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.

Application of cyclic block generalized gradient projection methods to Poisson blind deconvolution / Rebegoldi, Simone; Bonettini, Silvia; Prato, Marco. - ELETTRONICO. - (2015), pp. 225-229. ((Intervento presentato al convegno 23rd European Signal Processing Conference, EUSIPCO 2015 tenutosi a Nice nel Aug. 31-Sept. 4 2015 [10.1109/EUSIPCO.2015.7362378].

Application of cyclic block generalized gradient projection methods to Poisson blind deconvolution

REBEGOLDI, SIMONE;BONETTINI, Silvia;PRATO, Marco
2015

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.
23rd European Signal Processing Conference, EUSIPCO 2015
Nice
Aug. 31-Sept. 4 2015
225
229
Rebegoldi, Simone; Bonettini, Silvia; Prato, Marco
Application of cyclic block generalized gradient projection methods to Poisson blind deconvolution / Rebegoldi, Simone; Bonettini, Silvia; Prato, Marco. - ELETTRONICO. - (2015), pp. 225-229. ((Intervento presentato al convegno 23rd European Signal Processing Conference, EUSIPCO 2015 tenutosi a Nice nel Aug. 31-Sept. 4 2015 [10.1109/EUSIPCO.2015.7362378].
File in questo prodotto:
File Dimensione Formato  
PratoApplication07362378.pdf

non disponibili

Tipologia: Versione dell'editore (versione pubblicata)
Dimensione 340.11 kB
Formato Adobe PDF
340.11 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
PratoApplicHANDLE 11380-1073401.pdf

accesso aperto

Tipologia: Pre-print dell'autore (bozza pre referaggio)
Dimensione 649.44 kB
Formato Adobe PDF
649.44 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/1073401
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact