• Optics and Precision Engineering
  • Vol. 30, Issue 23, 2975 (2022)
Chenggang HE1,2, Youqiang ZHU1, and Bin WANG1,*
Author Affiliations
  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun30033, China
  • 2University of Chinese Academy of Sciences, Beijing100049, China
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    DOI: 10.37188/OPE.20223023.2975 Cite this Article
    Chenggang HE, Youqiang ZHU, Bin WANG. Position misalignment correction method for macroscopic Fourier ptychography based on particle swarm optimization[J]. Optics and Precision Engineering, 2022, 30(23): 2975 Copy Citation Text show less
    Schematic diagram of Fourier ptychography module
    Fig. 1. Schematic diagram of Fourier ptychography module
    Recovery results using traditional FP with positional error and without positional error. (a1)-(a3) are the captured low-resolution image,the recovered high-resolution amplitude image ,and the recovered high-resolution phase distribution without positional misalignment; (b1)-(b3) are the captured low-resolution image,the recovered high-resolution amplitude image, and the recovered high-resolution phase distribution with positional misalignment; (c)the frequency apertures’ positions in the Fourier domain.
    Fig. 2. Recovery results using traditional FP with positional error and without positional error. (a1)-(a3) are the captured low-resolution image,the recovered high-resolution amplitude image ,and the recovered high-resolution phase distribution without positional misalignment; (b1)-(b3) are the captured low-resolution image,the recovered high-resolution amplitude image, and the recovered high-resolution phase distribution with positional misalignment; (c)the frequency apertures’ positions in the Fourier domain.
    Flow chart of CPSO
    Fig. 3. Flow chart of CPSO
    Simulation results of different correction methods.(a1) Ideal high-resolution amplitude image;(a2) Ideal high-resolution phase image;(b1)-(b3) Traditional FP method;(c1)-(c3)pcPIE method;(d1)-(d3) BF+SC method;(e1)-(e3) CPSO method
    Fig. 4. Simulation results of different correction methods.(a1) Ideal high-resolution amplitude image;(a2) Ideal high-resolution phase image;(b1)-(b3) Traditional FP method;(c1)-(c3)pcPIE method;(d1)-(d3) BF+SC method;(e1)-(e3) CPSO method
    Recover apertures’ positions of different methods in same misalignment condition
    Fig. 5. Recover apertures’ positions of different methods in same misalignment condition
    Simulation results for resolution chart
    Fig. 6. Simulation results for resolution chart
    Recover apertures’ positions of different methods in same misalignment condition
    Fig. 7. Recover apertures’ positions of different methods in same misalignment condition
    Reconstruction results of different algorithms using experiment data sets
    Fig. 8. Reconstruction results of different algorithms using experiment data sets
    Pixel distribution curve of red lines in reconstructed images
    Fig. 9. Pixel distribution curve of red lines in reconstructed images
    MethodTime/sAmplitude/PhasePSNR/dBSSIMΔp
    Traditional FP10.235 0Amplitude16.245 40.571 81 160
    Phase9.577 50.279 6
    pcPIE172.142 4Amplitude23.344 30.910 2167
    Phase21.297 70.840 9
    BF+SC165.681 4Amplitude23.608 30.906 7159
    Phase21.459 10.835 4
    CPSO122.370 4Amplitude24.367 00.929 669
    Phase23.583 50.841 1
    Table 1. Objective evaluation results of reconstructed amplitude and phase images with different methods
    MethodTime/sPSNR/dBSSIMΔp
    Traditional FP9.977 218.244 30.642 61 152
    pcPIE172.832 131.681 80.897 1316
    BF+SC161.557 932.898 70.912 3255
    CPSO128.914 640.637 60.977 3209
    Table 2. Objective evaluation results of reconstructed amplitude images with different methods
    MethodTime/s
    Traditional FP3
    pcPIE68
    BF+SC64
    CPSO57
    Table 3. Running time of different methods
    Chenggang HE, Youqiang ZHU, Bin WANG. Position misalignment correction method for macroscopic Fourier ptychography based on particle swarm optimization[J]. Optics and Precision Engineering, 2022, 30(23): 2975
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