Abstract

We demonstrate digital hologram rendering by a convolutional neural network, trained with image pairs generated by wave propagation from random data. Experimental Gabor magnitude holograms are reconstructed by a U-Net trained with 50,000 image pairs.

© 2019 The Author(s)

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