Multichannel image processing using Fuzzy Vector Median-rational hybrid filters

Lazhar Khriji, Moncef Gabbouj

Research output: Contribution to journalArticle

Abstract

A new multichannel filtering approach is introduced and analyzed in this paper. These filters are based on rational functions (RF) using fuzzy transformations of the Euclidean distances among the different vectors to adapt to local data in the image. The output is the result of vector rational operation taking into account three sub-functions, such as two Fuzzy Vector Median (FVM) sub-filters and one Fuzzy Center Weighted Vector Median Filter (FCWVMF). Simulation studies indicate that the filters are computationally attractive and have excellent performance such as edge and details preservation and accurate chromaticity estimation.

Original languageEnglish
Article number7075448
JournalEuropean Signal Processing Conference
Volume2015-March
Issue numberMarch
Publication statusPublished - Mar 31 2000

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Image processing
Median filters
Rational functions

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Multichannel image processing using Fuzzy Vector Median-rational hybrid filters. / Khriji, Lazhar; Gabbouj, Moncef.

In: European Signal Processing Conference, Vol. 2015-March, No. March, 7075448, 31.03.2000.

Research output: Contribution to journalArticle

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