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Single Pixel Image Reconstruction Using Nonlinear Optics and Neural Networks

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Abstract

We demonstrate a hybrid opto-electronic system to efficiently classify and reconstruct two-dimensional images. It utilizes nonlinear frequency upconversion with single-pixel detection and a deep neural network. It could find applications in Lidar, compressive sensing, and soon.

© 2023 The Author(s)

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Poster Presentation

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