Progress and Prospect for Ghost Imaging of Moving Objects

被引:6
|
作者
Liu Weitao [1 ,2 ]
Sun Shuai [1 ,2 ]
Hu Hongkong [1 ,2 ]
Lin Huizu [1 ,2 ]
机构
[1] Natl Univ Def Technol, Coll Liberal Arts & Sci, Dept Phys, Changsha 410073, Hunan, Peoples R China
[2] Natl Univ Def Technol, Interdisciplinary Ctr Quantum Informat, Changsha 410073, Hunan, Peoples R China
关键词
imaging systems; ghost imaging; motion blur; quality of imaging; tracking and imaging; PERFORMANCE ANALYSIS; TRACKING; PHOTOGRAPHY; FIELD; LIDAR;
D O I
10.3788/LOP202158.1011001
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Ghost imaging is a novel active imaging technique in which the information of the object is obtained based on high-order correlation of light fields. It has the characteristics of high sensitivity and anti-interference, and has broad application prospects in biomedicine, remote sensing imaging, and other fields. Ghost imaging requires multiple samplings to reconstruct the object image, and the imaging process takes a certain time, during which the relative motion between the object and the imaging system will lead to the degradation of image quality. How to improve the performance of imaging for moving objects is one of the key problems to be solved in the application of correlation imaging. In this paper, the basic concepts of ghost imaging are briefly reviewed; the principle of method, development, and current status of ghost imaging for moving objects are introduced. The applicable scenarios of the proposed technique are compared and the development trend is forecasted
引用
收藏
页数:14
相关论文
共 106 条
  • [41] Lensless ghost imaging for moving objects
    Li, Hu
    Xiong, Jin
    Zeng, Guihua
    [J]. OPTICAL ENGINEERING, 2011, 50 (12)
  • [42] Coprime-frequencied sinusoidal modulation for improving the speed of computational ghost imaging with a spatial light modulator
    Li, Quan
    Duan, Zhentao
    Lin, Huizu
    Gao, Shaobo
    Sun, Shuai
    Liu, Weitao
    [J]. CHINESE OPTICS LETTERS, 2016, 14 (11)
  • [43] Single-frame wide-field nanoscopy based on ghost imaging via sparsity constraints
    Li, Wenwen
    Tong, Zhishen
    Xiao, Kang
    Liu, Zhentao
    Gao, Qi
    Sun, Jing
    Liu, Shupeng
    Han, Shensheng
    Wang, Zhongyang
    [J]. OPTICA, 2019, 6 (12) : 1515 - 1523
  • [44] Ghost imaging for an axially moving target with an unknown constant speed
    Li, Xiaohui
    Deng, Chenjin
    Chen, Mingliang
    Gong, Wenlin
    Han, Shensheng
    [J]. PHOTONICS RESEARCH, 2015, 3 (04): : 153 - 157
  • [45] Single-shot tomographic movies of evolving light-velocity objects
    Li, Zhengyan
    Zgadzaj, Rafal
    Wang, Xiaoming
    Chang, Yen-Yu
    Downer, Michael C.
    [J]. NATURE COMMUNICATIONS, 2014, 5
  • [46] Photon-limited single-pixel imaging
    Liu, Xialin
    Shi, Jianhong
    Sun, Lei
    Li, Yonghao
    Fan, Jianping
    Zeng, Guihua
    [J]. OPTICS EXPRESS, 2020, 28 (06) : 8132 - 8144
  • [47] Fast first-photon ghost imaging
    Liu, Xialin
    Shi, Jianhong
    Wu, Xiaoyan
    Zeng, Guihua
    [J]. SCIENTIFIC REPORTS, 2018, 8
  • [48] Lensless ghost imaging with sunlight
    Liu, Xue-Feng
    Chen, Xi-Hao
    Yao, Xu-Ri
    Yu, Wen-Kai
    Zhai, Guang-Jie
    Wu, Ling-An
    [J]. OPTICS LETTERS, 2014, 39 (08) : 2314 - 2317
  • [49] Deep-learning-based ghost imaging
    Lyu, Meng
    Wang, Wei
    Wang, Hao
    Wang, Haichao
    Li, Guowei
    Chen, Ni
    Situ, Guohai
    [J]. SCIENTIFIC REPORTS, 2017, 7
  • [50] Multi-scale ghost imaging LiDAR via sparsity constraints using push-broom scanning
    Ma, Shuang
    Hu, Chenyu
    Wang, Chenglong
    Liu, Zhentao
    Han, Shensheng
    [J]. OPTICS COMMUNICATIONS, 2019, 448 : 89 - 92