Self-adaptive algorithm of impulsive noise reduction in color images |
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Authors: | B Smolka KN Plataniotis A Chydzinski M Szczepanski AN Venetsanopoulos K Wojciechowski |
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Affiliation: | a Department of Automatic Control, Silesian University of Technology, Akademicka 16 Str, 44-101 Gliwice, Poland b Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Canada M5S 1A4 |
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Abstract: | In this paper a new approach to the problem of impulsive noise reduction in color images is presented. The basic idea behind the new image filtering technique is the maximization of the similarities between pixels in a predefined filtering window. The improvement introduced to this technique lies in the adaptive establishing of parameters of the similarity function and causes that the new filter adapts itself to the fraction of corrupted image pixels. The new method preserves edges, corners and fine image details, is relatively fast and easy to implement. The results show that the proposed method outperforms most of the basic algorithms for the reduction of impulsive noise in color images. |
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Keywords: | Color image processing Multichannel filters Impulsive noise Adaptive techniques |
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