Abstract We propose the solution of some discretized partial differential equation models for image denoising and deblurring by iterative linear system solvers accelerated by a simple but flexible framework for updating incomplete factorization preconditioners that presents a computational cost linear in the number of the image pixels. Here we performsome tests where the efficiency of the strategy is confirmed.

A flexible updating framework for preconditioners in PDE-based image restoration algorithms

SGALLARI, FIORELLA
2010

Abstract

Abstract We propose the solution of some discretized partial differential equation models for image denoising and deblurring by iterative linear system solvers accelerated by a simple but flexible framework for updating incomplete factorization preconditioners that presents a computational cost linear in the number of the image pixels. Here we performsome tests where the efficiency of the strategy is confirmed.
ENUMATH 2009
163
170
D. Bertaccini; F. Sgallari
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/92875
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 0
social impact