RESTORATION OF MANIFOLD-VALUED IMAGES BY HALF-QUADRATIC MINIMIZATION

被引:45
|
作者
Bergmann, Ronny [1 ]
Chan, Raymond H. [2 ]
Hielscher, Ralf [3 ]
Persch, Johannes [1 ]
Steidl, Gabriele [1 ]
机构
[1] Univ Kaiserslautern, Dept Math, Paul Ehrlich Str 31, D-67663 Kaiserslautern, Germany
[2] Chinese Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R China
[3] Univ Chemnitz, Fac Math, Reichenhainer Str 39, D-09107 Chemnitz, Germany
关键词
Manifold-valued data; variational restoration methods; half-uadratic minimization; quasi-Newton method; EBSD; DT-MRI; REGULARIZATION; RECONSTRUCTION; RECOVERY;
D O I
10.3934/ipi.2016001
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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.
引用
收藏
页码:281 / 304
页数:24
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