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：2

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

共 35 条

[1] Two-photon coincidence imaging with a classical source [J].

Bennink, RS ;

Bentley, SJ ;

Boyd, RW .

PHYSICAL REVIEW LETTERS, 2002, 89 (11)

[2] Incoherent coincidence imaging and its applicability in x-ray diffraction [J].

Cheng, J ;

Han, SS .

PHYSICAL REVIEW LETTERS, 2004, 92 (09) :093903-1

[3] Optical encryption based on computational ghost imaging [J].

Clemente, Pere ;

Duran, Vicente ;

Torres-Company, Victor ;

Tajahuerce, Enrique ;

Lancis, Jesus .

OPTICS LETTERS, 2010, 35 (14) :2391-2393

[4]

Cook R. L., 1981, Computer Graphics, V15, P307, DOI 10.1145/965161.806819

[5] Computational ghost imaging for remote sensing [J].

Erkmen, Baris I. .

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2012, 29 (05) :782-789

[6] Differential Ghost Imaging [J].

Ferri, F. ;

Magatti, D. ;

Lugiato, L. A. ;

Gatti, A. .

PHYSICAL REVIEW LETTERS, 2010, 104 (25)

[7] Imaging quality improvement of ghost imaging in scattering medium based on Hadamard modulated light field [J].

Gao, Zhujun ;

Yin, Jianhua ;

Bai, Yanfeng ;

Fu, Xiquan .

APPLIED OPTICS, 2020, 59 (27) :8472-8477

[8]

GEADAH YA, 1977, IEEE T COMPUT, V26, P435, DOI 10.1109/TC.1977.1674860

[9] Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique [J].

Gong, Wenlin ;

Yu, Hong ;

Zhao, Chengqiang ;

Bo, Zunwang ;

Chen, Mingliang ;

Xu, Wendong .

REMOTE SENSING, 2016, 8 (12)

[10] Correlated imaging for a reflective target with a smooth or rough surface [J].

Gong, Wenlin .

JOURNAL OF OPTICS, 2016, 18 (08)

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