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Enhanced multiple-plane phase retrieval using adaptive support

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Abstract

In the single-plane phase retrieval method, the use of a fixed object support is not efficient and could lead to inaccurate reconstructions. While there have been adaptive support strategies for the single-plane method, numerical processing is slow because such strategies are based in the space domain. Here, an adaptive support strategy based in the Fourier domain in conjunction with the multiple-plane phase retrieval method is presented and demonstrated through simulations and experiments. Optimizations of Fourier filter size and mask threshold parameters result in ${3} \times $ faster convergence compared to the conventional multiple-plane method for the test object waves used. The proposed strategy offers fast, automated determination of the object support and affords the use of fewer intensity patterns.

© 2019 Optical Society of America

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Supplementary Material (4)

NameDescription
Visualization 1       Evolution of the phase reconstructions using the two algorithms and the generated adaptive supports for increasing number of iterations.
Visualization 2       Evolution of the phase reconstructions from experiments using the two algorithms and the generated adaptive supports for increasing number of iterations.
Visualization 3       Highlights the importance of the filter radius optimization on the generation of the object support and, subsequently, on the quality of the reconstructed phase map.
Visualization 4       Highlights the importance of the optimization of the threshold constant on the generation of the adaptive support and reconstruction.

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