English

Uniqueness transition in noisy phase retrieval

Data Analysis, Statistics and Probability 2015-05-20 v1 Information Theory math.IT Optics

Abstract

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.

Keywords

Cite

@article{arxiv.1009.4693,
  title  = {Uniqueness transition in noisy phase retrieval},
  author = {Veit Elser and Stefan Eisebitt},
  journal= {arXiv preprint arXiv:1009.4693},
  year   = {2015}
}

Comments

19 pages, 8 figures

R2 v1 2026-06-21T16:18:19.082Z