Transferring optical information through random unknown diffusers using a diffractive decoder with electronic encoding

Yuhang Li; Tianyi Gan; Bijie Bai; Çagatay Isil; Mona Jarrahi; Aydogan Ozcan

doi:10.1117/12.3000653

13 March 2024 Transferring optical information through random unknown diffusers using a diffractive decoder with electronic encoding

Yuhang Li, Tianyi Gan, Bijie Bai, Çagatay Isil, Mona Jarrahi, Aydogan Ozcan

Author Affiliations +

Proceedings Volume PC12903, AI and Optical Data Sciences V; PC129030X (2024) https://doi.org/10.1117/12.3000653
Event: SPIE OPTO, 2024, San Francisco, California, United States

Abstract

We report an optical diffractive decoder with an electronic encoder network to facilitate the accurate transmission of optical information of interest through unknown random phase diffusers along the optical path. This hybrid electronic-optical model was trained via supervised learning, and comprises a convolutional neural network-based encoder and jointly-trained passive diffractive layers. After their joint-training using deep learning, our hybrid model can accurately transfer optical information even in the presence of unknown phase diffusers, generalizing to new random diffusers never seen before. We experimentally validated this framework using a 3D-printed diffractive network, axially spanning <70λ, where λ=0.75mm is the illumination wavelength.

Conference Presentation

Citation Download Citation

Yuhang Li, Tianyi Gan, Bijie Bai, Çagatay Isil, Mona Jarrahi, and Aydogan Ozcan "Transferring optical information through random unknown diffusers using a diffractive decoder with electronic encoding", Proc. SPIE PC12903, AI and Optical Data Sciences V, PC129030X (13 March 2024); https://doi.org/10.1117/12.3000653

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