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计算机科学
计算全息
全息术
计算
表(数据库)
二进制数
并行计算
计算科学
算法
计算机图形学(图像)
计算机硬件
算术
光学
数学
物理
数据挖掘
程序设计语言
作者
Xiang Li,Jung‐Ping Liu
摘要
Look-up table (LUT) is a widely used method for computing computer-generated holograms (CGHs) but usually demands a large memory space. For this reason, we propose a new LUT method to produce binary CGHs. We quantized the lookup table, which allowed us to use smaller data types for storage and computation. Simulation results show that this method reduces the memory space, and its speed is at least 3 times faster than the original LUT method without reducing the quality of the reconstructed image.
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