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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NUMA_final__R1.pdf - Author Accepted Manuscript Download (10MB) |
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 |
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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: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3018792 |