Information hiding cameras: optical concealment of object information into ordinary images
Bijie Bai, Ryan Lee, Yuhang Li, Tianyi Gan, Yuntian Wang, Mona, Jarrahi, and Aydogan Ozcan

TL;DR
This paper presents an innovative optical information hiding camera system that conceals and accurately decodes secret images using a diffractive optical processor and neural networks, enhancing security and robustness in various conditions.
Contribution
It introduces a jointly-optimized optical and electronic system for covert image hiding and decoding, including multi-spectral operation and experimental validation with THz radiation.
Findings
Effective concealment of images in ordinary-looking patterns.
Robust decoding under different lighting and noise conditions.
Successful multi-spectral and THz radiation demonstrations.
Abstract
Data protection methods like cryptography, despite being effective, inadvertently signal the presence of secret communication, thereby drawing undue attention. Here, we introduce an optical information hiding camera integrated with an electronic decoder, optimized jointly through deep learning. This information hiding-decoding system employs a diffractive optical processor as its front-end, which transforms and hides input images in the form of ordinary-looking patterns that deceive/mislead human observers. This information hiding transformation is valid for infinitely many combinations of secret messages, all of which are transformed into ordinary-looking output patterns, achieved all-optically through passive light-matter interactions within the optical processor. By processing these ordinary-looking output images, a jointly-trained electronic decoder neural network accurately…
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Taxonomy
TopicsRandom lasers and scattering media · Neural Networks and Reservoir Computing · Advanced Optical Imaging Technologies
