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

Lazhar Khriji, Moncef Gabbouj

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

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
Volume128
Issue number1
DOIs
Publication statusPublished - May 16 2002

Fingerprint

Color Image Processing
Color image processing
Order Statistics
Statistics
Filter
Fuzzy filters
Fuzzy Filter
Adaptive Techniques
Rational functions
Adaptive Filter
Output
Color Image
Attenuation
Rational function
Preservation
Image Processing
Euclidean
Image processing
Color
Simulation

Keywords

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

ASJC Scopus subject areas

  • Logic
  • Artificial Intelligence

Cite this

Adaptive fuzzy order statistics-rational hybrid filters for color image processing. / Khriji, Lazhar; Gabbouj, Moncef.

In: Fuzzy Sets and Systems, Vol. 128, No. 1, 16.05.2002, p. 35-46.

Research output: Contribution to journalArticle

@article{1a910283b4ea4798807685b47a9bb924,
title = "Adaptive fuzzy order statistics-rational hybrid filters for color image processing",
abstract = "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.",
keywords = "Color image processing, Fuzzy membership functions, Vector directional filters, Vector magnitude filters, Vector rational filters",
author = "Lazhar Khriji and Moncef Gabbouj",
year = "2002",
month = "5",
day = "16",
doi = "10.1016/S0165-0114(01)00181-6",
language = "English",
volume = "128",
pages = "35--46",
journal = "Fuzzy Sets and Systems",
issn = "0165-0114",
publisher = "Elsevier",
number = "1",

}

TY - JOUR

T1 - Adaptive fuzzy order statistics-rational hybrid filters for color image processing

AU - Khriji, Lazhar

AU - Gabbouj, Moncef

PY - 2002/5/16

Y1 - 2002/5/16

N2 - 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.

AB - 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.

KW - Color image processing

KW - Fuzzy membership functions

KW - Vector directional filters

KW - Vector magnitude filters

KW - Vector rational filters

UR - http://www.scopus.com/inward/record.url?scp=0037118201&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0037118201&partnerID=8YFLogxK

U2 - 10.1016/S0165-0114(01)00181-6

DO - 10.1016/S0165-0114(01)00181-6

M3 - Article

VL - 128

SP - 35

EP - 46

JO - Fuzzy Sets and Systems

JF - Fuzzy Sets and Systems

SN - 0165-0114

IS - 1

ER -