Solution of inverse problems in image processing by wavelet expansion

G. Wang, J. Zhang, G. W. Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this paper, we describe a wavelet approach to linear inverse problems in image processing. In this approach, the images and the operator to be inverted are expanded by wavelets and various constraints for a regularized solution are enforced through wavelet coefficients. This approach also provides a solution to an important problem in multigrid/multiresolution processing: representing an operator in different resolutions. The application of the proposed approach is demonstrated through image restoration.

Original languageEnglish (US)
Title of host publicationImage and Multidimensional Signal Processing
PublisherPubl by IEEE
PagesV-61-V-64
ISBN (Print)0780309464
StatePublished - Jan 1 1993
Externally publishedYes
EventIEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5) - Minneapolis, MN, USA
Duration: Apr 27 1993Apr 30 1993

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume5
ISSN (Print)0736-7791

Other

OtherIEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5)
CityMinneapolis, MN, USA
Period4/27/934/30/93

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Wang, G., Zhang, J., & Pan, G. W. (1993). Solution of inverse problems in image processing by wavelet expansion. In Image and Multidimensional Signal Processing (pp. V-61-V-64). (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing; Vol. 5). Publ by IEEE.