On the distance function approach to color image enhancement

Authors:
M. Szczepanski;B. Smolka;K. N. Plataniotis;A. N. Venetsanopoulos
Affiliations:
Department of Automatic Control, Silesian University of Technology, Akademicka 16 Street, 44-100 Gliwice, Poland;Department of Automatic Control, Silesian University of Technology, Akademicka 16 Street, 44-100 Gliwice, Poland;Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Canada;Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Canada
Venue:
Discrete Applied Mathematics - The 2001 international workshop on combinatorial image analysis (IWCIA 2001)
Year:
2004

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Abstract

A new class of image processing filters is introduced and analyzed in this paper. The new filters utilize fuzzy measures applied to image pixels connected by digital paths. The performance of the proposed filters is compared to the performance of commonly used filters, such as the vector median, under a variety of performance criteria. It is shown that the proposed filters are better able to suppress impulsive and Gaussian noise than the existing techniques. Also, they are robust to inaccuracies in parameter settings.