• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 4, 1044 (2022)
Dan-yang JIANG*, Zhi-feng WANG1; *;, Cheng GAO1; 2;, and Chang-jun LI1;
Author Affiliations
  • 1. School of Computer and Software Engineering, University of Science and Technology Liaoning, Anshan 114051, China
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    DOI: 10.3964/j.issn.1000-0593(2022)04-1044-05 Cite this Article
    Dan-yang JIANG, Zhi-feng WANG, Cheng GAO, Chang-jun LI. Spectral Reflectance Reconstruction With Color Constancy[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1044 Copy Citation Text show less
    Procedure for computing the CMCCON02
    Fig. 1. Procedure for computing the CMCCON02
    Influence of different smooth weights on color constancy in spectral reflectance reconstruction
    Fig. 2. Influence of different smooth weights on color constancy in spectral reflectance reconstruction
    Spectral reflectance reconstruction of different methods
    Fig. 3. Spectral reflectance reconstruction of different methods
    CII for original reflectance (horizontal axis) versus CII for reconstructed reflectance (vertical axis) based on Munsell dataset(a): The proposed; (b): Li; (c): Berns; (d): Takahama
    Fig. 4. CII for original reflectance (horizontal axis) versus CII for reconstructed reflectance (vertical axis) based on Munsell dataset
    (a): The proposed; (b): Li; (c): Berns; (d): Takahama
    样本方法CIIRMSEGFC
    MeanMaxMeanMaxMeanMin
    Munsell本方法(s=6)1.477 64.271 50.042 00.192 00.981 50.708 7
    Li方法2.254 77.599 60.030 20.196 90.983 50.538 5
    Berns方法3.900 67.403 00.247 80.447 40.682 00.144 6
    Takahama方法2.140 08.714 60.049 20.294 90.974 40.438 1
    Table 1. Comparison of reflectance reconstruction results by different methods
    Dan-yang JIANG, Zhi-feng WANG, Cheng GAO, Chang-jun LI. Spectral Reflectance Reconstruction With Color Constancy[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1044
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