Restoration of manifold-valued images by half-quadratic minimization
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 281-304 |
Journal / Publication | Inverse Problems and Imaging |
Volume | 10 |
Issue number | 2 |
Online published | Apr 2016 |
Publication status | Published - May 2016 |
Externally published | Yes |
Link(s)
Abstract
The paper addresses the generalization of the half-quadratic minimization method for the restoration of images having values in a complete, connected Riemannian manifold. We recall the half-quadratic minimization method using the notation of the c-transform and adapt the algorithm to our special variational setting. We prove the convergence of the method for Hadamard spaces. Extensive numerical examples for images with values on spheres, in the rotation group SO(3), and in the manifold of positive definite matrices demonstrate the excellent performance of the algorithm. In particular, the method with SO(3)-valued data shows promising results for the restoration of images obtained from Electron Backscattered Diffraction which are of interest in material science.
Research Area(s)
- DT-MRI, EBSD, Half-uadratic minimization, Manifold-valued data, Quasi-Newton method, Variational restoration methods
Citation Format(s)
Restoration of manifold-valued images by half-quadratic minimization. / Bergmann, Ronny; Chan, Raymond H.; Hielscher, Ralf et al.
In: Inverse Problems and Imaging, Vol. 10, No. 2, 05.2016, p. 281-304.
In: Inverse Problems and Imaging, Vol. 10, No. 2, 05.2016, p. 281-304.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review