A compressive sensing approach to image restoration

Authors

Matthew Kitchener, University of WollongongFollow
Abdesselam Bouzerdoum, University of WollongongFollow
Son Lam Phung, University of WollongongFollow

RIS ID

34873

Publication Details

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

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.