SVM-based approach for removing salt-pepper noise from images
Chen Yingying · Computer Engineering and Applications Journal · 2009
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.