全息术
光学
斑点图案
计算全息
计算机科学
反问题
散斑成像
散斑噪声
过程(计算)
相位恢复
人工智能
物理
傅里叶变换
数学
操作系统
数学分析
量子力学
作者
Ryoichi Horisaki,Ryosuke Takagi,Jun Tanida
出处
期刊:Applied Optics
[Optica Publishing Group]
日期:2018-05-07
卷期号:57 (14): 3859-3859
被引量:169
摘要
We present a method for computer-generated holography based on deep learning. The inverse process of light propagation is regressed with a number of computationally generated speckle data sets. This method enables noniterative calculation of computer-generated holograms (CGHs). The proposed method was experimentally verified with a phase-only CGH.
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