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A Fuzzy C-Means Based Color Impulse Noise Detection and Its Benefits for Color Image Filtering

  • Mihaela Cislariu
  • Mihaela Gordan
  • Victor Eugen Salca
  • Aurel Vlaicu
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 95)

Abstract

Many median filters are developed for images affected by color impulse noise. A particular approach aims to preserve fine details by noise detection followed by filtering. The color noise detection algorithms vary as principle and performance. This paper proposes a new color image filtering method from this class, which jointly applies two methods of modified fuzzy c-means clustering for the detection of noisy pixels and afterwards performs a color noise filtering on the detected pixels only. The approach shows a good noise detection performance (in terms of false acceptance and false rejection rates), and the filtering performance in terms of PSNR and details preservation is superior to other filters (including vector median filter).

Keywords

Color Image Membership Degree Impulse Noise Color Noise Noise Detection 
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 2011

Authors and Affiliations

  • Mihaela Cislariu
    • 1
  • Mihaela Gordan
    • 1
  • Victor Eugen Salca
    • 1
  • Aurel Vlaicu
    • 1
  1. 1.Technical University of Cluj-NapocaCluj-NapocaRomania

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