Name
Abstract | ||
|---|---|---|
This paper investigates the use of cascadic multiresolution methods for image deblurring. Iterations with a conjugate gradient-type method are carried out on each level, and terminated by a stopping rule based on the discrepancy principle. Prolongation is carried out by nonlinear edge-preserving operators, which are defined via PDEs associated with Perona-Malik or total variation-type models. Computed examples demonstrate the effectiveness of the methods proposed. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1137/070694065 | SIAM J. Imaging Sciences |
Keywords | Field | DocType |
cascadic multiresolution method,computed example,nonlinear edge-preserving operator,cascadic multiresolution methods,total variation-type model,image deblurring,conjugate gradient-type method,discrepancy principle | Mathematical optimization,Nonlinear system,Deblurring,Mathematical analysis,Operator (computer programming),Prolongation,Stopping rule,Mathematics | Journal |
Volume | Issue | ISSN |
1 | 1 | 1936-4954 |
Citations | PageRank | References |
10 | 0.60 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Serena Morigi | 1 | 142 | 20.57 |
| Lothar Reichel | 2 | 453 | 95.02 |
| Fiorella Sgallari | 3 | 217 | 22.22 |
| Andriy Shyshkov | 4 | 15 | 1.09 |