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Correlations Between Colour Discrimination and Colour Quality Metrics

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Advanced Graphic Communication, Printing and Packaging Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 600))

Abstract

Nowadays, many studies are trying to propose a measure for characterizing the colour discrimination of human vision. Our previous work conducted three sets of colour discrimination experiments using the Farnsworth -Munsell (FM) 100 Hue Test under lighting conditions with different correlated colour temperatures, illumination levels and Duv values. In this study, the Pearson correlation coefficients between observers’ average error score and 27 typical colour quality metrics were computed based on the three sets of experimental data. The results show that among these metrics, CDI, CSA, GAI, GAI-RA and FSCI have stronger correlations with colour discrimination for most lighting conditions, and relatively, CQI-1, DSI(D65) and Snuetral perform better.

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Author information

Authors and Affiliations

  1. School of Printing and Packaging, Wuhan University, Wuhan, China

    Ying Liu, Zheng Huang, Hanwen Gong, Xinwei Wu & Qiang Liu

  2. WAC Lighting, Shanghai, China

    Lianjiang Rao

Authors
  1. Ying Liu
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  2. Lianjiang Rao
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  3. Zheng Huang
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  4. Hanwen Gong
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  5. Xinwei Wu
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  6. Qiang Liu
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Corresponding author

Correspondence to Qiang Liu .

Editor information

Editors and Affiliations

  1. China Academy of Printing Technology, Beijing, China

    Pengfei Zhao

  2. China Academy of Printing Technology, Beijing, China

    Zhuangzhi Ye

  3. China Academy of Printing Technology, Beijing, China

    Min Xu

  4. China Academy of Printing Technology, Beijing, China

    Li Yang

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Liu, Y., Rao, L., Huang, Z., Gong, H., Wu, X., Liu, Q. (2020). Correlations Between Colour Discrimination and Colour Quality Metrics. In: Zhao, P., Ye, Z., Xu, M., Yang, L. (eds) Advanced Graphic Communication, Printing and Packaging Technology. Lecture Notes in Electrical Engineering, vol 600. Springer, Singapore. https://doi.org/10.1007/978-981-15-1864-5_2

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  • DOI: https://doi.org/10.1007/978-981-15-1864-5_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1863-8

  • Online ISBN: 978-981-15-1864-5

  • eBook Packages: EngineeringEngineering (R0)

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