Phase retrieval of a point spread function

Nicholas Chimitt; Ali Almuallem; Stanley H. Chan

doi:10.1117/12.3028192

4 October 2024 Phase retrieval of a point spread function

Nicholas Chimitt, Ali Almuallem, Stanley H. Chan

Proceedings Volume 13149, Unconventional Imaging, Sensing, and Adaptive Optics 2024; 131491H (2024) https://doi.org/10.1117/12.3028192
Event: Optical Engineering + Applications, 2024, San Diego, California, United States

Abstract

The estimation of a phase aberration by observing a point spread function (PSF), known as wavefront estimation, is a critical problem in adaptive optics. Analogous to phase retrieval, wavefront estimation suffers from multiple ambiguous solutions. Many prior works require multiple structured measurements to overcome this fundamental challenge. In this paper, we use an asymmetric pupil to make what would otherwise be an impossible inverse problem to be possible. We combine this with an efficient machine learning algorithm to overcome remaining non-convexity. We empirically observe asymmetric pupils tend to outperform symmetric pupils.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Nicholas Chimitt, Ali Almuallem, and Stanley H. Chan "Phase retrieval of a point spread function", Proc. SPIE 13149, Unconventional Imaging, Sensing, and Adaptive Optics 2024, 131491H (4 October 2024); https://doi.org/10.1117/12.3028192

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