Deep hologram converter from low-precision to middle-precision holograms

Abstract

We propose a deep hologram converter based on deep learning to convert low-precision holograms into middle -precision holograms. The low-precision holograms were calculated using a shorter bit width. It can increase the amount of data packing for single instruction/multiple data in the software approach and the number of calcula-tion circuits in the hardware approach. One small and one large deep neural network (DNN) are investigated. The large DNN exhibited better image quality, whereas the smaller DNN exhibited a faster inference time. Although the study demonstrated the effectiveness of point-cloud hologram calculations, this scheme could be extended to various other hologram calculation algorithms. (c) 2023 Optica Publishing Group