A “Salt and Pepper” Noise Reduction Scheme for Digital Images Based on Support Vector Machines Classification and Regression
Figure 9
Regression results for different sizes and percentages of noise in training images. Size results were obtained with and noise results were obtained using . The image used was Lenna and the SVM used the Gaussian kernel.
