Abstract | ||
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In this paper, we consider the variational regularization of manifold-valued data in the inverse problems setting. In particular, we consider total variation and total generalized variation regularization for manifold-valued data with indirect measurement operators. We provide results on the well-posedness and present algorithms for a numerical realization of these models in the manifold setup. Fu... |
Year | DOI | Venue |
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2018 | 10.1093/imaiai/iaaa010 | Information and Inference: A Journal of the IMA |
Keywords | Field | DocType |
manifold-valued data,inverse problems,indirect measurement operator,TV regularization,higher-order regularization | Applied mathematics,Mathematical optimization,Regularization (mathematics),Operator (computer programming),Inverse problem,Mathematics,Manifold | Journal |
Volume | Issue | ISSN |
10 | 1 | 2049-8764 |
Citations | PageRank | References |
1 | 0.35 | 21 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Martin Storath | 1 | 138 | 12.69 |
andreas weinmann | 2 | 138 | 12.81 |