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Compressive Non-line-of-sight Imaging using a Convolutional Neural Network

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Abstract

We demonstrate compressive non-line-of-sight imaging with downsampling ratio of 6.25% by using a convolutional neural network (CNN). Photon arrival-time histogram with 10 picosecond resolution enables high-quality image reconstruction with CNN trained purely by using simulated dataset.

© 2022 The Author(s)

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