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Salt-and-pepper noise removal based on nonlocal mean filter

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

Abstract

In this paper, a new two-phase method for salt-and-pepper noise removal is proposed which combines the adaptive median filter and nonlocal mean filter. In the first phase, the adaptive median filter is used to identity pixels which are likely to be contaminated by noise. In the second phase, the image is restored using the nonlocal mean filter which is firstly proposed for Gaussian noise removal. It has a strong ability to handle textures and repetitive structures. Experimental results show that the proposed algorithm achieved not only high PSNR but also pleasure visual results even when the noise level is high as 90%.

Original languageEnglish
Title of host publication2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013 - Proceedings
Pages577-580
Number of pages4
DOIs
StatePublished - 2013
Event2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013 - Xianning, China
Duration: 20 Nov 201322 Nov 2013

Publication series

Name2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013 - Proceedings

Conference

Conference2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013
Country/TerritoryChina
CityXianning
Period20/11/1322/11/13

Keywords

  • Image denoise
  • Nonlocal mean filter
  • Salt-and-Pepper noise

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