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 / D. Bertaccini; F. Sgallari. - STAMPA. - (2010), pp. 163-170. (Intervento presentato al convegno Proceedings of ENUMATH 2009, the 8th European Conference on Numerical Mathematics and Advanced Applications, Uppsala, July 2009 tenutosi a Uppsala nel July 2009).
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
