A fast and efficient noise reduction method suitable for low noise density

Chin Chen Chang, Chih Ping Hsieh, Ju Yuan Hsiao

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

Abstract

A fast and efficient noise reduction method is proposed in this paper. The main idea of the method is to reduce the running time of the standard median filter. The major difference between our method and the standard median filter is the preprocessing work before filtering. We use a simple noise detection scheme to decide which pixel should be processed with the standard median filter. Our noise detection scheme is based on image hiding technology. The experimental results show that our method uses only about a quarter of the running time consumed by the standard median filter. By the experimental results, we shall also show that our method is more suitable for low noise density than other famous median filters like the standard median filter and the center weighted median filter.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings
EditorsYung-Chang Chen, Long-Wen Chang, Chiou-Ting Hsu
PublisherSpringer Verlag
Pages386-392
Number of pages7
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

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Chang, C. C., Hsieh, C. P., & Hsiao, J. Y. (2002). A fast and efficient noise reduction method suitable for low noise density. In Y-C. Chen, L-W. Chang, & C-T. Hsu (Eds.), Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings (pp. 386-392). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2532). Springer Verlag.