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Resolution Enhancement of an Integral Imaging Microscopy Using Generative Adversarial Network

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Abstract

We propose a deep learning-based resolution enhancement method for integral imaging microscopy. The elemental images were captured through a microlens array which generates orthographic view images. Resolution enhancement was done by the generative adversarial network.

© 2020 The Author(s)

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