Adaptive radon single-pixel imaging method

被引：0
|
作者：
Wang W.-S. [1 ,2 ]
Wu H.-B. [1 ]
Wang L.-J. [1 ]
Liu M.-X. [1 ]
Zhao S.-N. [1 ]
Zhang X. [1 ]
机构：
[1] Key Laboratory of Optical System Advanced Manufacturing Technology, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun
[2] University of Chinese Academy of Sciences, Beijing
来源：
Guangxue Jingmi Gongcheng/Optics and Precision Engineering | 2021年 / 29卷 / 08期
关键词：
Radon transform; Sampling number; Single-pixel imaging; Target region;
D O I：
10.37188/OPE.20212908.1976
中图分类号：
学科分类号：
摘要：
Single-pixel imaging requires a large amount of sampling. In this study, an adaptive Radon single-pixel imaging method is proposed for the target region that only occupies a part of the scene. This method uses single-pixel detectors to position and image the target region. We used the target positioning method, coding sampling, and reconstruction algorithms to reduce the number of single-pixel imaging samples. Based on the fundamental principle of Radon transformation, the projection information of an image in horizontal and vertical directions was used to obtain the size and position of the target region in the scene. This method established the adaptive Radon-Hadamard single-pixel imaging model. Only single-pixel sampling was performed on the target region and filtered back-projection technology was used to reconstruct the target region. The results show that the proposed adaptive Radon single-pixel imaging method can achieve imaging of the target region in a scene. The number of samples was much lower than the resolution of the reconstructed image and the structural similarity index of the reconstructed image was greater than 95%, which effectively improved the imaging efficiency of single-pixel imaging method. © 2021, Science Press. All right reserved.
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页码：1976 / 1984
页数：8
相关论文
共 35 条
  • [1] HADFIELD R H., Single-photon detectors for optical quantum information applications, Nature Photonics, 3, 12, pp. 696-705, (2009)
  • [2] GODA K, TSIA K K, JALALI B., Serial time-encoded amplified imaging for real-time observation of fast dynamic phenomena, Nature, 458, 7242, pp. 1145-1149, (2009)
  • [3] RYCZKOWSKI P, BARBIER M, FRIBERG A T, Et al., Ghost imaging in the time domain, Nature Photonics, 10, 3, pp. 167-170, (2016)
  • [4] OTA S, HORISAKI R, KAWAMURA Y, Et al., Ghost cytometry, Science, 360, 6394, pp. 1246-1251, (2018)
  • [5] XU Z H, CHEN W, PENUELAS J, Et al., 1000 fps computational ghost imaging using LED-based structured illumination, Optics Express, 26, 3, pp. 2427-2434, (2018)
  • [6] PITTMAN T B, SHIH Y H, STREKALOV D V, Et al., Optical imaging by means of two-photon quantum entanglement, Physical Review A, 52, 5, pp. R3429-R3432, (1995)
  • [7] BENNINK R S, BENTLEY S J, BOYD R W., Two-Photon" coincidence imaging with a classical source, Physical Review Letters, 89, 11, (2002)
  • [8] SUN B, EDGAR M P, BOWMAN R, Et al., Differential computational ghost imaging, Imaging and Applied Optics, (2013)
  • [9] SUN B Q, WELSH S S, EDGAR M P, Et al., Normalized ghost imaging, Optics Express, 20, 15, pp. 16892-16901, (2012)
  • [10] WELSH S S, EDGAR M P, BOWMAN R, Et al., Fast full-color computational imaging with single-pixel detectors, Optics Express, 21, 20, pp. 23068-23074, (2013)
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