An iterative procedure for removing random-valued impulse noise

Raymond H. CHAN*, Chen HU, Mila NIKOLOVA

*Corresponding author for this work

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

188 Citations (Scopus)


This paper proposes a two-stage iterative method for removing random-valued impulse noise. In the first phase, we use the adaptive center-weighted median filter to identify pixels which are likely to be corrupted by noise (noise candidates). In the second phase, these noise candidates are restored using a detail-preserving regularization method which allows edges and noise-free pixels to be preserved. These two phases are applied alternatively. Simulation results indicate that the proposed method is significantly better than those using just nonlinear filters or regularization only.

Original languageEnglish
Pages (from-to)921-924
Number of pages4
JournalIEEE Signal Processing Letters
Issue number12
Publication statusPublished - Dec 2004
Externally publishedYes


  • Adaptive center-weighted median filter
  • Impulse noise
  • Regularization methods


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