An effective impulse noise detector of switching median filter using min-max working window

Pei Yin Chen, Chih Yuan Lien, Chang Yan Tsai

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

7 Citations (Scopus)

Abstract

In this paper, an effective impulse noise detector of switching median filter is proposed. Our method compares the current pixel with the brightest and the darkest pixels in its working window and uses the difference value of them to determine whether the current pixel is corrupted by impulse noise or not. Particularly, it can remove the noise from corrupted images efficiently and requires no previous training. The experimental results demonstrate that our method achieves excellent performance in terms of undetected ratio, mis-detected ratio and PSNR, especially when the image is under heavy corruption. Since our method requires low computational complexity, it is suitable to be implemented by hardware and applied to many real-time applications.

Original languageEnglish
Title of host publicationSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007
PublisherIEEE Computer Society
ISBN (Print)0769528821, 9780769528823
DOIs
Publication statusPublished - 2007 Jan 1
Event2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto, Japan
Duration: 2007 Sept 52007 Sept 7

Publication series

NameSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007

Other

Other2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
Country/TerritoryJapan
CityKumamoto
Period07-09-0507-09-07

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Mechanical Engineering

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