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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Liu, H., Sun, F., & Sun, Z. (2006). Image filtering using support vector machine. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3972 LNCS, pp. 533–538). Springer Verlag. https://doi.org/10.1007/11760023_78
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