A detection statistic for random-valued impulse noise

Yiqiu DONG*, Raymond H. CHAN, Shufang XU

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

245 Citations (Scopus)

Abstract

This paper proposes an image statistic for detecting random-valued impulse noise. By this statistic, we can identify most of the noisy pixels in the corrupted images. Combining it with an edge-preserving regularization, we obtain a powerful two-stage method for denoising random-valued impulse noise, even for noise levels as high as 60%. Simulation results show that our method is significantly better than a number of existing techniques in terms of image restoration and noise detection.

Original languageEnglish
Pages (from-to)1112-1120
Number of pages9
JournalIEEE Transactions on Image Processing
Volume16
Issue number4
DOIs
Publication statusPublished - Apr 2007
Externally publishedYes

Keywords

  • Edge-preserving regularization
  • Image denoising
  • Noise detector
  • Random-valued impulse noise

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