Adaptive order statistics rational hybrid filters for multichannel image processing

Lazhar Khriji, Moncef Gabbouj

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A new adaptive multichannel filtering approach is introduced and analyzed in this paper. The technique is simpler and more appropriate than traditional approaches that have been addressed by means of groupwise vector ordering information. These filters are a two-stage filters based on rational functions (RF) using fuzzy transformations of the Euclidean and angular distances among the different vectors to adapt to local data in the color image. The output is the result of vector rational operation taking into account three fuzzy sub-function outputs. 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
Pages (from-to)422-431
Number of pages10
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE84-A
Issue number2
Publication statusPublished - 2001

Fingerprint

Order Statistics
Image Processing
Image processing
Statistics
Filter
Rational functions
Adaptive filtering
Output
Color Image
Rational function
Preservation
Euclidean
Filtering
Simulation Study
Color

Keywords

  • Color image processing
  • Fuzzy
  • Rational

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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