Preconditioned iterative regularization in Banach spaces

Paola Brianzi (), Fabio Di Benedetto () and Claudio Estatico ()

Computational Optimization and Applications, 2013, vol. 54, issue 2, 263-282

Abstract: Regularization methods for inverse problems formulated in Hilbert spaces usually give rise to over-smoothness, which does not allow to obtain a good contrast and localization of the edges in the context of image restoration. On the other hand, regularization methods recently introduced in Banach spaces allow in general to obtain better localization and restoration of the discontinuities or localized impulsive signals in imaging applications. We present here an expository survey of the topic focused on the iterative Landweber method. In addition, preconditioning techniques previously proposed for Hilbert spaces are extended to the Banach setting and numerically tested. Copyright Springer Science+Business Media New York 2013

Keywords: Regularization; Banach spaces; Landweber method; Preconditioning (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10589-012-9527-2

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