关键词: 椒盐噪声, 中值滤波, 支持向量机, 回归

Abstract: In view of the correlation of neighboring pixels and characteristic of salt-pepper noise in nature images，a SVM（support vector machine）-based method is proposed for restore images corrupted by salt-pepper noise.Firstly，gray surface of image is optimally fitted by the learning mechanism of SVM.Then the support vectors are extracted from the training samples and decision function is built up as a training result.Accordingly，original intensity values of noise pixels are predicted using well-fitted gray surface.Compared with traditional median filters and average filters，the approach can remove noise efficiently while preserving the more detail information，especially for those images with high noise ratio.

Key words: salt-pepper noise, median filter, support vector machine, regression