Computational ghost imaging based on negative film imaging

被引：2

作者：

Yang, Anrun ^{[1
]}

Zhang, Yuan ^{[1
]}

Ren, Lirong ^{[1
]}

Li, Fangqiong ^{[1
]}

Wu, Yuanyuan ^{[1
]}

Wu, Lei ^{[1
]}

Zhang, Dejian ^{[2
]}

Liu, Jiangtao ^{[1
]}

机构：

[1] Guizhou Minzu Univ, Sch Phys & Mechatron Engn, Guiyang 550025, Peoples R China

[2] Nanchang Univ, Dept Phys, Nanchang 330031, Peoples R China

来源：

OPTIK | 2023年 / 284卷

基金：

中国国家自然科学基金;

关键词：

Computational ghost imaging; Negative film imaging; Complementary colors; EDGE-DETECTION; SCATTERING;

D O I：

10.1016/j.ijleo.2023.170932

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The influence of negative or positive film imaging on ghost imaging quality is studied. The study found that when the object to be imaged is black and white, the imaging effect of the negative film is significantly better than that of the positive film, and the corresponding contrast to noise ratio can be increased by about 241%, or reduce the sampling times by 5 times under the same image quality. The main reason is that the absolute intensity and relative intensity fluctuation of the negative film imaging is greater. When the object to be imaged is in color, the use of a reverse color light source with the background color of the imaged object can achieve a similar negative imaging effect to improve the imaging quality, and the corresponding contrast to noise ratio can be increased by 52%-69%.

引用

页数：7

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