Phase Retrieval for Imaging Problems.

TITLE: Phase Retrieval for Imaging Problems.

AUTHORS: Fajwel Fogel, Irène Waldspurger, Alexandre d'Aspremont

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.

STATUS: Preprint.

SOURCE CODE: Download the code to reproduce the numerical experiments.

ArXiv PREPRINT: 1304.7735

PAPER: Phase retrieval for imaging problems in pdf