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

<table>Example of training images for classification. The added impulse noise is 20%. (a) Training image to detect white pixels; (b) training image to detect black pixels.</table>

The Scientific World Journal

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Figure 1

Figure 1: A “Salt and Pepper” Noise Reduction Scheme for Digital Images Based on Support Vector Machines Classification and Regression 