Conference paper
A convex programming approach to anisotropic smoothing
We develop a computationally efficient algorithm for the problem of anisotropic smoothing in images, i.e., smoothing an image along its directional fields. Whereas similar problems are often posed and solved as PDE problems in the literature, we formulate the problem as a convex programming problem.
We present efficient implementations of interior-point algorithms for solving large instances of this problem.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2007 |
| Pages: | 104-104 |
| Proceedings: | 2007 IEEE International Conference on Image Processing |
| ISBN: | 1424414369 , 1424414377 , 1509086749 , 9781424414369 , 9781424414376 and 9781509086740 |
| ISSN: | 23818549 and 15224880 |
| Types: | Conference paper |
| DOI: | 10.1109/ICIP.2007.4379102 |
| ORCIDs: | Hansen, Per Christian |
Anisotropic magnetoresistance Image processing Informatics Large-scale systems Mathematical model Mathematical programming Optimization methods Quadratic programming Smoothing methods Tensile stress convex programming convex quadratically constrained quadratic programming problem discrete anisotropic image smoothing image processing interior-point algorithm quadratic programming smoothing methods
