Edge preserving probabilistic smoothing algorithm

  • Authors:

  • Bogdan Smolka;Konrad W. Wojciechowski

  • Affiliations:

  • -;-

  • Venue:
  • CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns
  • Year:
  • 1999

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Abstract

In the presented paper a new probabilistic approach to the problem of noise reduction has been presented. It is based on the concept of a virtual particle performing a random walk on the image lattice, with transition probabilities derived from the median distribution. The probabilistic smoothing algorithm combined with a cooling procedure, known from the simulated annealing optimization method, constitutes a new powerful technique of noise suppression, capable of preserving edges and other image features.