DocumentCode :
3715831
Title :
Application of cyclic block generalized gradient projection methods to poisson blind deconvolution
Author :
S. Rebegoldi;S. Bonettini;M. Prato
Author_Institution :
Università
fYear :
2015
Firstpage :
225
Lastpage :
229
Abstract :
The aim of this paper is to consider a modification of a block coordinate gradient projection method with Armijo linesearch along the descent direction in which the projection on the feasible set is performed according to a variable non Euclidean metric. The stationarity of the limit points of the resulting scheme has recently been proved under some general assumptions on the generalized gradient projections employed. Here we tested some examples of methods belonging to this class on a blind deconvolution problem from data affected by Poisson noise, and we illustrate the impact of the projection operator choice on the practical performances of the corresponding algorithm.
Keywords :
"Decision support systems","Europe","Signal processing","Indexes","Silicon","Programming"
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2015 23rd European
Electronic_ISBN :
2076-1465
Type :
conf
DOI :
10.1109/EUSIPCO.2015.7362378
Filename :
7362378
Link To Document :
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