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Imaging through diffusers with extended depth-of-field using a deep neural network

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Abstract

We propose a deep learning framework for imaging through a thin glass diffuser that is robust to defocus. We further elucidate the generalizability of the network by analyzing the learned latent representation.

© 2020 The Author(s)

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