• Laser & Optoelectronics Progress
  • Vol. 59, Issue 19, 1933001 (2022)
Han Wang and Changjun Li*
Author Affiliations
  • School of Computer and Software Engineering, University of Science and Technology Liaoning, Anshan 114051, Liaoning, China
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    DOI: 10.3788/LOP202259.1933001 Cite this Article Set citation alerts
    Han Wang, Changjun Li. Spectral Reconstruction Algorithm Based on Multi-Light Source Wiener Estimation[J]. Laser & Optoelectronics Progress, 2022, 59(19): 1933001 Copy Citation Text show less
    Experimental sample (a) ColorChecker White Balance; (b) ColorChecker Digital 140; (c) Munsell sample
    Fig. 1. Experimental sample (a) ColorChecker White Balance; (b) ColorChecker Digital 140; (c) Munsell sample
    Light sources provided by SpectraLight QC
    Fig. 2. Light sources provided by SpectraLight QC
    Spectral sensitivity function of the digital camera. (a) Canon EOS 60D; (b) Nikon D610
    Fig. 3. Spectral sensitivity function of the digital camera. (a) Canon EOS 60D; (b) Nikon D610
    DWE algorithm reconstructs the sample corresponding to the maximum RMSE and maximum chromatic aberration. (a) Maximum RMSE; (b) maximum color difference
    Fig. 4. DWE algorithm reconstructs the sample corresponding to the maximum RMSE and maximum chromatic aberration. (a) Maximum RMSE; (b) maximum color difference
    Spectral reflectance corresponding to the minimum RPD of different algorithms. (a) WE; (b) Nonlin; (c) Wt-nonlin; (d) ALWL; (e) ZHANG; (f) DWE
    Fig. 5. Spectral reflectance corresponding to the minimum RPD of different algorithms. (a) WE; (b) Nonlin; (c) Wt-nonlin; (d) ALWL; (e) ZHANG; (f) DWE
    No.D65U30HZTL84CWFA
    1×××××
    2××××
    3×××
    4××
    5×
    6
    Table 1. Combinations of light sources
    No.Chromatic aberrationRMSE
    MeanMedianMaxMeanMedianMax
    13.09602.489814.86740.03740.03340.1252
    21.86431.66326.69340.03400.02930.1263
    31.58661.39886.11910.02900.02340.0892
    41.83811.605013.80840.02890.02260.0875
    51.84001.586813.65950.02670.02200.0822
    62.78662.480415.57740.03090.02620.0852
    Table 2. Reflectance reconstruction results for Canon camera
    No.Chromatic aberrationRMSE
    MeanMedianMaxMeanMedianMax
    13.36013.074913.19250.03620.03190.1387
    21.82471.47379.34100.03280.02820.1274
    31.40111.24744.80990.02410.02100.1106
    41.85621.65056.42030.03140.02910.1111
    51.67591.50615.55610.02820.02550.1064
    61.57561.35735.36280.02770.02490.1099
    Table 3. Reflectance reconstruction results for Nikon camera
    AlgorithmChromatic aberrationRMSE
    MeanMedianMaxMeanMedianMax
    WE3.10(6)2.49(6)14.87(6)0.037(6)0.033(6)0.125(6)
    Nonlin1.99(5)1.78(5)6.19(3)0.038(5)0.035(5)0.110(5)
    Wt-nonlin1.84(3)1.71(2)7.21(4)0.031(3)0.031(3)0.082(1)
    ALWL1.88(4)1.73(4)12.70(5)0.029(1)0.026(2)0.084(2)
    ZHANG1.79(2)1.72(3)5.78(1)0.034(4)0.032(4)0.085(3)
    DWE1.59(1)1.40(1)6.12(2)0.029(1)0.023(1)0.089(4)
    Table 4. Spectral reflectance reconstruction results of different algorithms based on Canon cameras
    AlgorithmChromatic aberrationRMSE
    MeanMedianMaxMeanMedianMax
    WE3.36(6)3.07(6)13.19(5)0.036(5)0.032(6)0.139(6)
    Nonlin2.09(5)1.73(5)8.12(3)0.036(5)0.031(5)0.113(5)
    Wt-nonlin1.85(4)1.59(3)8.82(4)0.029(3)0.028(3)0.091(3)
    ALWL1.73(2)1.47(2)13.33(6)0.026(2)0.023(2)0.073(1)
    ZHANG1.77(3)1.61(4)5.94(2)0.032(4)0.029(4)0.085(2)
    DWE1.40(1)1.25(1)4.81(1)0.024(1)0.021(1)0.111(4)
    Table 5. Spectral reflectance reconstruction results of different methods based on Nikon cameras
    AlgorithmCanonNikon
    MeanMedianMinMeanMedianMin
    WE2.39572.12950.03922.56042.20190.0426
    Nonlin2.64442.1380.00972.83822.28990.0097
    Wt-nonlin3.32762.18320.02633.61242.43140.0268
    ALWL3.56932.53220.03213.8642.80860.0325
    ZHANG2.87412.13680.01663.06792.37530.0147
    DWE3.59682.75970.0414.02492.99890.0410
    Table 6. RPD of different algorithms
    Han Wang, Changjun Li. Spectral Reconstruction Algorithm Based on Multi-Light Source Wiener Estimation[J]. Laser & Optoelectronics Progress, 2022, 59(19): 1933001
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