Nonlinear Flows for Displacement Correction and Applications in Tomography
arXiv:1701.001624 citationsh-index: 49
Originality Synthesis-oriented
AI Analysis
It addresses the problem of displacement correction in imaging for tomography applications, but the results are preliminary and the method is incremental.
The paper derives nonlinear evolution equations for correcting displacement errors in imaging data and demonstrates their application to correcting angular perturbations in tomographical data.
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.