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Regularization with metric double integrals for vector tomography
| Content Provider | Scilit |
|---|---|
| Author | Melching, Melanie Scherzer, Otmar |
| Copyright Year | 2020 |
| Abstract | We present a family of non-local variational regularization methods for solving tomographic problems, where the solutions are functions with range in a closed subset of the Euclidean space, for example if the solution only attains values in an embedded sub-manifold. Recently, in [R. Ciak, M. Melching and O. Scherzer, Regularization with metric double integrals of functions with values in a set of vectors, J. Math. Imaging Vision 61 2019, 6, 824–848], such regularization methods have been investigated analytically and their efficiency has been tested for basic imaging tasks such as denoising and inpainting. In this paper we investigate solving complex vector tomography problems with non-local variational methods both analytically and numerically. |
| Related Links | https://www.degruyter.com/downloadpdf/journals/jiip/ahead-of-print/article-10.1515-jiip-2019-0084/article-10.1515-jiip-2019-0084.pdf |
| Ending Page | 875 |
| Page Count | 19 |
| Starting Page | 857 |
| ISSN | 09280219 |
| e-ISSN | 15693945 |
| DOI | 10.1515/jiip-2019-0084 |
| Journal | Journal of Inverse and Ill-Posed Problems |
| Issue Number | 6 |
| Volume Number | 28 |
| Language | English |
| Publisher | Walter de Gruyter GmbH |
| Publisher Date | 2020-09-01 |
| Access Restriction | Open |
| Subject Keyword | Journal of Inverse and Ill-posed Problems Applied Mathematics Mathematical Physics Regularization Vector-valued Data Non-convex Metric Double Integral Fractional Sobolev Space Tomography 47a52 65j20 Journal: Journal of Inverse and Ill-Posed Problems, Vol- 28 |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics |