Image restoration with noise suppression using a wavelet transform and a multiresolution support constraint

Jean Luc Starck, Fionn D. Murtagh, Albert Bijaoui

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

9 Citations (Scopus)

Abstract

The notion of a multiresolution support is introduced. This is a sequence of boolean images, related to significant pixels at each of a number of resolution levels. The multiresolution support is then used for noise suppression, in the context of iterative image restoration. Algorithmic details and examples illustrate this approach.

Original languageEnglish
Title of host publicationInternational Symposium On Optics, Imaging, And Instrumentation 
Subtitle of host publicationImage Reconstruction and Restoration
EditorsTimothy J Schultz, Donald L Snyder
PublisherSPIE
Pages132-143
Number of pages12
Volume2302
ISBN (Print)0819416266
DOIs
Publication statusPublished - 30 Sep 1994
Externally publishedYes
EventSPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation: Image Reconstruction and Restoration - San Diego, United States
Duration: 24 Jul 199429 Jul 1994

Publication series

NameProceedings of SPIE International Symposium On Optics, Imaging, And Instrumentation 
PublisherSPIE
Volume2302
ISSN (Print)0277-786X

Conference

ConferenceSPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation
CountryUnited States
CitySan Diego
Period24/07/9429/07/94

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Cite this

Starck, J. L., Murtagh, F. D., & Bijaoui, A. (1994). Image restoration with noise suppression using a wavelet transform and a multiresolution support constraint. In T. J. Schultz, & D. L. Snyder (Eds.), International Symposium On Optics, Imaging, And Instrumentation : Image Reconstruction and Restoration (Vol. 2302, pp. 132-143). (Proceedings of SPIE International Symposium On Optics, Imaging, And Instrumentation ; Vol. 2302). SPIE. https://doi.org/10.1117/12.188035