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Laser & Optoelectronics Progress, Volume. 56, Issue 1, 011001(2019)

Processing Method of Moiré Fringe Images Based on Super-Resolution Technology

Mojing Li1,2, Zhiqian Wang1、*, Wenchang Yang1,2, and Shaojin Liu1
Author Affiliations
  • 1 Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin 130033, China
  • 2 University of Chinese Academy of Sciences, Beijing 100049, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (12)
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    References (23)
    Cited By (1)
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    Figures & Tables(12)
    Model of super-resolution algorithm based on self-similarity

    Fig. 1. Model of super-resolution algorithm based on self-similarity

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    Schematic of searching area Q for block matching

    Fig. 2. Schematic of searching area Q for block matching

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    Flow chart of super-resolution algorithm

    Fig. 3. Flow chart of super-resolution algorithm

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    Flow chart of debocking algorithm

    Fig. 4. Flow chart of debocking algorithm

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    Original and preprocessed images of moiré fringe 1

    Fig. 5. Original and preprocessed images of moiré fringe 1

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    Original and preprocessed images of moiré fringe 2

    Fig. 6. Original and preprocessed images of moiré fringe 2

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    Subjective effect comparison of reconstructed moiré fringe 1. (a) POCS algorithm; (b) Freedman algorithm; (c) super-resolution algorithm; (d) integral algorithm

    Fig. 7. Subjective effect comparison of reconstructed moiré fringe 1. (a) POCS algorithm; (b) Freedman algorithm; (c) super-resolution algorithm; (d) integral algorithm

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    Enlarged detail comparison of moiré fringe 1. (a) POCS algorithm; (b) Freedman algorithm; (c) super-resolution algorithm; (d) integral algorithm

    Fig. 8. Enlarged detail comparison of moiré fringe 1. (a) POCS algorithm; (b) Freedman algorithm; (c) super-resolution algorithm; (d) integral algorithm

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    Subjective effect comparison of reconstructed moiré fringe 2. (a) POCS algorithm; (b) Freedman algorithm; (c) super-resolution algorithm; (d) integral algorithm

    Fig. 9. Subjective effect comparison of reconstructed moiré fringe 2. (a) POCS algorithm; (b) Freedman algorithm; (c) super-resolution algorithm; (d) integral algorithm

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    Enlarged detail comparison of moiré fringe 2. (a) POCS algorithm; (b) Freedman algorithm; (c) super-resolution algorithm; (d) integral algorithm

    Fig. 10. Enlarged detail comparison of moiré fringe 2. (a) POCS algorithm; (b) Freedman algorithm; (c) super-resolution algorithm; (d) integral algorithm

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    • Table 1. Result comparison among different algorithms for moiré fringe 1

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      Table 1. Result comparison among different algorithms for moiré fringe 1

      AlgorithmBRISQUENIEDIIVINE
      POCS96.50221.41259.870
      Freedman94.21920.60337.903
      Super-resolution93.05122.14437.411
      Integral91.43020.69734.691

    • Table 2. Result comparison among different algorithms for moiré fringe 2

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      Table 2. Result comparison among different algorithms for moiré fringe 2

      AlgorithmBRISQUENIQEDIIVINE
      POCS96.02919.28575.261
      Freedman93.51320.81460.254
      Super-resolution92.65719.59556.622
      Integral92.52819.35856.269
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    Mojing Li, Zhiqian Wang, Wenchang Yang, Shaojin Liu. Processing Method of Moiré Fringe Images Based on Super-Resolution Technology[J]. Laser & Optoelectronics Progress, 2019, 56(1): 011001

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    Paper Information

    Category: Image Processing

    Received: May. 30, 2018

    Accepted: Jul. 18, 2018

    Published Online: Aug. 1, 2019

    The Author Email: Zhiqian Wang (wangzhiqian@ciomp.ac.cn)

    DOI:10.3788/LOP56.011001

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology