Multiple resolution image restoration

A. W.C. Liew, Ngai Fong Law, D. T. Nguyen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)


A new algorithm for solving the deconvolution problem is proposed. This algorithm uses the wavelet transform to induce a multiresolution approach to deconvolve a blurred signal/image. The low resolution part of a signal/ image is restored first and then high resolution information is added successively into the estimation process. Two 'different ways to incorporate the image space positivity constraint, namely loosely and strictly, are discussed. In contrast to most restoration algorithms, the positivity constraint is applied directly in the transformed domain. The performance of the algorithm in the presence of noise is also investigated.
Original languageEnglish
Pages (from-to)199-206
Number of pages8
JournalIEE Proceedings: Vision, Image and Signal Processing
Issue number4
Publication statusPublished - 1 Jan 1997
Externally publishedYes


  • Image processing
  • Wavelet transform

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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