On the similarity based impulsive noise removal technique for multichannel images

  • Authors:

  • Bogdan Smolka

  • Affiliations:

  • Department of Automatic Control, Silesian University of Technology, Gliwice, Poland

  • Venue:
  • SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
  • Year:
  • 2003

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Abstract

In this paper a novel approach to the problem of impulsive noise reduction in color images based on the nonparametric density estimation 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 new method is faster than the standard vector median filter and preserves better edges and fine image details.