Acta Photonica Sinica, Volume. 49, Issue 6, 0610003(2020)

Fusion Ghost Imaging Method Based on Frequency Domain Decomposition

Guo-qing YAN... Feng-bao YANG*, Xiao-xia WANG, Yong TAO and Xiang-yan LI |Show fewer author(s)
Author Affiliations
  • College of Information and Communication Engineering, North University of China, Taiyuan 030051, China
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    Figures & Tables(9)
    Schematic diagram of computational ghost imaging
    Random speckle pattern
    Average spectrum distribution of random speckle pattern
    Curve of the average value of threshold value under different measurement times
    Schematic diagram of speckle pattern decomposition
    Schematic diagram of fusion algorithm
    Comparison of reconstructed results for CGI, DGI and this paper
    Curve of average PSNR and contrast of four images under different measurement times
    • Table 1. Comparison of evaluation indexes of different reconstruction methods

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      Table 1. Comparison of evaluation indexes of different reconstruction methods

      ImageEvaluation indexMethod
      CGIDGIThis paper
      “Zhi1”PSNR7.719 38.259 19.789 4
      V0.165 90.193 40.449 3
      “Zhi2”PSNR7.908 78.423 29.572 0
      V0.189 80.216 60.460 1
      “Yu”PSNR7.756 17.898 312.556 0
      V0.208 30.224 10.568 7
      “Xing”PSNR7.675 08.405 69.434 7
      V0.194 10.227 90.464 5
      “Cameraman”PSNR9.731 010.701 511.356 2
      V0.082 90.111 20.239 5
      “Cell”PSNR8.584 510.891 017.215 9
      V0.072 20.108 60.236 2
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    Guo-qing YAN, Feng-bao YANG, Xiao-xia WANG, Yong TAO, Xiang-yan LI. Fusion Ghost Imaging Method Based on Frequency Domain Decomposition[J]. Acta Photonica Sinica, 2020, 49(6): 0610003

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    Paper Information

    Category: Image Processing

    Received: Jan. 6, 2020

    Accepted: Mar. 2, 2020

    Published Online: Nov. 26, 2020

    The Author Email: YANG Feng-bao (yfengb@163.com)

    DOI:10.3788/gzxb20204906.0610003

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