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.

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Metadaten
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
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