Diffractive imagers see through random unknown diffusers

Yuhang Li; Yi Luo; Bijie Bai; Aydogan Ozcan

doi:10.1117/12.2648009

17 March 2023 Diffractive imagers see through random unknown diffusers

Yuhang Li, Yi Luo, Bijie Bai, Aydogan Ozcan

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.

Conference Presentation

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available