A “Salt and Pepper” Noise Reduction Scheme for Digital Images Based on Support Vector Machines Classification and Regression
Figure 10
Reconstruction results for the Lenna and Barbara images with 50% and 90% of “salt and pepper” noise, using the MDBUTMF (50%), MMEM (90%), SVM-M2, and SVM-R methods.