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An optimal regularization method for convolution equations on the sourcewise represented set

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Published/Copyright: January 27, 2015

Abstract

In this article, we consider an inverse problem for the integral equation of the convolution type in a multidimensional case. This problem is severely ill-posed. To deal with this problem, using a priori information (sourcewise representation) based on optimal recovery theory we propose a new method. The regularization and optimization properties of this method are proved. An optimal minimal a priori error of the problem is found. Moreover, a so-called optimal regularized approximate solution and its corresponding error estimation are considered. Efficiency and applicability of this method are demonstrated in a numerical example of the image deblurring problem with noisy data.

Funding source: RFBR

Award Identifier / Grant number: 14-01-00182-a

Funding source: RFBR

Award Identifier / Grant number: 14-01-91151-NSFC-a

Received: 2014-7-13
Revised: 2014-12-14
Accepted: 2014-12-26
Published Online: 2015-1-27
Published in Print: 2015-10-1

© 2015 by De Gruyter

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