Image deconvolution using wavelet-based regularization

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


In this paper, we propose a wavelet-based regularization algorithm for image deconvolution problems whose blurring filter is a low pass filter of an M-band wavelet. The perfect reconstruction formula of this M-band wavelet is used to establish our wavelet-based regularization algorithm. The simulations shew that our proposed algorithm for image deconvolution performs better than that of the Wiener filter and some other wavelet-based deconvolution algorithms in terms of the improvement in signal-to-noise ratio.

Original languageEnglish (US)
Pages (from-to)5-10
Number of pages6
JournalJournal of Electronic Imaging
Issue number1
StatePublished - Jan 2002
Externally publishedYes

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering


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