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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Abstract

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
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3018792