Uniqueness transition in noisy phase retrieval

Details Uniqueness transition in noisy phase retrieval Uniqueness transition in noisy phase retrieval

2010-09-23

arxiv.org/abs/1009.4693v1

Physics

Data Analysis, Statistics and Probability

19 pages, 8 figures

Scientific paper

Previous criteria for the feasibility of reconstructing phase information from intensity measurements, both in x-ray crystallography and more recently in coherent x-ray imaging, have been based on the Maxwell constraint counting principle. We propose a new criterion, based on Shannon's mutual information, that is better suited for noisy data or contrast that has strong priors not well modeled by continuous variables. A natural application is magnetic domain imaging, where the criterion for uniqueness in the reconstruction takes the form that the number of photons, per pixel of contrast in the image, exceeds a certain minimum. Detailed studies of a simple model show that the uniqueness transition is of the type exhibited by spin glasses.

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