SNR study on Fourier single-pixel imaging

被引：8

作者：

Li, Rui ^{[1
]}

Hong, Jiaying ^{[1
]}

Zhou, Xi ^{[1
]}

Wang, Chengming ^{[2
,3
]}

Chen, Zhengyu ^{[2
,3
]}

He, Bin ^{[2
,3
]}

Hu, Zhangwei ^{[2
,3
]}

Zhang, Ning ^{[4
]}

Li, Qin ^{[1
]}

Xue, Ping ^{[2
,3
]}

Zhang, Xiao ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Life Sci, Beijing 100081, Peoples R China

[2] Tsinghua Univ, Dept Phys, State Key Lab Low Dimens Quantum Phys, Beijing 100084, Peoples R China

[3] Collaborat Innovat Ctr Quantum Matter, Ctr Atom & Mol Nanosci, Beijing 100084, Peoples R China

[4] Natl Engn Lab Forens Sci, Minist Publ Secur, Inst Forens Sci, Beijing 100038, Peoples R China

来源：

NEW JOURNAL OF PHYSICS | 2021年 / 23卷 / 07期

基金：

中国国家自然科学基金;

关键词：

single-pixel imaging; Fourier transform; signal-to-noise ratio; MICROSCOPY;

D O I：

10.1088/1367-2630/ac0ed7

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

According to the properties of Fourier transform, Fourier single-pixel imaging uses the illumination lights with cosine distributions to obtain the Fourier spectrum of the object, and then apply the inverse Fourier transform to reconstruct the spatial information of the object. This technique does not require detector arrays, such as charge coupled device and has proven to be insensitive to distortion, which is a great improvement over traditional photography techniques. In this manuscript, we present a detailed analysis and discussion on the signal-to-noise ratio (SNR) of Fourier single-pixel imaging. Compared with conventional imaging whose SNR is independent of pixel number N, Fourier single-pixel imaging achieves an improved SNR which is up to N times as high as the dynamic range of detection. Furthermore, this SNR benefit is further confirmed experimentally, in cases of one dimension and two dimensions.

引用

页数：9

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