Nonlinear Flows for Displacement Correction and Applications in Tomography
Numerical Analysis
2017-01-03 v1 Analysis of PDEs
Optimization and Control
Abstract
In this paper we derive nonlinear evolution equations associated with a class of non-convex energy functionals which can be used for correcting displacement errors in imaging data. We study properties of these filtering flows and provide experiments for correcting angular perturbations in tomographical data.
Keywords
Cite
@article{arxiv.1701.00162,
title = {Nonlinear Flows for Displacement Correction and Applications in Tomography},
author = {Guozhi Dong and Otmar Scherzer},
journal= {arXiv preprint arXiv:1701.00162},
year = {2017}
}