Name
Abstract | ||
|---|---|---|
This special issue highlights some recent developments in the field of mathematical image processing. The emphasis of the issue is on the interplay between advanced mathematical methods (such as non-smooth convex optimization, variational methods, partial differential equations, scale-space approaches) and their application in image processing or computer vision. The special issue comprises nine papers representing state-of-the-art research on these topics as outlined below. Non-smooth and possibly non-convex optimization as well as automatic parameter estimation have become major trends of research in the community. In this context, P. Ochs, R. Ranftl, T. Brox and T. Pock propose a new approach for bilevel optimization. In “Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems” (doi:10.1007/s10851-016-0663-7), they show how solving non-smooth optimization problems while computingoptimal regularization parameters by considering suitable nonlinear proximal distance functions. In “Convex ImageDenoising viaNon-convexRegularization withParameter Selection” (doi:10.1007/s10851-016-0655-7), A. Lanza, S. Morigi, and F. Sgallari introduce a novel |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s10851-016-0679-z | Journal of Mathematical Imaging and Vision |
Field | DocType | Volume |
Mathematical optimization,Nonlinear system,Bilevel optimization,Image processing,Scale space,Regularization (mathematics),Convex optimization,Partial differential equation,Optimization problem,Mathematics | Journal | 56 |
Issue | Citations | PageRank |
2 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean-François Aujol | 1 | 1176 | 82.39 |
| Mila Nikolova | 2 | 1792 | 105.71 |
| Nicolas Papadakis | 3 | 241 | 23.33 |