Jiao Shuming, Zhuang Zhaoyong, Zou Wenbin
Opt Express. 2017 Jan 9;25(1):112-123. doi: 10.1364/OE.25.000112.
The amount of heavy computation in Computer Generated Hologram (CGH) can be significantly reduced by pre-computing look-up tables. However, the huge memory usage of look-up tables is a major challenge. To address this problem, the Look-up tables can be efficiently compressed by methods such as radial symmetric interpolation. In this paper, we notice that there is still data redundancy in the look-up table of radial symmetric interpolation method and the table size can be further compressed to 5%-10% or even less of original, by our proposed mini look-up table approach based on Principal Component Analysis (PCA). The compressed look-up table in our scheme only occupies a memory size of around 200-300 KB or even less. Moreover, the proposed scheme will introduce almost no extra cost of computation speed slowdown and reconstructed image quality degradation, compared to conventional method.
通过预计算查找表，可以显著减少计算机生成全息图（CGH）中的大量繁重计算。然而，查找表的巨大内存使用是一个主要挑战。为了解决这个问题，可以通过径向对称插值等方法有效地压缩查找表。在本文中，我们注意到径向对称插值方法的查找表中仍然存在数据冗余，并且通过我们提出的基于主成分分析（PCA）的迷你查找表方法，表大小可以进一步压缩到原始大小的5%-10%甚至更小。我们方案中的压缩查找表仅占用大约200-300KB甚至更小的内存大小。此外，与传统方法相比，所提出的方案几乎不会带来计算速度减慢和重建图像质量下降的额外成本。
