Laser & Optoelectronics Progress, Volume. 62, Issue 14, 1409001(2025)

Digital Holographic Focusing Using Gray-Level Co-Occurrence Matrix and Lanczos Interpolation

Zixin Gao1,2, Yongan Zhang1,2、*, Pei Liu1,2, Wenbin Bi1,2, Ruijin Fu1,2, and Yaping Zhang1,2
Author Affiliations
  • 1Faculty of Science, Kunming University of Science and Technology, Kunming 650500, Yunnan , China
  • 2Yunnan Provincial Key Laboratory of Modern Information Optics, Kunming University of Science and Technology, Kunming 650500, Yunnan , China
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    Figures & Tables(14)
    Recording optical path of off-axis digital holography
    Calculation method of gray-level co-occurrence matrix for reconstructed images
    Reconstructed images and their contrast of normalized gray-level co-occurrence matrix obtained by Lanczos interpolation algorithm under different parameters selection. (a)‒(d) Reconstructed images obtained at different scaling ratios when a takes 2; (e)‒(h) reconstructed images obtained at different scaling ratios when a takes 3; (i) contrast of normalized gray-level co-occurrence matrix at different scaling ratios when a takes 2; (j) contrast of normalized gray-level co-occurrence matrix at different scaling ratios when a takes 3
    Numerically simulated hologram and the angular spectrum reconstructed images. (a) Numerically simulated off-axis hologram; (b) reconstructed image obtained by angular spectrum propagation without interpolation; (c) reconstructed image obtained by angular spectrum propagation after interpolation
    Normalized focusing curves of the numerically simulated hologram of the resolution plate
    Normalized autofocusing curves of resolution plate obtained by different methods
    Hologram and reconstructed image of resolution plate captured in the experiment. (a) Off-axis digital hologram of resolution plate; (b) reconstructed image at reconstruction distance of 70.4 mm
    Experimental autofocusing results of gastric wall section cells. (a) Off-axis digital hologram of gastric wall section cells; (b) normalized autofocusing curves; (c) clear reconstructed image at a focusing distance of 17 mm; (d) reconstructed phase
    Experimental autofocusing results of phase pattern gastric wall section cells. (a) Off-axis digital hologram of phase pattern gastric wall section cells; (b) normalized autofocusing curve; (c) clear reconstructed image at a focusing distance of 19 mm; (d) reconstructed phase
    • Table 1. Time consuming of focusing algorithm at different parameters selection

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      Table 1. Time consuming of focusing algorithm at different parameters selection

      aTime consuming /s
      p=1p=0.5p=0.1p=0.05
      267.301647.160538.190638.0030
      367.407047.190938.728838.7325
    • Table 2. Comparison of focusing performance of different focusing methods on the numerically simulated hologram of the resolution plate

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      Table 2. Comparison of focusing performance of different focusing methods on the numerically simulated hologram of the resolution plate

      MethodRSVTime consuming /s
      DIF8.78560.01520.006479.7517
      TOG1.14700.01480.037436.9019
      GRA1.26780.39140.058340.0532
      GOG1.17170.02030.038736.7217
      GLCM+Lanczos96.70172.11130.0466

      67.3753 (without interpolation)

      37.2158 (after interpolation)

    • Table 3. Comparisons of focusing performance of different focusing methods on the holograms of resolution plate recorded in the experiment

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      Table 3. Comparisons of focusing performance of different focusing methods on the holograms of resolution plate recorded in the experiment

      MethodRSVTime consuming /s
      DIF1.06760.00480.0064163.7339
      TOG1.08190.00190.020177.8658
      GRA1.03260.01130.005581.6226
      GOG1.14400.00330.034573.5084
      GLCM+Lanczos54.03570.08190.2367

      134.3357 (without interpolation)

      75.5574 (after interpolation)

    • Table 4. Comparisons of the focusing performance of different focusing methods on the holograms of gastric wall section cells recorded in the experiment

      View table

      Table 4. Comparisons of the focusing performance of different focusing methods on the holograms of gastric wall section cells recorded in the experiment

      MethodRSVTime consuming /s
      DIF1.172090.3391
      TOG1.01970.00430.004943.0428
      GRA1.03490.00860.001445.8793
      GOG1.03490.00330.009742.8186
      GLCM+Lanczos82.25710.19120.0186

      73.6745 (without interpolation)

      44.4098 (after interpolation)

    • Table 5. Comparisons of the focusing performance of different focusing methods on the holograms of phase pattern gastric wall section cells recorded in the experiment

      View table

      Table 5. Comparisons of the focusing performance of different focusing methods on the holograms of phase pattern gastric wall section cells recorded in the experiment

      MethodRSVTime consuming /s
      DIF1.07860.09810.020669.4009
      TOG1.02510.01570.007633.0046
      GRA1.05550.03880.015335.6473
      GOG1.05580.01940.015133.0046
      GLCM+Lanczos135.28130.22410.0125

      59.6190 (without interpolation)

      34.0101 (after interpolation)

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    Zixin Gao, Yongan Zhang, Pei Liu, Wenbin Bi, Ruijin Fu, Yaping Zhang. Digital Holographic Focusing Using Gray-Level Co-Occurrence Matrix and Lanczos Interpolation[J]. Laser & Optoelectronics Progress, 2025, 62(14): 1409001

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    Paper Information

    Category: Holography

    Received: Jan. 9, 2025

    Accepted: Feb. 5, 2025

    Published Online: Jul. 3, 2025

    The Author Email: Yongan Zhang (1295720542@qq.com)

    DOI:10.3788/LOP250485

    CSTR:32186.14.LOP250485

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