IMPROVED BILATERAL FILTERING SCHEME FOR NOISE REMOVAL IN COLOR IMAGES
Krystyna Malik, Bogdan Smołka · 2012
In this paper a new approach to the problem of noise removal in color images is presented. The proposed filtering design is a modification of the bilateral denosing scheme, which takes into account the similarity between color pixels and their spatial distance. However, instead of direct calculation of the dissimilarity measure, the cost of a connection through a digital path joining the central pixel of the filtering window with the remaining pixels is determined. The filter output, like in the standard bilateral filter, is calculated as a weighted average of the pixels surrounding the center of the filtering window, and the weights are functions of the minimal connection costs. Experimental results prove that the introduced design yields significantly better results than the bilateral filter in the case of color images contaminated by strong mixed Gaussian and impulsive noise.