An improved algorithm for removing impulse noise based on long-range correlation in an image

Yik Hing Fung, Yuk Hee Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

In this paper, an algorithm for removing impulse noise is proposed. The algorithm not only uses the information of neighboring pixels in a local region, but also uses the long-range correlation within a natural image. In the proposed algorithm, a search criterion based on the weighted transformed contents of regions is used to look for a region which is highly correlated to the region of interest and then the center of that region is selected to replace the corrupted pixel. The method is found to be very effective in removing impulse noise from corrupted images, both in terms of the objective distortion measure and subjective visual assessment.
Original languageEnglish
Title of host publicationProceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
PublisherIEEE
Pages157-160
Number of pages4
Volume1
ISBN (Electronic)0780373049
DOIs
Publication statusPublished - 1 Jan 2002
Event2002 IEEE International Conference on Multimedia and Expo, ICME 2002 - Lausanne, Switzerland
Duration: 26 Aug 200229 Aug 2002

Conference

Conference2002 IEEE International Conference on Multimedia and Expo, ICME 2002
CountrySwitzerland
CityLausanne
Period26/08/0229/08/02

ASJC Scopus subject areas

  • Archaeology
  • Electrical and Electronic Engineering

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