A “Salt and Pepper” Noise Reduction Scheme for Digital Images Based on Support Vector Machines Classification and Regression

Figure 2

Examples of noise detection for images Lenna and Albert.

(a) Lenna 20%

(b) Detected noise

(c) False detected pixels 0.04%

(d) Albert 20%

(e) Detected noise

(f) False detected pixels 0.26%

(g) Bridge 20%

(h) Detected noise

(i) False detected pixels 0.76%