A Flexible Updating Framework for Preconditioners in PDE-Based Image Restoration Algorithms

Daniele Bertaccini () and Fiorella Sgallari ()
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Daniele Bertaccini: Università di Roma “Tor Vergata”, Dipartimento di Matematica
Fiorella Sgallari: Università di Bologna, Dipartimento di Matematica and CIRAM

A chapter in Numerical Mathematics and Advanced Applications 2009, 2010, pp 163-170 from Springer

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 perform some tests where the efficiency of the strategy is confirmed.

Keywords: Book Picture; Partial Differential Equation Model; Incomplete Factorization; Drop Tolerance; Complex Symmetric Linear System (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-11795-4_16

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DOI: 10.1007/978-3-642-11795-4_16

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