论文标题
通过GPU实现压缩的GERCHBERG-SAXTON算法，实时计算机生成三维点云全息图
Real time computer generation of three-dimensional point cloud holograms through GPU implementation of compressed sensing Gerchberg-Saxton algorithm
论文作者
论文摘要
仅相位空间调制器可以用来在复杂的三维聚焦模式中构造激光光，并具有多种应用。虽然空间光调节器具有典型的Hz的刷新频率，但三维全息图的计算时间范围在几秒钟至几分钟之间，因此限制了空间光调节剂的最大刷新速率的使用，以便于以高质量的Holograms或低质量的Holograms的高质量预定序列的序列来实现更新。在这里，我们建议在消费者图形处理器上实施最近开发的压缩感应Gerchberg-Saxton算法，从而使高质量全息图以视频速率生成。
Phase-only spatial light modulators can be employed to structure laser light in complex three dimensional focusing patterns, with a variety of applications. While spatial light modulators have typical refresh frequencies of tens of Hz, the computation time of three dimensional holograms ranges between a few seconds and a few minutes, therefore limiting the use of the maximum refresh rate of spatial light modulators to either pre-calculated sequences of high quality holograms, or low quality holograms only for real time update. Here, we propose the implementation of a recently developed compressed sensing Gerchberg-Saxton algorithm on a consumer graphical processor allowing the generation of high quality holograms at video rate.
