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.
Titolo: | A flexible updating framework for preconditioners in PDE-based image restoration algorithms |
Autore/i: | D. Bertaccini; SGALLARI, FIORELLA |
Autore/i Unibo: | |
Anno: | 2010 |
Titolo del libro: | ENUMATH 2009 |
Pagina iniziale: | 163 |
Pagina finale: | 170 |
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. |
Data prodotto definitivo in UGOV: | 24-nov-2010 |
Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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