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Entropy vector median filter

  • Rastislav Lukac
  • , Bogdan Smolka
  • , Konstantinos N. Plataniotis
  • , Anastasios N. Venetsanopoulos
  • Slovak Image Processing Center
  • University of Toronto

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

15 Citations (Scopus)

Abstract

In this paper, a new adaptive multichannel filter for the detection and removal of impulsive noise, bit errors and outliers in digital color images is provided. The proposed nonlinear filter takes the advantages of the concept of the local entropy contrast and the robust order-statistics theory. The new entropy based vector median is computationally attractive, robust for a wide range of the impulsive noise corruption and significantly improves the signal-detail preservation capability of the standard vector median filter.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsFrancisco Jose Perales, Aurelio J. C. Campilho, Nicolas Perez Perez, Nicolas Perez Perez
PublisherSpringer Verlag
Pages1117-1125
Number of pages9
ISBN (Print)3540402179, 9783540402176
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2652
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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