Total Variation Regularization for Manifold-Valued Data
نویسندگان
چکیده
منابع مشابه
Total Variation Regularization for Manifold-Valued Data
We consider total variation (TV) minimization for manifold-valued data. We propose a cyclic proximal point algorithm and a parallel proximal point algorithm to minimize TV functionals with -type data terms in the manifold case. These algorithms are based on iterative geodesic averaging which makes them easily applicable to a large class of data manifolds. As an application, we consider denoisin...
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ژورنال
عنوان ژورنال: SIAM Journal on Imaging Sciences
سال: 2014
ISSN: 1936-4954
DOI: 10.1137/130951075