Improving the signal-to-noise ratio of computational ghost imaging of a reflective object with a rough surface by Hadamard modulated light field

被引：1

作者：

Lu, Mingshu ^{[1
]}

Zou, Xuanpengfan ^{[1
]}

Zhou, Liyu ^{[1
]}

Nan, Suqin ^{[2
]}

Jiang, Teng ^{[1
]}

Huang, Xianwei ^{[1
]}

Tan, W. ^{[1
]}

Bai, Yanfeng ^{[1
]}

Fu, Xiquan ^{[1
]}

机构：

[1] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China

[2] Hunan Univ Technol & Business, Sch Comp Sci, Changsha 410205, Peoples R China

来源：

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION | 2022年 / 39卷 / 02期

基金：

中国国家自然科学基金;

关键词：

DIFFRACTION;

D O I：

10.1364/JOSAA.442571

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We propose an optimization scheme to improve the reconstruction quality of computational ghost imaging (GI) of a reflective target with a rough surface by using the Hadamard modulation light field (HCGI). By comparison with computational GI with a traditional Gaussian light field (GCGI), the signal-to-noise ratio of GCGI is quite bad, and it is difficult to distinguish the imaging signal from the background when the surface roughness of the object is higher, while a ghost image with better quality can be obtained by HCGI. The difference is explained by comparing the distribution of the correlation coefficient. Additionally, it is found that HCGI has better noise robustness in comparison with GI with other random coded patterns. (c) 2022 Optical Society of America

引用

页码：233 / 238

页数：6

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