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arXiv · 1702.05092

Phase-Retrieval as a Regularization Problem

Eduardo X. Miqueles·Nathaly L. Archilha·Marcelo R. Dos Anjos·Harry Westfahl Jr.·Elias S. Helou
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Abstract

It was recently shown that the phase retrieval imaging of a sample can be modeled as a simple convolution process. Sometimes, such a convolution depends on physical parameters of the sample which are difficult to estimate a priori. In this case, a blind choice for those parameters usually lead to wrong results, e.g., in posterior image segmentation processing. In this manuscript, we propose a simple connection between phase-retrieval algorithms and optimization strategies, which lead us to ways of numerically determining the physical parameters

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Eduardo X. Miqueles, Nathaly L. Archilha, Marcelo R. Dos Anjos, Harry Westfahl Jr., Elias S. Helou. 2017-02-16. Phase-Retrieval as a Regularization Problem. https://arxiv.org/abs/1702.05092

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