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Evolving Order Statistics Filters for Image Enhancement

  • Cristian Munteanu
  • Agostinho Rosa
Conference paper

Abstract

This paper describes an effective method for performing both image denoising and contrast/brightness enhancement to images corrupted with a wide category of noise. The method employs a Real-Coded Genetic Algorithm with subjective fitness and a novel crossover operator called Gaussian Uniform Crossover. The algorithm evolves the structure of a general Order Statistics Filter (OSF). Results are presented that indicate the efficiency of the method proposed as compared to classical filtering methods.

Keywords

Median Filter Image Enhancement Image Denoising Speckle Noise Pepper Noise 
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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References

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Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Cristian Munteanu
    • 1
  • Agostinho Rosa
    • 2
  1. 1.LaSEEB, ISR — ISTPortugal
  2. 2.LaSEEB, ISR — ISTPortugal

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