Name
Abstract | ||
|---|---|---|
The total variation-based image denoising model of Rudin, Osher, and Fatemi [Phys. D, 60, (1992), pp. 259-268] has been generalized and modified in many ways in the literature; one of these modi. cations is to use the L-1-norm as the fidelity term. We study the interesting consequences of this modi. cation, especially from the point of view of geometric properties of its solutions. It turns out to have interesting new implications for data-driven scale selection and multiscale image decomposition. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1137/040604297 | SIAM JOURNAL ON APPLIED MATHEMATICS |
Keywords | DocType | Volume |
total variation,denoising,scale space | Journal | 65 |
Issue | ISSN | Citations |
5 | 0036-1399 | 86 |
PageRank | References | Authors |
6.24 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tony F. Chan | 1 | 8733 | 659.77 |
| Selim Esedoglu | 2 | 1000 | 49.59 |