Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization

Raymond H. CHAN*, Chung Wa HO, Mila NIKOLOVA

*Corresponding author for this work

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

906 Citations (Scopus)


This paper proposes a two-phase scheme for removing salt-and-pepper impulse noise. In the first phase, an adaptive median filter is used to identify pixels which are likely to be contaminated by noise (noise candidates). In the second phase, the image is restored using a specialized regularization method that applies only to those selected noise candidates. In terms of edge preservation and noise suppression, our restored images show a significant improvement compared to those restored by using just nonlinear filters or regularization methods only. Our scheme can remove salt-and-pepper-noise with a noise level as high as 90%.

Original languageEnglish
Pages (from-to)1479-1485
Number of pages7
JournalIEEE Transactions on Image Processing
Issue number10
Early online date19 Sept 2005
Publication statusPublished - Oct 2005
Externally publishedYes


  • Adaptive median filter
  • Edge-preserving regularization
  • Impulse noise


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