A compressive sensing approach to image restoration

M. A. Kitchener, A. Bouzerdoum, S. L. Phung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In this paper the image restoration problem is solved using a Compressive Sensing approach, and the translation invariant, a Trous, undecimated wavelet transform. The problem is cast as an unconstrained optimization problem which is solved using the Fletcher-Reeves nonlinear conjugate gradient method. A comparison based on experimental results shows that the proposed method achieves comparable if not better performance as other state-of-the-art techniques.

Original languageEnglish
Title of host publicationProceedings - 2010 Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2010
Pages111-115
Number of pages5
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventInternational Conference on Digital Image Computing: Techniques and Applications, DICTA 2010 - Sydney, NSW, Australia
Duration: 1 Dec 20103 Dec 2010

Publication series

NameProceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010

Conference

ConferenceInternational Conference on Digital Image Computing: Techniques and Applications, DICTA 2010
Country/TerritoryAustralia
CitySydney, NSW
Period1/12/103/12/10

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