A multilevel method for image registration

In this paper we introduce a new framework for image registration. Our formulation is based on consistent discretization of the optimization problem coupled with a multigrid solution of the linear system which evolves in a Gauss--Newton iteration. We show that our discretization is $h$-elliptic inde...

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Veröffentlicht in:SIAM journal on scientific computing 2006, Vol.27 (5), p.1594-1607
Hauptverfasser: HABER, Eldad, MODERSITZKI, Jan
Format: Artikel
Sprache:eng
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Zusammenfassung:In this paper we introduce a new framework for image registration. Our formulation is based on consistent discretization of the optimization problem coupled with a multigrid solution of the linear system which evolves in a Gauss--Newton iteration. We show that our discretization is $h$-elliptic independent of parameter choice, and therefore a simple multigrid implementation can be used. To overcome potential large nonlinearities and to further speed up computation, we use a multilevel continuation technique. We demonstrate the efficiency of our method on a realistic highly nonlinear registration problem.
ISSN:1064-8275
1095-7197
DOI:10.1137/040608106