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17 March 2023 Diffractive imagers see through random unknown diffusers
Yuhang Li, Yi Luo, Bijie Bai, Aydogan Ozcan
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Proceedings Volume PC12438, AI and Optical Data Sciences IV; PC124380S (2023) https://doi.org/10.1117/12.2648009
Event: SPIE OPTO, 2023, San Francisco, California, United States
Abstract
We report a computer-free imaging framework in which a set of transmissive diffractive layers were trained using deep learning to all-optically reconstruct arbitrary objects hidden by unknown, random phase diffusers. The image reconstruction of the object hidden behind a random and unknown phase diffuser is completed at the speed of light propagation through a thin, engineered diffractive volume. Our analyses provide a comprehensive guide for designing robust and generalizable diffractive imagers to all-optically see through random diffusers, which might be transformative for various fields, such as biomedical imaging, atmospheric physics, and autonomous driving.
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Yuhang Li, Yi Luo, Bijie Bai, and Aydogan Ozcan "Diffractive imagers see through random unknown diffusers", Proc. SPIE PC12438, AI and Optical Data Sciences IV, PC124380S (17 March 2023); https://doi.org/10.1117/12.2648009
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KEYWORDS
Diffusers
Imaging systems
Image restoration
Atmospheric propagation engineering
Biological research
Biomedical optics
Computational imaging
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