Dedicated processor for holography assisted by deep neural networks

We developed dedicated processors for holography named ‘HORN,” which accelerate hologram calculation by parallelizing many calculation units. If we reduce the calculation accuracy of the units, the circuit size of the units decreases, which in turn leads to an increase in the number of the units; however, owing to this the image quality degrades. In this study, we propose a dedicated processor with low accuracy units assisted by a deep neural network (DNN). After performing the hologram calculation in the processor, we restore a high accuracy hologram from the low accuracy one using the DNN.