A two-stage switching-based median filter

Ju Yuan Hsiao, Shu Yi Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we proposed a two-stage switching-based median filter for impulsive noise removal. The noise-detection scheme contains a switching mechanism to identify the characteristic of center pixel. The first stage of our scheme is to identify the center pixel is a really uncorrupted pixel or not. If not, in order to increase the accuracy of noise detection, the center pixel is further discriminated as “uncorrupted pixel”, “impartial impulsive noise “or “impulsive noise “in the second stage. In the filtering scheme, action of “no filtering” is applied to “uncorrupted pixels”. The output of center weighted median and standard median are respectively applied to “impartial impulsive noise” and “impulsive noise”.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings
PublisherSpringer Verlag
Pages377-385
Number of pages9
Volume2532
ISBN (Print)3540002626, 9783540002628
Publication statusPublished - 2002 Jan 1
Event3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002 - Hsinchu, Taiwan
Duration: 2002 Dec 162002 Dec 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2532
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002
CountryTaiwan
CityHsinchu
Period02-12-1602-12-18

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Hsiao, J. Y., & Chen, S. Y. (2002). A two-stage switching-based median filter. In Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings (Vol. 2532, pp. 377-385). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2532). Springer Verlag.