Image filtering using support vector machine

Authors:
Huaping Liu;Fuchun Sun;Zengqi Sun
Affiliations:
Department of Computer Science and Technology, Tsinghua University, P.R. China;Department of Computer Science and Technology, Tsinghua University, P.R. China;Department of Computer Science and Technology, Tsinghua University, P.R. China
Venue:
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Year:
2006

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Abstract

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.