一种用于减少高阶热鬼成像中噪声的改进算法。

An improved algorithm to reduce noise in high-order thermal ghost imaging.

作者信息

Chen Xi-Hao, Wu Shuang-Shuang, Wu Wei, Guo Wang-Yuan, Meng Shao-Ying, Sun Zhi-Bin, Zhai Guang-Jie, Li Ming-Fei, Wu Ling-An

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2014 Sep 1;31(9):2105-8. doi: 10.1364/JOSAA.31.002105.

DOI:10.1364/JOSAA.31.002105

PMID:25401452

Abstract

A modified Nth-order correlation function is derived that can effectively remove the noise background encountered in high-order thermal light ghost imaging (GI). Based on this, the quality of the reconstructed images in an Nth-order lensless GI setup has been greatly enhanced compared to former high-order schemes for the same sampling number. In addition, the dependence of the visibility and signal-to-noise ratio for different high-order images on the sampling number has been measured and compared.

摘要

推导了一种改进的N阶相关函数，它可以有效去除高阶热光鬼成像（GI）中遇到的噪声背景。基于此，与相同采样数的先前高阶方案相比，N阶无透镜GI设置中重建图像的质量得到了极大提高。此外，还测量并比较了不同高阶图像的可见度和信噪比与采样数的关系。