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Bending-Independent Imaging through Glass-Air Disordered Fiber Based on Deep Learning

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Abstract

We demonstrate a bending-independent imaging system for the first time by combining deep neural networks (DNNs) and a meter-long silica-air disordered optical fiber. High-quality artifact-free images can be reconstructed from the transported raw images.

© 2018 The Author(s)

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