Title :
Fast relative Newton algorithm for blind deconvolution of images
Author :
Bronstein, Alexander ; Zibulevsky, Michael ; Zeevi, Yehnshuri Z. ; Bronstein, Michael M.
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
Abstract :
We present an efficient Newton-like algorithm for quasimaximum 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.
Keywords :
Newton method; deconvolution; image restoration; maximum likelihood estimation; Newton-like algorithm; QML blind deconvolution; distribution-shaping approach; image restoration; natural images; quasimaximum likelihood; sparsification; Astronomy; Biomedical imaging; Deconvolution; Degradation; Finite impulse response filter; Image restoration; Kernel; Large scale integration; Layout; Remote sensing;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1419528
