoration method fusing context information. This method based on the classification of image subblock smooth region and edge region, the context vector in this method is proposed with adaptive forms, and it is applied to multiscale Markov image restoration. Thus, get a new model of image restoration.

引用

页码：343 / 345

页数：3