Optical Technique, Volume. 49, Issue 2, 191(2023)

Evaluation on the prediction of color appearance model for metallic paints based on BRDF

DENG ChenYang*, LIAO Ningfang, LI Yumei, and LI Yasheng
Author Affiliations
  • [in Chinese]
  • show less

    Through binocular observation and matching psychophysical experiments, the visual evaluations of metallic paints under two geometric conditions were carried out, and the visual average data of metallic paints were linearly fitted by the least squares method with the prediction of color appearance model based on the bidirectional reflectance distribution function (BRDF) data and the PR715 spectrophotometer measurements. The experimental results show that BRDF data can be used to predict the color appearance of metallic paints under different geometric conditions. For prediction of the three-attribute, the prediction accuracy of the color appearance model based on BRDF data is not as good as that based on PR715 spectroradiometer data in terms of the brightness and chroma, while the prediction accuracy of the color appearance model based on BRDF data is higher than that based on PR715 spectroradiometer data for hue angles.

    Tools

    Get Citation

    Copy Citation Text

    DENG ChenYang, LIAO Ningfang, LI Yumei, LI Yasheng. Evaluation on the prediction of color appearance model for metallic paints based on BRDF[J]. Optical Technique, 2023, 49(2): 191

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Sep. 7, 2022

    Accepted: --

    Published Online: Apr. 16, 2023

    The Author Email: ChenYang DENG (1286803494@qq.com)

    DOI:

    Topics