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10 October 2020 Image-free single-pixel sensing
Hao Fu, Liheng Bian, Jinli Suo, Jun Zhang
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Proceedings Volume 11550, Optoelectronic Imaging and Multimedia Technology VII; 1155004 (2020) https://doi.org/10.1117/12.2574902
Event: SPIE/COS Photonics Asia, 2020, Online Only
Abstract
The conventional high-level sensing techniques require high-fidelity images to extract visual features, which consume high software complexity or high hardware complexity. We present the single-pixel sensing (SPS) technique that performs high-level sensing directly from a small amount of coupled single-pixel measurements, without the conventional image acquisition and reconstruction process. The technique consists of three steps, including binarized light modulation, single-pixel coupled detection, and end-to-end deep-learning based decoding. The binarized modulation patterns are optimized with the decoding network by a two-step training strategy, leading to the least required measurements and optimal sensing accuracy. The effectiveness of SPS is experimentally demonstrated on the classification task of handwritten MNIST dataset, and 96% classification accuracy at ∼1kHz is achieved. The reported SPS technique is a novel framework for efficient machine intelligence, with low hardware and software complexity. Further, it maintains strong encryption.
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Hao Fu, Liheng Bian, Jinli Suo, and Jun Zhang "Image-free single-pixel sensing", Proc. SPIE 11550, Optoelectronic Imaging and Multimedia Technology VII, 1155004 (10 October 2020); https://doi.org/10.1117/12.2574902
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KEYWORDS
Modulation
Surface plasmons
Image processing
Computer simulations
Image acquisition
Neural networks
Reconstruction algorithms
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