• Infrared and Laser Engineering
  • Vol. 48, Issue 8, 825002 (2019)
Wu Ling1, Wu Conghai2, Chen Niannian1, and Fan Yong1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/irla201948.0825002 Cite this Article
    Wu Ling, Wu Conghai, Chen Niannian, Fan Yong. Least square surface reconstruction method with compact finite difference scheme from measured gradient field[J]. Infrared and Laser Engineering, 2019, 48(8): 825002 Copy Citation Text show less
    References

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    [2] Ma Chenhao, Fu Yuegang, He Wenjun, et al. Hartmann-Shack sensor with dual-wedge micro-scanning in wavefront detection technology[J]. Infrared and Laser Engineering, 2015, 44(9): 2813-2818. (in Chinese)

    [3] He Xu, Yuan Li. Wavefront reconstruction based on discrete sampling of sub-aperture slope[J]. Optics and Precision Engineering, 2016, 24(1): 20-29. (in Chinese)

    [4] Nie Er, Hu Xinqi, Dong Bing, et al. Study of phase retrieval algorithm based on hybrid unwrapping under mosaic pupil of regular hexagons[J]. Optical Technique, 2018, 44(9): 519-524. (in Chinese)

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    [8] Li G, Li Y, Liu K, et al. Improving wavefront reconstruction accuracy by using integration equations with higher-order truncation errors in the Southwell geometry[J]. Journal of the Optical Society of America A Optics Image Science & Vision, 2013, 30(7): 1448-1459.

    [9] Huang L, Xue J, Gao B, et al. Spline based least squares integration for two-dimensional shape or wavefront reconstruction[J]. Optics & Lasers in Engineering, 2017, 91(4): 221-226.

    [10] Vogel C R, Yang Q. Multigrid algorithm for least-squares wavefront reconstruction[J]. Appl Opt, 2006, 45(4): 705-715.

    [11] Harker M, O′Leary P. Regularized reconstruction of a surface from its measured gradient field[J]. Journal of Mathematical Imaging & Vision, 2015, 51(1): 1-25.

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    Wu Ling, Wu Conghai, Chen Niannian, Fan Yong. Least square surface reconstruction method with compact finite difference scheme from measured gradient field[J]. Infrared and Laser Engineering, 2019, 48(8): 825002
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