Robust detection technique for removing random-valued impulse noise

Ali S. Awad, Hong Man

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

Abstract

This paper presents a new detection technique to detect the random valued-impulse noise. In this technique, the noisy pixels are detected progressively through several phases. In the first phase, the pixel that has a strange value amongst its neighboring pixels in the local window is detected first as a noisy pixel. Then in the next phase, the pixel that has less than three similar pixels amongst its neighboring is detected as noisy pixel, and so on. Extensive simulations demonstrate that this method comparable to the best method at low noise rates, but it outperforms other state of the art methods at high noise rates. This method suppresses impulse noise efficiently, while at the same time preserving the image details.

Original languageEnglish
Title of host publicationISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology
Pages575-577
Number of pages3
DOIs
StatePublished - 2007
EventISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology - Cairo, Egypt
Duration: 15 Dec 200718 Dec 2007

Publication series

NameISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology

Conference

ConferenceISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology
Country/TerritoryEgypt
CityCairo
Period15/12/0718/12/07

Keywords

  • Impulse noise
  • Noise detection
  • Noise restoration
  • Similar pixels

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