• Laser & Optoelectronics Progress
  • Vol. 57, Issue 20, 201104 (2020)
Dong Zhou1, Jie Cao1、*, Yahui Jiang1, Yongchao Feng2, and Qun Hao1
Author Affiliations
  • 1Key Laboratory of Robotics and Systems, Ministry of Education, School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China
  • 2China Electronics Technology Instruments Co., Ltd, Qingdao, Shandong 266555, China
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    DOI: 10.3788/LOP57.201104 Cite this Article Set citation alerts
    Dong Zhou, Jie Cao, Yahui Jiang, Yongchao Feng, Qun Hao. Speckle Design Method Based on Principal Component Analysis[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201104 Copy Citation Text show less
    Decomposition of gray image
    Fig. 1. Decomposition of gray image
    Binary image split by grayscale image
    Fig. 2. Binary image split by grayscale image
    Sample database. (a) STL-10 dataset; (b) ImageNet dataset
    Fig. 3. Sample database. (a) STL-10 dataset; (b) ImageNet dataset
    Speckle obtained by PCA training
    Fig. 4. Speckle obtained by PCA training
    System of correlation imaging
    Fig. 5. System of correlation imaging
    Imaging target. (a) Pentagram; (b) Cameraman
    Fig. 6. Imaging target. (a) Pentagram; (b) Cameraman
    Imaging results of different matrices on the actual scene. (a) PCA (pentagram); (b) Walsh-Hadamard (pentagram); (c) PCA (Cameraman); (d) Walsh-Hadamard (Cameraman)
    Fig. 7. Imaging results of different matrices on the actual scene. (a) PCA (pentagram); (b) Walsh-Hadamard (pentagram); (c) PCA (Cameraman); (d) Walsh-Hadamard (Cameraman)
    PSNR and SSIM of the reconstruction image. (a) Pentagram; (b) Cameraman
    Fig. 8. PSNR and SSIM of the reconstruction image. (a) Pentagram; (b) Cameraman
    Dong Zhou, Jie Cao, Yahui Jiang, Yongchao Feng, Qun Hao. Speckle Design Method Based on Principal Component Analysis[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201104
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