Fast two-phase image deblurring under impulse noise

Jian Feng CAI, Raymond H. CHAN, Mila NIKOLOVA

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

152 Citations (Scopus)

Abstract

In this paper, we propose a two-phase approach to restore images corrupted by blur and impulse noise. In the first phase, we identify the outlier candidates-the pixels that are likely to be corrupted by impulse noise. We consider that the remaining data pixels are essentially free of outliers. Then in the second phase, the image is deblurred and denoised simultaneously by a variational method by using the essentially outlier-free data. The experiments show several dB's improvement in PSNR with respect to the typical variational methods.

Original languageEnglish
Pages (from-to)46-53
Number of pages8
JournalJournal of Mathematical Imaging and Vision
Volume36
Issue number1
DOIs
Publication statusPublished - Jan 2010
Externally publishedYes

Keywords

  • Deblurrind
  • Impulse noise
  • Two-phase methods

Fingerprint

Dive into the research topics of 'Fast two-phase image deblurring under impulse noise'. Together they form a unique fingerprint.

Cite this