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Digital hologram rendering can be performed by a convolutional neuralnetwork, trained with image pairs calculated by numerical wave propagation fromsparse generating images. 512-by-512 pixeldigital Gabor magnitude holograms aresuccessfully estimated from experimental interferograms by a standard UNettrained with 50,000 synthetic image pairs over 70 epochs.

Experimental digital Gabor hologram rendering by a model-trained convolutional neural network