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On a new class of filters for the impulsive noise reduction in color images

  • University of Toronto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper a new approach to the problem of impulsive noise reduction for color images is presented. The new image filtering technique is based on the maximization of the similarities between pixels in a predefined filtering window. The new method filters out the noise component, while adapting itself to the local image structures. In this way the proposed algorithm is able to eliminate impulsive noise, while preserving edges and fine image details. Since the algorithm can be considered as a vector median filter driven by fuzzy membership functions it is fast and computationally efficient. Experimental results indicate that the proposed filter outperforms other commonly used algorithms for impulsive noise reduction in color images.

Original languageEnglish
Title of host publicationISPA 2001 - Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis - In conjunction with 23nd Int'l Conference on Information Technology Interfaces, ITI 2001
EditorsHrvoje Babic, Sven Loncaric
PublisherIEEE Computer Society
Pages114-118
Number of pages5
ISBN (Electronic)9539676940
DOIs
Publication statusPublished - 2001
Event2nd International Symposium on Image and Signal Processing and Analysis, ISPA 2001 - Pula, Croatia
Duration: 19 Jun 200121 Jun 2001

Publication series

NameInternational Symposium on Image and Signal Processing and Analysis, ISPA
Volume2001-January
ISSN (Print)1845-5921
ISSN (Electronic)1849-2266

Conference

Conference2nd International Symposium on Image and Signal Processing and Analysis, ISPA 2001
Country/TerritoryCroatia
CityPula
Period19/06/0121/06/01

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Signal Processing

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