Fast nonstationary preconditioned iterative methods for ill-posed problems, with application to image deblurring

We introduce a new iterative scheme for solving linear ill-posed problems, similar to nonstationary iterated Tikhonov regularization, but with an approximation of the underlying operator to be used for the Tikhonov equations. For image deblurring problems, such an approximation can be a discrete dec...

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Veröffentlicht in:	Inverse problems 2013-09, Vol.29 (9), p.95008-16
Hauptverfasser:	Donatelli, Marco, Hanke, Martin
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation Ill posed problems imaging Iterative methods Mathematical analysis Mathematical models nonstationary iterated Tikhonov method preconditioner Regularization Strategy
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