Phase retrieval for imaging problems
- We study convex relaxation algorithms for phase retrieval on imaging problems. We show that exploiting structural assumptions on the signal and the observations, such as sparsity, smoothness or positivity, can significantly speed-up convergence and improve recovery performance. We detail numerical results in molecular imaging experiments simulated using data from the Protein Data Bank.
| Author: | Fajwel Fogel, Irène Waldspurger, Alexandre d’Aspremont |
|---|---|
| DOI: | https://doi.org/10.1007/s12532-016-0103-0 |
| ISSN: | 1867-2949 |
| Parent Title (English): | Mathematical Programming Computation |
| Publisher: | Springer Science and Business Media LLC |
| Document Type: | Article |
| Language: | English |
| Year of Completion: | 2016 |
| Tag: | Software; Theoretical Computer Science |
| Volume: | 8 |
| Issue: | 3 |
| Page Number: | 25 |
| First Page: | 311 |
| Last Page: | 335 |
| Mathematical Programming Computation : | MPC 2016 - Issue 3 |

