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A compressive sensing approach to image restoration

  • University of Wollongong

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

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
PublisherIEEE Computer Society
Pages111-115
Number of pages5
ISBN (Print)9780769542713
DOIs
Publication statusPublished - 2010
Externally publishedYes

Publication series

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

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