Image filtering using support vector machine

被引：0
|
作者：
Liu, Huaping [1 ]
Sun, Fuchun
Sun, Zengqi
机构：
[1] Tsing Hua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China
[2] State Key Lab Intelligent Technol & Syst, Beijing, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS | 2006年 / 3972卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a support vector machine (SVM) approach for automatic impulsive noise detection in corrupted image is proposed. Once the noises are detected, a filtering action based on regularization can be taken to restore the image. Experimental results show that the proposed SVM-based approach provides excellent performance with respect to various percentages of impulse noise.
引用
收藏
页码：533 / 538
页数：6
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