Phase retrieval for imaging problems
Optimization and Control
2014-04-09 v2
Abstract
We study convex relaxation algorithms for phase retrieval on imaging problems. We show that structural assumptions on the signal and the observations, such as sparsity, smoothness or positivity, can be exploited to both speed-up convergence and improve recovery performance. We detail experimental results in molecular imaging problems simulated from PDB data.
Cite
@article{arxiv.1304.7735,
title = {Phase retrieval for imaging problems},
author = {Fajwel Fogel and Irène Waldspurger and Alexandre d'Aspremont},
journal= {arXiv preprint arXiv:1304.7735},
year = {2014}
}
Comments
Significantly expanded experiments