Fast image restoration methods for impulse and Gaussian noises removal

Yu Mei Huang*, Kwok Po Ng, You Wei Wen

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

64 Citations (Scopus)


In this paper, we study the restoration of blurred images corrupted by impulse noise or mixed impulse plus Gaussian noises. In the proposed method, we use the modified total variation minimization scheme to regularize the deblurred image and fill in suitable values for noisy image pixels where these are detected by median-type filters. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. Our experimental results show the proposed algorithm is very efficient and the quality of restored images by the proposed method is competitive with those restored by the existing variational image restoration methods.

Original languageEnglish
Pages (from-to)457-460
Number of pages4
JournalIEEE Signal Processing Letters
Issue number6
Publication statusPublished - Jun 2009

Scopus Subject Areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

User-Defined Keywords

  • Deblurring
  • Denoising
  • Gaussian noise
  • Impulse noise
  • Total variation


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