Adaptive fuzzy order statistics-rational hybrid filters for color image processing

Lazhar Khriji*, Moncef Gabbouj

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)


In this paper, multichannel image processing using an adaptive approach is studied. The proposed approach is simpler and more appropriate than the traditional approaches that have been addressed by means of groupwise vector ordering information. These adaptive techniques are formed by a two-layer filter based on rational functions using fuzzy transformations of either the Euclidean or angular distances among the different vectors to adapt to local data in the color image. The output is the result of a vector rational operation taking into account three fuzzy sub-function outputs. Extensive simulation results illustrate that the new adaptive fuzzy filters are computationally attractive and achieve noise attenuation, chromaticity retention, and edges and details preservation.

Original languageEnglish
Pages (from-to)35-46
Number of pages12
JournalFuzzy Sets and Systems
Issue number1
Publication statusPublished - May 16 2002
Externally publishedYes


  • Color image processing
  • Fuzzy membership functions
  • Vector directional filters
  • Vector magnitude filters
  • Vector rational filters

ASJC Scopus subject areas

  • Logic
  • Artificial Intelligence


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