| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9514642 | Electronic Notes in Discrete Mathematics | 2005 | 18 Pages |
Abstract
A convex programming approach to binary tomographic image reconstruction in noisy environments is proposed. Conventional constraints are mixed with new constraints on the sinogram. A convex objective is then minimized over the resulting feasibility set via a parallel block-iterative method. The new constraints involve noise-based confidence regions and a binarity-promoting total variation constraint.
Related Topics
Physical Sciences and Engineering
Mathematics
Discrete Mathematics and Combinatorics
Authors
Thomas D. Capricelli, Patrick L. Combettes,