@inproceedings{d2125cedaacf43bb9fc313735cd85587,
title = "Phase retrieval from overexposed PSF: A projection-based approach",
abstract = "We investigate the general adjustment of projection-based phase retrieval algorithms for use with saturated data. In the phase retrieval problem, model fidelity of experimental data containing a non-zero background level, fixed pattern noise, or overexposure, often presents a serious obstacle for standard algorithms. Recently, it was shown that overexposure can help to increase the signal-to-noise ratio in AI applications. We present our first results in exploring this direction in the phase retrieval problem, using as an example the Gerchberg-Saxton algorithm with simulated data. The proposed method can find application in microscopy, characterisation of precise optical instruments, and machine vision applications of Industry4.0. ",
keywords = "overexposure, Phase retrieval, projection-based methods",
author = "Oleg Soloviev and Jacques Noom and Nguyen, {Hieu Thao} and Gleb Vdovin and Michel Verhaegen",
year = "2022",
doi = "10.1117/12.2609697",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Yang Liu and Gabriel Popescu and YongKeun Park",
booktitle = "Quantitative Phase Imaging VIII",
address = "United States",
note = "Quantitative Phase Imaging VIII 2022 ; Conference date: 20-02-2022 Through 24-02-2022",
}