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Evolutionary Tree-Structured Filter for Impulse Noise Removal

  • Nemanja I. Petrović
  • Vladimir S. Crnojević
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4179)

Abstract

A new evolutionary approach for construction of uniform impulse noise filter is presented. Genetic programming is used for combining the basic image transformations and filters into tree structure, which can accurately estimate noise map. Proposed detector is employed for building switching-scheme filter, where recursively implemented α-trimmed mean is used as the estimator of corrupted pixel values. The proposed evolutionary filtering structure shows very good results in removal of uniform impulse noise, for wide range of noise probabilities and different test images.

Keywords

Noisy Image Impulse Noise Primitive Function Noisy Pixel Corrupted Pixel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Nemanja I. Petrović
    • 1
  • Vladimir S. Crnojević
    • 2
  1. 1.Dept. of Telecommunications and Information Processing (TELIN), IPIGhent UniversityGentBelgium
  2. 2.Faculty of EngineeringNovi SadSerbia

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