Efficient generation of holographic movies with frame interpolation using a coherent neural network

[摘要] References(9)Cited-By(4)Computer-generated hologram (CGH) is recently expanding its application fields. However, the calculation cost is very high, in particular, in the generation of CGH streams for three-dimensional movies. This paper proposes a small-calculation-cost method to generate CGH streams based on a coherent neural network (CNN) that deals with complex-amplitude information with generalization ability in the carrier-frequency domain. After carrier-frequency-dependent learning, we can generate a CGH stream, by sweeping a virtual carrier frequency in the CNN, with neural interpolation thanks to the frequency-domain generalization. Experiments demonstrate a successful stream generation with 1/6 the conventional calculation time.

[学科分类] 电子、光学、磁材料

[关键词] coherent neural network (CNN);computer generated hologram (CGH);optical tweezers;generalization;spatial light modulator (SLM)