In this paper a novel class of noise attenuating and edge enhancing filters for color image processing is introduced and analyzed. The proposed adaptive filter design is minimizing the cumulative dissimilarity measure of a cluster of pixels belonging to a sliding filtering window and outputs the most centrally located pixel. The proposed filter is computationally efficient, easy to implement and very effective in suppressing impulsive noise, while preserving image details and enhancing its edges. Therefore it can be used in any application in which simultaneous denoising and edge enhancement is a prerequisite for further steps of the color image processing pipeline. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Smolka, B. (2011). Adaptive edge enhancing technique of impulsive noise removal in color digital images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6626 LNCS, pp. 60–74). https://doi.org/10.1007/978-3-642-20404-3_5
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