Researching

Journals
  • Advanced Photonics
  • Photonics Insights
  • Advanced Photonics Nexus
  • Photonics Research
  • Advanced Imaging
  • View All Journals
  • Chinese Optics Letters
  • High Power Laser Science and Engineering
    • Articles
  • Optics
  • Physics
  • Geography
  • View All Subjects
    • Conferences
  • CIOP
  • HPLSE
  • AP
  • View All Events
    • News
    About CLP
    Search by keywords or author
    Journals >Acta Photonica Sinica >Volume 49 >Issue 6 >Page 0610002 > Article
    • Acta Photonica Sinica
    • Vol. 49, Issue 6, 0610002 (2020)
    Computational Ghost Imaging Method Based on Convolutional Neural Network
    Wei FENG1、2, Xiao-dong ZHAO1, Gui-ming WU1, Zhong-hui YE1, and Da-xing ZHAO1、*
    Author Affiliations
  • 1School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
  • 2Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Wuhan 430068, China
    • show less
    DOI: 10.3788/gzxb20204906.0610002 Cite this Article
    Wei FENG, Xiao-dong ZHAO, Gui-ming WU, Zhong-hui YE, Da-xing ZHAO. Computational Ghost Imaging Method Based on Convolutional Neural Network[J]. Acta Photonica Sinica, 2020, 49(6): 0610002 Copy Citation Text show less
    References

    [1] J H SHAPIRO. Computational ghost imaging. Physical Review A, 78, 061802(2008).

    [2] Y BROMBERG, O KATZ, Y SILBERBERG. Ghost imaging with a single detector. Physical Review A, 79, 053840(2009).

    [3] M LE, G WANG, H ZHENG. Underwater computational ghost imaging. Optics Express, 25, 22859-22868(2017).

    [4] H YU, R LU, S HAN. Fourier-transform ghost imaging with hard x rays. Physical Review Letters, 117, 113901(2016).

    [6] S YUAN, X LIU, X ZHOU. Multiple-object ghost imaging with a single-pixel detector. Journal of Optics, 45, 92-98(2016).

    [7] B SUN, M P EDGAR, R BOWMAN. 3d computational imaging with single-pixel detectors. Science, 340, 844-847(2013).

    [8] H JIANG, H ZHAI, Y XU. 3D shape measurement of translucent objects based on Fourier single-pixel imaging in projector-camera system. Optics Express, 27, 33564-33574(2019).

    [10] D L DONOHO. Compressed sensing. IEEE Transactions on Information Theory, 52, 1289-1306(2006).

    [11] E J CANDES, T TAO. Near-optimal signal recovery from random projections:universal encoding strategies?. IEEE Transactions on Information Theory, 52, 5406-5425(2006).

    [12] O KATE, Y BROMBERG, Y SILBERBERG. Compressive ghost imaging. Applied Physics Letters, 95, 131110(2009).

    [13] M ABMANN, M BAYER. Compressive adaptive computational ghost imaging. Scientific Reports, 3, 1545(2013).

    [14] W K YU, M F LI, X R YAO. Adaptive compressive ghost imaging based on wavelet trees and sparse representation. Optics Express, 22, 7133-7144(2014).

    [18] A SINHA, J LEE, S LI. Lensless computational imaging through deep learning. Optica, 4, 1117-1125(2017).

    [19] M LYU, W WANG, H WANG. Deep-learning-based ghost imaging. Scientific Reports, 7, 17865(2017).

    [20] T SHIMOBABA, Y ENDO, T NISHITSUJI. Computational ghost imaging using deep learning. Optics Communications, 413, 147-151(2018).

    [21] Y HE, G WANG, G DONG. Ghost imaging based on deep learning. Scientific Reports, 8, 6469(2018).

    [22] F WANG, H WANG, H WANG. Learning from simulation:An end-to-end deep-learning approach for computational ghost imaging. Optics Express, 27, 25560-25572(2019).

    [23] M CHEN, E LI, S HAN. Application of multi-correlation-scale measurement matrices in ghost imaging via sparsity constraints. Applied Optics, 53, 2924-2928(2014).

    [24] M KHAMOUSHIS, Y NOSRATI, S H TAVASSOLI. Sinusoidal ghost imaging. Optics Letters, 40, 3452-3455(2015).

    [26] K ZHANG, W ZUO, Y CHEN. Beyond a gaussian denoiser:residual learning of deep CNN for image denoising. IEEE transaction on image processing, 26, 3142-3155(2017).

    [27] L DENG. The MNIST database of handwritten digit images for machine learning research. IEEE Signal Processing Magazine, 29, 141-142(2012).

    Abstract
    Get PDF(in Chinese)
    Figures&Tables (9)
    Equations (2)
    References (21)
    Get Citation
    Copy Citation Text
    Wei FENG, Xiao-dong ZHAO, Gui-ming WU, Zhong-hui YE, Da-xing ZHAO. Computational Ghost Imaging Method Based on Convolutional Neural Network[J]. Acta Photonica Sinica, 2020, 49(6): 0610002
    Download Citation
    Tools
    Share
    Save the article for my favorites
    Paper Information
    Recommended Topics
    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology