Improved optimization methods for image registration problems

Chen, Ke ORCID: 0000-0002-6093-6623, Grapiglia, Geovani Nunes, Yuan, Jinyun and Zhang, Daoping
(2019) Improved optimization methods for image registration problems. NUMERICAL ALGORITHMS, 80 (2). pp. 305-336.

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In this paper, we propose new multilevel optimization methods for minimizing continuously differentiable functions obtained by discretizing models for image registration problems. These multilevel schemes rely on a novel two-step Gauss-Newton method, in which a second step is computed within each iteration by minimizing a quadratic approximation of the objective function over a certain two-dimensional subspace. Numerical results on image registration problems show that the proposed methods can outperform the standard multilevel Gauss-Newton method.

Item Type: Article
Uncontrolled Keywords: Image registration, Multilevel strategy, Gauss-Newton method, Subspace methods
Depositing User: Symplectic Admin
Date Deposited: 11 Apr 2018 10:34
Last Modified: 19 Jan 2023 06:38
DOI: 10.1007/s11075-018-0486-2
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