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On multiple level-set regularization methods for inverse problems

A DeCezaro1, A Leitão2 and X-C Tai3,4

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We analyze a multiple level-set method for solving inverse problems with piecewise constant solutions. This method corresponds to an iterated Tikhonov method for a particular Tikhonov functional {\cal G}_\alpha based on TVH1 penalization. We define generalized minimizers for our Tikhonov functional and establish an existence result. Moreover, we prove convergence and stability results of the proposed Tikhonov method. A multiple level-set algorithm is derived from the first-order optimality conditions for the Tikhonov functional {\cal G}_\alpha , similarly as the iterated Tikhonov method. The proposed multiple level-set method is tested on an inverse potential problem. Numerical experiments show that the method is able to recover multiple objects as well as multiple contrast levels.


PACS

02.30.Zz Inverse problems

02.60.-x Numerical approximation and analysis

02.10.Ab Logic and set theory

MSC

35R30 Inverse problems (undetermined coefficients, etc.) for PDE

35J67 Boundary values of solutions to elliptic PDE

65N21 Inverse problems

65J20 Improperly posed problems; regularization

Subjects

Mathematical physics

Computational physics

Dates

Issue 3 (March 2009)

Received 18 August 2008, in final form 12 December 2008

Published 13 January 2009



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