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    Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 24 >Page 2401002 > Article
    • Laser & Optoelectronics Progress
    • Vol. 58, Issue 24, 2401002 (2021)
    Water Surface Sun Glint Suppression Method Based on Polarization Filtering and Polynomial Fitting
    Meimei Yang1, Peiyao Zhao2, Bin Feng3, and Feng Zhao1、*
    Author Affiliations
  • 1School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi 710121, China
  • 2School of Telecommunications Engineering, Xidian University, Xi'an, Shaanxi 710126, China
  • 3School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China
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    DOI: 10.3788/LOP202158.2401002 Cite this Article Set citation alerts
    Meimei Yang, Peiyao Zhao, Bin Feng, Feng Zhao. Water Surface Sun Glint Suppression Method Based on Polarization Filtering and Polynomial Fitting[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2401002 Copy Citation Text show less
    Reflectivity of sunlight from the air to the smooth water surface
    Fig. 1. Reflectivity of sunlight from the air to the smooth water surface
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    Polarization degree of glint varying with the incident angle of sunlight
    Fig. 2. Polarization degree of glint varying with the incident angle of sunlight
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    Model for water surface sun glint suppression utilizing polarization filtering and polynomial fitting
    Fig. 3. Model for water surface sun glint suppression utilizing polarization filtering and polynomial fitting
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    Flow chart of two-dimensional surface fitting to suppress the sun glint on the water surface
    Fig. 4. Flow chart of two-dimensional surface fitting to suppress the sun glint on the water surface
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    Flow chart of line-by-line polynomial fitting to remove the sun glint
    Fig. 5. Flow chart of line-by-line polynomial fitting to remove the sun glint
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    Experimental results of the first group. (a) Gray image without polarization filtering; (b) gray image with polarization filtering; (c) image obtained by polynomial row direction curve fitting; (d) image obtained by polynomial column direction curve fitting; (e) image obtained by polynomial surface fitting; (f) image of line-by-line polynomial fitting to remove glint
    Fig. 6. Experimental results of the first group. (a) Gray image without polarization filtering; (b) gray image with polarization filtering; (c) image obtained by polynomial row direction curve fitting; (d) image obtained by polynomial column direction curve fitting; (e) image obtained by polynomial surface fitting; (f) image of line-by-line polynomial fitting to remove glint
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    Histograms of experimental results of the first group. (a) Image histogram without polarization filtering; (b) image histogram with polarization filtering; (c) image histogram of polynomial row direction curve fitting image; (d) image histogram of polynomial column direction curve fitting; (e) image histogram of polynomial surface fitting; (f) image histogram of line-by-line polynomial fitting
    Fig. 7. Histograms of experimental results of the first group. (a) Image histogram without polarization filtering; (b) image histogram with polarization filtering; (c) image histogram of polynomial row direction curve fitting image; (d) image histogram of polynomial column direction curve fitting; (e) image histogram of polynomial surface fitting; (f) image histogram of line-by-line polynomial fitting
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    Experimental results of the second group. (a) Gray image without polarization filtering; (b) gray image with polarization filtering; (c) image obtained by polynomial row direction curve fitting; (d) image obtained by polynomial column direction curve fitting; (e) image obtained by polynomial surface fitting; (f) image of line-by-line polynomial fitting to remove glint
    Fig. 8. Experimental results of the second group. (a) Gray image without polarization filtering; (b) gray image with polarization filtering; (c) image obtained by polynomial row direction curve fitting; (d) image obtained by polynomial column direction curve fitting; (e) image obtained by polynomial surface fitting; (f) image of line-by-line polynomial fitting to remove glint
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    Histograms of experimental results of the second group. (a) Image histogram without polarization filtering; (b) image histogram with polarization filtering; (c) image histogram of polynomial row direction curve fitting image; (d) image histogram of polynomial column direction curve fitting; (e) image histogram of polynomial surface fitting; (f) image histogram of line-by-line polynomial fitting
    Fig. 9. Histograms of experimental results of the second group. (a) Image histogram without polarization filtering; (b) image histogram with polarization filtering; (c) image histogram of polynomial row direction curve fitting image; (d) image histogram of polynomial column direction curve fitting; (e) image histogram of polynomial surface fitting; (f) image histogram of line-by-line polynomial fitting
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    ImageMean grayStandard deviationNumber of saturated pixels
    Fig. 7(a)137.455639.272627537
    Fig. 7(b)119.717325.39337037
    Fig. 7(c)115.909116.13040
    Fig. 7(d)115.712115.55160
    Fig. 7(e)115.626815.54400
    Fig. 7(f)114.313215.36910
    Table 1. Image quality evaluation indexes of the first group of experiments
    ImageMean grayStandard deviationNumber of saturated pixels
    Fig. 9(a)141.453738.712357140
    Fig. 9(b)110.526828.876211289
    Fig. 9(c)108.202024.15760
    Fig. 9(d)103.412719.89260
    Fig. 9(e)98.174717.12000
    Fig. 9(f)96.223016.75010
    Table 2. Image quality evaluation indexes of the second group of experiments
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    Meimei Yang, Peiyao Zhao, Bin Feng, Feng Zhao. Water Surface Sun Glint Suppression Method Based on Polarization Filtering and Polynomial Fitting[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2401002
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