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17 March 2023 Data class-specific imaging with all-optical erasure of undesired objects using diffractive computing
Bijie Bai, Yi Luo, Tianyi Gan, Jingtian Hu, Yuhang Li, Yifan Zhao, Deniz Mengu, Mona Jarrahi, Aydogan Ozcan
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Proceedings Volume PC12438, AI and Optical Data Sciences IV; PC124380U (2023) https://doi.org/10.1117/12.2648024
Event: SPIE OPTO, 2023, San Francisco, California, United States
Abstract
We present a diffractive camera that performs class-specific imaging of target objects, while all-optically and instantaneously erasing the objects from other classes during light propagation through thin diffractive layers, maximizing privacy preservation. We experimentally validated this class-specific camera design by 3D-printing the resulting diffractive layers (optimized through deep learning) and selectively imaging MNIST handwritten digits using the assembled camera system under terahertz radiation. The presented object class-specific camera is passive and does not require external computing power, providing a data-efficient solution to task-specific and privacy-aware modern imaging applications.
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Bijie Bai, Yi Luo, Tianyi Gan, Jingtian Hu, Yuhang Li, Yifan Zhao, Deniz Mengu, Mona Jarrahi, and Aydogan Ozcan "Data class-specific imaging with all-optical erasure of undesired objects using diffractive computing", Proc. SPIE PC12438, AI and Optical Data Sciences IV, PC124380U (17 March 2023); https://doi.org/10.1117/12.2648024
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KEYWORDS
Cameras
Imaging systems
Detection and tracking algorithms
Digital cameras
Digital imaging
Geometrical optics
Machine vision
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