Concealment of object information into ordinary images using diffractive optical processors

Yuhang Li; Bijie Bai; Ryan Lee; Tianyi Gan; Yuntian Wang; Mona Jarrahi; Aydogan Ozcan

doi:10.1117/12.3028425

4 October 2024 Concealment of object information into ordinary images using diffractive optical processors

Yuhang Li, Bijie Bai, Ryan Lee, Tianyi Gan, Yuntian Wang, Mona Jarrahi, Aydogan Ozcan

Author Affiliations +

Proceedings Volume PC13118, Emerging Topics in Artificial Intelligence (ETAI) 2024; PC1311818 (2024) https://doi.org/10.1117/12.3028425
Event: Nanoscience + Engineering, 2024, San Diego, California, United States

Abstract

We introduce an information hiding-decoding system, which employs a passive diffractive processor as the front-end and an electronic decoder as the back-end, offering a fast, energy-efficient, and scalable solution for protecting visual information. This diffractive processor all-optically transforms arbitrary input messages into deceptive output patterns, decipherable only through a jointly-trained electronic decoder neural network. This method can successfully hide infinitely many input messages into ordinary-looking patterns at its output field-of-view, which can be subsequently decoded by an electronic network. We experimentally validated the feasibility of our information-hiding camera by 3D-printing a physical diffractive system and testing it under terahertz illumination.

Conference Presentation

Citation Download Citation

Yuhang Li, Bijie Bai, Ryan Lee, Tianyi Gan, Yuntian Wang, Mona Jarrahi, and Aydogan Ozcan "Concealment of object information into ordinary images using diffractive optical processors", Proc. SPIE PC13118, Emerging Topics in Artificial Intelligence (ETAI) 2024, PC1311818 (4 October 2024); https://doi.org/10.1117/12.3028425

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