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Perceptual Quality Assessment in Holographic Displays With a Semi-Supervised Neural Network

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Abstract

Image quality assessment metrics do not reliably represent human perception of computer-generated holograms, limiting the performance of holographic displays. We developed a neural network with semi-supervised training that accurately predicts how viewers perceive hologram quality.

© 2022 The Author(s)

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