A “Salt and Pepper” Noise Reduction Scheme for Digital Images Based on Support Vector Machines Classification and Regression
Figure 3
Example of a regression training image with a height of 128 and 20% added noise. (a) Nonnoisy image taken as model. (b) Noisy image with 20% white impulses.
