Name
Abstract | ||
|---|---|---|
Modified subgradient method has been employed to solve super-resolution restoration problem. The technique uses augmented Lagrangians for nonconvex minimization problems with equality constraints. The subgradient of the constructed dual function is used for a measure. Initial results on comparative studies have shown that the technique is very promising. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11848035_94 | MRCS |
Keywords | Field | DocType |
augmented lagrangians,iterative super-resolution reconstruction,comparative study,initial result,super-resolution restoration problem,dual function,modified subgradient method,nonconvex minimization problem,equality constraint,subgradient method,super resolution,image reconstruction,augmented lagrangian | Iterative reconstruction,Mathematical optimization,Lagrangian,Subgradient method,Iterative method,Computer science,Minimisation (psychology),Minification,Superresolution | Conference |
Volume | ISSN | ISBN |
4105 | 0302-9743 | 3-540-39392-7 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kemal Özkan | 1 | 11 | 4.28 |
| Erol Seke | 2 | 2 | 4.43 |
| Nihat Adar | 3 | 1 | 2.04 |
| Selçuk Canbek | 4 | 1 | 1.03 |