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

In: Numerical Mathematics and Advanced Applications 2009

Author

Listed:
  • Daniele Bertaccini

    (Università di Roma “Tor Vergata”, Dipartimento di Matematica)

  • Fiorella Sgallari

    (Università di Bologna, Dipartimento di Matematica and CIRAM)

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.

Suggested Citation

  • Daniele Bertaccini & Fiorella Sgallari, 2010. "A Flexible Updating Framework for Preconditioners in PDE-Based Image Restoration Algorithms," Springer Books, in: Gunilla Kreiss & Per Lötstedt & Axel Målqvist & Maya Neytcheva (ed.), Numerical Mathematics and Advanced Applications 2009, pages 163-170, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-11795-4_16
    DOI: 10.1007/978-3-642-11795-4_16
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