Phase retrieval for imaging problems

Understand

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.