Ghost imaging for an occluded object

被引:9
作者
Gao, Chao [1 ]
Wang, Xiaoqian [1 ]
Gou, Lidan [1 ]
Feng, Yuling [1 ]
Cai, Hongji [1 ]
Wang, Zhifeng [1 ]
Yao, Zhihai [1 ]
机构
[1] Changchun Univ Sci & Technol, Dept Phys, Changchun 130022, Jilin, Peoples R China
基金
中国国家自然科学基金;
关键词
computational ghost imaging; hidden target; diffraction;
D O I
10.1088/1612-202X/ab0c8d
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Imaging for an occluded object is usually a significant problem. In this letter, we introduce an imaging scheme based on computational ghost imaging, which can obtain the image of a target object behind an obstacle. According to our theory, the distance between the object and the obstacle and the wavelength of the light source will affect the quality of the reconstructed image. In addition, if the bucket detector is placed far away from the obstacle, a tiny point-like detector without collecting lens can be applied to realize the imaging. The theoretical results above have been verified with our numerical simulations.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] An optical image encryption based on computational ghost imaging with sparse reconstruction
    Sui, Liansheng
    Pang, Zhi
    Cheng, Ying
    Cheng, Yin
    Xiao, Zhaolin
    Tian, Ailing
    Qian, Kemao
    Anand, Asundi
    [J]. OPTICS AND LASERS IN ENGINEERING, 2021, 143 (143)
  • [22] Random-matrix bases, ghost imaging, and x-ray phase contrast computational ghost imaging
    Ceddia, David
    Paganin, David M.
    [J]. PHYSICAL REVIEW A, 2018, 97 (06)
  • [23] On the Characteristics of Photoacoustic Imaging Based on the Algorithm of Computational Ghost Imaging
    Zhang, L. H.
    Tang, B.
    Wang, F-Q.
    Sun, L-J.
    Ma, X-H.
    [J]. LASERS IN ENGINEERING, 2013, 25 (1-2) : 1 - 11
  • [24] Improving the signal-to-noise ratio of computational ghost imaging of a reflective object with a rough surface by Hadamard modulated light field
    Lu, Mingshu
    Zou, Xuanpengfan
    Zhou, Liyu
    Nan, Suqin
    Jiang, Teng
    Huang, Xianwei
    Tan, W.
    Bai, Yanfeng
    Fu, Xiquan
    [J]. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2022, 39 (02) : 233 - 238
  • [25] Optical encryption with selective computational ghost imaging
    Zafari, Mohammad
    Kheradmand, Reza
    Ahmadi-Kandjani, Sohrab
    [J]. JOURNAL OF OPTICS, 2014, 16 (10)
  • [26] Attention-enhanced computational ghost imaging
    Yifan Chen
    Tong Tian
    Xin Lu
    Chen Li
    Ruolan Zhu
    Zhe Sun
    Xuelong Li
    [J]. Science China Information Sciences, 2025, 68 (6)
  • [27] Computational ghost imaging using deep learning
    Shimobaba, Tomoyoshi
    Endo, Yutaka
    Nishitsuji, Takashi
    Takahashi, Takayuki
    Nagahama, Yuki
    Hasegawa, Satoki
    Sano, Marie
    Hirayama, Ryuji
    Kakue, Takashi
    Shiraki, Atsushi
    Ito, Tomoyoshi
    [J]. OPTICS COMMUNICATIONS, 2018, 413 : 147 - 151
  • [28] Ghost Imaging Denoising Based on Mean Filtering
    Zheng Jiahui
    Yu Xiaodi
    Zhao Shengmei
    Wang Le
    [J]. ACTA OPTICA SINICA, 2022, 42 (22)
  • [29] Studying fermionic ghost imaging with independent photons
    Liu, Jianbin
    Zhou, Yu
    Zheng, Huaibin
    Chen, Hui
    Li, Fu-Li
    Xu, Zhuo
    [J]. OPTICS EXPRESS, 2016, 24 (25): : 29227 - 29237
  • [30] Computational ghost imaging with deep compressed sensing*
    Zhang, Hao
    Xia, Yunjie
    Duan, Deyang
    [J]. CHINESE PHYSICS B, 2021, 30 (12)