Holographic Three-Dimensional Movie Generation with Frame Interpolation Using Coherent Neural Networks

Computer-generated hologram (CGH) is expanding the application fields. However, the CGH generation requires a long calculation time. In particular, the generation of a CGH stream for three-dimensional movies takes a huge amount of calculation cost. This paper proposes a small-calculation-cost method to generate a CGH stream based on coherent neural networks that deal with complex-amplitude information with generalization ability in the frequency domain. After carrier-frequency-dependent learning, we can generate a CGH stream by sweeping the carrier frequency with neural interpolation thanks to frequency-domain generalization.