Name
Abstract | ||
|---|---|---|
We introduce an algorithm to solve linear inverse problems regularized with the total (gradient) variation in a gridless manner. Contrary to most existing methods, that produce an approximate solution which is piecewise constant on a fixed mesh, our approach exploits the structure of the solutions and consists in iteratively constructing a linear combination of indicator functions of simple polygons. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-75549-2_44 | SSVM |
DocType | ISSN | Citations |
Conference | Eighth International Conference on Scale Space and Variational
Methods in Computer Vision (SSVM), May 2021, Cabourg, France | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yohann de Castro | 1 | 28 | 6.39 |
| Vincent Duval | 2 | 19 | 4.58 |
| Romain Petit | 3 | 0 | 0.34 |