An adaptive approach for removing impulsive noise in digital images
Hao-Song Kong, Ling Guan · 2002
A new approach is proposed to eliminate impulsive noise with Gaussian or uniform random distribution in digital images. The method is based on impulse noise detection by means of a self-organizing neural network and a class of noise-exclusive adaptive filters. The filtering scheme presented can suppress impulse noise effectively as well as preserving image edges and fine details. Experimental results demonstrated that the performance of the noise-exclusive adaptive filters are superior to that of traditional median filter, central weighted median filter and multistage median filter.