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20 December 2022 Deep-learning-based optical scanning cryptography
Aimin Yan, Xusheng Zhuang, Liu Lv, Heming Tian
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Proceedings Volume 12318, Holography, Diffractive Optics, and Applications XII; 1231809 (2022) https://doi.org/10.1117/12.2642076
Event: SPIE/COS Photonics Asia, 2022, Online Only
Abstract
Optical scanning cryptography (OSC) is an optical image encryption method encrypting information incoherently based on two-pupil heterodyne scanning optical system. But numerical reconstruction of a 3-D volumetric image from an optical scanned hologram is a difficult task. The main problems are the intensive computational load, and the heavy blurring of each reconstructed section with the defocused noise from other sections.In this talk, we propose a deep-learning based reconstruction algorithm in optical scanning holography, which can generate reconstruction images in high quality. DNNs are created based on the U-net structure to learn the mapping between holograms and reconstruction images. Simulation and experimental results showed that the deep-learning based method is able to reconstruct the optical scanning hologram in real time for the removal of defocus noise.
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Aimin Yan, Xusheng Zhuang, Liu Lv, and Heming Tian "Deep-learning-based optical scanning cryptography", Proc. SPIE 12318, Holography, Diffractive Optics, and Applications XII, 1231809 (20 December 2022); https://doi.org/10.1117/12.2642076
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KEYWORDS
3D image reconstruction
Optical scanning
Cryptography
Holograms
Digital holography
Holography
Image quality
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