Fast deep-trained transformation technique for computer-generated holograms

Abstract

We present a numerical transformation technique for Computer-Generated Holograms (CGHs) using the deep learning method. Using the proposed technique, one can obtain CGHs for a user-defined holographic display system from given CGHs. The calculation speed of the proposed technique is about 20 times faster than that of the conventional free-space propagation algorithm. We verify through both numerical simulation and optical experiment that focal stacks produced with the CGHs obtained by the proposed technique are similar to those produced with the target CGHs.