TY - JOUR
T1 - Fast relative Newton algorithm for blind deconvolution of images
AU - Bronstein, Alexander M.
AU - Zibulevsky, Michael
AU - Zeevi, Yehoshua Y.
AU - Bronstein, Michael M.
PY - 2004
Y1 - 2004
N2 - We present an efficient Newton-like algorithm for quasi-maximum likelihood (QML) blind deconvolution of images. This algorithm exploits the sparse structure of the Hessian. An optimal distribution-shaping approach by means of sparsification allows one to use simple and convenient sparsity prior for processing of a wide range of natural images. Simulation results demonstrate the efficiency of the proposed method.
AB - We present an efficient Newton-like algorithm for quasi-maximum likelihood (QML) blind deconvolution of images. This algorithm exploits the sparse structure of the Hessian. An optimal distribution-shaping approach by means of sparsification allows one to use simple and convenient sparsity prior for processing of a wide range of natural images. Simulation results demonstrate the efficiency of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=20444493214&partnerID=8YFLogxK
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AN - SCOPUS:20444493214
SN - 1522-4880
VL - 5
SP - 1233
EP - 1236
JO - Proceedings - International Conference on Image Processing, ICIP
JF - Proceedings - International Conference on Image Processing, ICIP
T2 - 2004 International Conference on Image Processing, ICIP 2004
Y2 - 18 October 2004 through 21 October 2004
ER -