Iterative filtered ghost imaging

被引：3

作者：

Meng, Shao-Ying ^{[1
]}

Chen, Mei-Yi ^{[1
]}

Ji, Jie ^{[1
]}

Shi, Wei-Wei ^{[1
]}

Fu, Qiang ^{[1
]}

Bao, Qian-Qian ^{[1
]}

Chen, Xi-Hao ^{[1
]}

Wu, Ling-An ^{[2
]}

机构：

[1] Liaoning Univ, Sch Phys, Key Lab Optoelect Devices & Detect Technol, Shenyang 110036, Peoples R China

[2] Chinese Acad Sci, Inst Phys, Beijing 100190, Peoples R China

来源：

CHINESE PHYSICS B | 2022年 / 31卷 / 02期

基金：

中国国家自然科学基金;

关键词：

ghost imaging; bandpass filtering; compressed sensing; iteration; SUPERRESOLUTION; RESOLUTION;

D O I：

10.1088/1674-1056/ac29a9

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

It is generally believed that, in ghost imaging, there has to be a compromise between resolution and visibility. Here we propose and demonstrate an iterative filtered ghost imaging scheme whereby a super-resolution image of a grayscale object is achieved, while at the same time the signal-to-noise ratio (SNR) and visibility are greatly improved, without adding complexity. The dependence of the SNR, visibility, and resolution on the number of iterations is also investigated and discussed. Moreover, with the use of compressed sensing the sampling number can be reduced to less than 1% of the Nyquist limit, while maintaining image quality with a resolution that can exceed the Rayleigh diffraction bound by more than a factor of 10.

引用

页数：6

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