Extended scene deep learning wavefront sensing

Journal article (2022)

Authors

Gleb Vdovin Team Mulders - Mechanical, Maritime and Materials Engineering , Flexible Optical B.V.
O.A. Soloviev Flexible Optical B.V., Team Michel Verhaegen - Mechanical, Maritime and Materials Engineering
Research Group
Team Mulders (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2022 Bas de Bruijne, Gleb Vdovin, O.A. Soloviev
DOI: https://doi.org/10.1364/JOSAA.443436
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Published Date

2022

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Mulders

Abstract

We have applied a combination of blind deconvolution and deep learning to the processing of Shack-Hartmann images.By using the intensity information contained in spot positions, and the fine structure of the separate images created by the lenslets,we have increased the sensitivity and resolution of the sensor over the limit defined by standard processing of spot displacements only.We also have demonstrated the applicability of the method to wavefront sensing using extended objects as a reference.

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