• Acta Optica Sinica
  • Vol. 42, Issue 7, 0733001 (2022)
Yang Lu and Haisong Xu*
Author Affiliations
  • State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China
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    DOI: 10.3788/AOS202242.0733001 Cite this Article Set citation alerts
    Yang Lu, Haisong Xu. Illumination Spectrum Estimation Method Based on Single Multispectral Image[J]. Acta Optica Sinica, 2022, 42(7): 0733001 Copy Citation Text show less
    Flow chart of illumination spectrum estimation method for multispectral images
    Fig. 1. Flow chart of illumination spectrum estimation method for multispectral images
    8-channel spectral sensitivity function of multispectral imaging system
    Fig. 2. 8-channel spectral sensitivity function of multispectral imaging system
    Color images of partial scenes in CAVE database
    Fig. 3. Color images of partial scenes in CAVE database
    8-channel multispectral images of oil painting
    Fig. 4. 8-channel multispectral images of oil painting
    Spectral estimation results of two challenging illuminants. (a) Illuminant 1; (b) illuminant 2
    Fig. 5. Spectral estimation results of two challenging illuminants. (a) Illuminant 1; (b) illuminant 2
    Spectral estimation results of three typical illuminants. (a) Illuminant A; (b) illuminant D65; (c) illuminant LED
    Fig. 6. Spectral estimation results of three typical illuminants. (a) Illuminant A; (b) illuminant D65; (c) illuminant LED
    Ink painting used in experiment
    Fig. 7. Ink painting used in experiment
    Illumination spectrum estimation results based on real test platform
    Fig. 8. Illumination spectrum estimation results based on real test platform
    MethodMeanMedianBest 25%Worst 25%SD
    WP1.221.280.561.800.49
    GW5.936.045.126.500.71
    GE2.362.412.182.690.43
    SoG2.522.581.943.000.47
    EW1.431.470.821.990.46
    ICS3.644.123.035.170.62
    Proposed0.290.060.020.370.44
    Table 1. Performance comparison of different light source estimation methods based on simulated data
    MethodMeanMedianBest 25%Worst 25%SD
    WP6.493.371.4916.446.72
    GW16.7016.045.6629.949.42
    GE8.527.212.1817.576.22
    SoG11.749.302.6623.298.20
    EW12.858.103.9125.808.93
    ICS13.679.34.2224.648.05
    Proposed3.420.130.0911.625.41
    Table 2. Performance comparison of different light source estimation methods based on real data
    Yang Lu, Haisong Xu. Illumination Spectrum Estimation Method Based on Single Multispectral Image[J]. Acta Optica Sinica, 2022, 42(7): 0733001
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