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Adaptive generalized vector median filter

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, a new adaptive filter intended for the attenuation of impulse noise in color images is proposed. The new filtering design is based on the concept of a peer group of pixels sharing similar chromatic properties. The novel approach adaptively determines the size of the peer group which minimizes the aggregated distance to the peer group members, utilizing the Fisher linear discriminant. The analysis of the obtained noise reduction results leads to the conclusion that the new filter is capable of reducing even strong impulse noise, while preserving and even enhancing the edges of color images. This unique property of the proposed filtering design is shown on examples of color biomedical images.

Original languageEnglish
Title of host publicationProgress in Pattern Recognition, Image Analysis and Applications - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Proceedings
Pages30-37
Number of pages8
DOIs
Publication statusPublished - 2008
Event13th Iberoamerican Congress on Pattern Recognition, CIARP 2008 - Havana, Cuba
Duration: 9 Sept 2008 → 12 Sept 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5197 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th Iberoamerican Congress on Pattern Recognition, CIARP 2008
Country/TerritoryCuba
CityHavana
Period9/09/08 → 12/09/08

Keywords

  • Color image processing
  • Image enhancement
  • Impulse noise reduction

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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