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A compressive sensing approach to image restoration

Conference Paper


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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.

Publication Date


  • 2010

Citation


  • Kitchener, M., Bouzerdoum, A. & Phung, S. (2010). A compressive sensing approach to image restoration. Digital Image Computing: Techniques and Applications (pp. 111-115). USA: IEEE.

Scopus Eid


  • 2-s2.0-79951630944

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1841&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/828

Start Page


  • 111

End Page


  • 115

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.

Publication Date


  • 2010

Citation


  • Kitchener, M., Bouzerdoum, A. & Phung, S. (2010). A compressive sensing approach to image restoration. Digital Image Computing: Techniques and Applications (pp. 111-115). USA: IEEE.

Scopus Eid


  • 2-s2.0-79951630944

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1841&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/828

Start Page


  • 111

End Page


  • 115