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Study on the Effectiveness of Colour Quality Metrics in Preference Prediction at Different Illuminance Levels

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Advanced Graphic Communication, Printing and Packaging Technology

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

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Abstract

Now many studies discuss the preferred correlated colour temperature (CCT) as well as the validity of colour quality metrics. However, most of them were implemented under a constant illuminance (E) level. In this study, three E levels (50, 200, 600 lx) and three CCT levels (3500, 5000, 6500 K) were adopted to illuminate six single-coloured decorative birds. Twenty participants, ten males and ten females, were invited to respond with their visual preference of the colour of the experimental birds. The purpose of this work is mainly to discuss the validity of colour preference metrics at different E levels, as well as to provide reference for the exhibition of artwork of monochromatic colours. Based on the subjective preference data, twenty-six colour quality metrics of light source were evaluated in this study. The results indicate that at different E levels, the average subjective preference increases with CCT, but the combination of high E level and high CCT will lead to a decline in preference due to over-whiteness-perception. In addition, the validity of metrics also varies with E levels while in general many metrics are highly correlated with the subjective preference.

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References

  1. Liu Q, Huang Z, Liu Y et al (2018) Best lighting for jeans, Part 1: Optimizing colour preference and colour discrimination with multiple correlated colour temperatures. Res Technol, Light. https://doi.org/10.1177/1477153518816125

    Book  Google Scholar 

  2. Narendran N, Deng L (2002) Color rendering properties of LED light sources. In: Proceedings of SPIE—The International Society for Optical Engineering. https://doi.org/10.1117/12.452574

  3. Nascimento SMC, Masuda O (2014) Best lighting for visual appreciation of artistic paintings—experiments with real paintings and real illumination. JOSA 31(4):214–219

    Article  Google Scholar 

  4. Huang Z, Liu Q, Westland S et al (2018) Light dominates colour preference when correlated colour temperature differs. Light Res Technol 50(7):995–1012

    Article  Google Scholar 

  5. Feltrin F, Leccese F, Hanselaer P, et al (2017) Analysis of painted artworks’ color appearance under various lighting settings. In: 2017 17th IEEE international conference on environment and electrical engineering and 2017 1st IEEE industrial and commercial power systems Europe. https://doi.org/10.1109/eeeic.2017.7977574

  6. Smet K, Ryckaert WR, Pointer MR et al (2011) Correlation between color quality metric predictions and visual appreciation of light sources. Opt Express 19(9):8151–8166

    Article  Google Scholar 

  7. Smet KAG, Ryckaert WR, Pointer MR et al (2010) Memory colours and colour quality evaluation of conventional and solid-state lamps. Opt Express 18(25):26229–26244

    Article  Google Scholar 

  8. Khanh TQ, Bodrogi P, Vinh QT et al (2017) Colour preference, naturalness, vividness and colour quality metrics, Part 1: experiments in a room. Light Res Technol 49(6):697–713

    Article  Google Scholar 

  9. Khanh TQ, Bodrogi P, Vinh QT et al (2017) Colour preference, naturalness, vividness and colour quality metrics, Part 2: experiments in a viewing booth and analysis of the combined dataset. Light Res Technol 49(6):714–726

    Article  Google Scholar 

  10. Khanh TQ, Bodrogi P (2018) Colour preference, naturalness, vividness and colour quality metrics, Part 3: experiments with makeup products and analysis of the complete warm white dataset. Light Res Technol 50(2):218–236

    Article  Google Scholar 

  11. Khanh TQ, Bodrogi P, Vinh QT et al (2018) Colour preference, naturalness, vividness and colour quality metrics, Part 4: experiments with still life arrangements at different correlated colour temperatures. Light Res Technol 50(6):862–879

    Article  Google Scholar 

  12. Nickerson D, Jerome CW (1965) Color rendering of light sources: CIE method of specification and its application. Illum Eng 60:262–271

    Google Scholar 

  13. Freyssinier JP, Rea M (2002) A two-metric proposal to specify the color-rendering properties of light sources for retail lighting. Proc SPIE. https://doi.org/10.1117/12.863063

  14. Rea M, Deng L, Wolsey R (2004) NLPIP lighting answers: light sources and color. Polytechnic Institute

    Google Scholar 

  15. Davis W, Ohno Y (2010) Color quality scale. Opt Eng 49(3)

    Google Scholar 

  16. Hashimoto K, Yano T, Shimizu M et al (2007) New method for specifying color rendering properties of light sources based on feeling of contrast. Color Res Appl 32(5):361–371

    Article  Google Scholar 

  17. Thornton WA (1972) Color-discrimination index. J Opt Soc Am 62(2):191–194

    Article  Google Scholar 

  18. Fotios SA (1997) The perception of light sources of different colour properties. Doctor of Philosophy Thesis, UMIST, United Kingdom

    Google Scholar 

  19. Thornton WA (1974) A validation of the color-preference index. J Illum Eng Soc 4(1):48–52

    Article  MathSciNet  Google Scholar 

  20. Luo MR (2011) The quality of light sources. Color Technol 127(2):75–87

    Article  Google Scholar 

  21. Smet KA, Schanda J, Whitehead L et al (2013) CRI2012: a proposal for updating the CIE colour rendering index. Light Res Technol 45(6):689–709

    Article  Google Scholar 

  22. David A, Fini PT, Houser KW et al (2015) Development of the IES method for evaluating the color rendition of light sources. Opt Express 23(12):15888–15906

    Article  Google Scholar 

  23. Liu Q, Huang Z, Xiao K et al (2017) Gamut volume index: a color preference metric based on meta-analysis and optimized colour samples. Opt Express 25(14):16378–16391

    Article  Google Scholar 

  24. Kevin A, Geert D, Peter H (2014) Chromaticity of unique white in object mode. Opt Express 22(21):25830–25841

    Article  Google Scholar 

  25. Wang Q, Xu H, Cai J (2015) Chromaticity of white sensation for LED lighting. Chin Opt Lett 13(7)

    Google Scholar 

  26. Rea MS, Freyssinier JP (2015) White lighting: a provisional model for predicting perceived tint in “white” illumination. Color Res Appl 39(5):466–479

    Article  Google Scholar 

  27. Acosta I (2017) Daylight spectrum index: development of a new metric to determine the color rendering of light sources. In: Proceedings of the international conference on civil and urban engineering, Prague, Czech Republic, 14 March 2017, vol. 9, pp. 442–447

    Google Scholar 

  28. Jost-Boissard S, Avouac P, Fontoynont M (2014) Assessing the colour quality of LED sources: naturalness, attractiveness, colourfulness and colour difference. Light Res Technol 47(7):769–794

    Article  Google Scholar 

  29. Khanh T, Bodrogi P, Guo X, et al (2018) Towards a user preference model for interior lighting Part 1: concept of the user preference model and experimental method. Light Res Technol. https://doi.org/10.1177/1477153518816469

  30. Khanh T, Bodrogi P, Guo X, et al (2018) Towards a user preference model for interior lighting. Part 2: experimental results and modelling. Light Res Technol. https://doi.org/10.1177/1477153518816474

  31. Wei M, Bao W, Huang H-P (2018) Consideration of light level in specifying light source color rendition. LEUKOS. https://doi.org/10.1080/15502724.2018.1448992

    Article  Google Scholar 

  32. Dangol R, Islam M, Lisc MH et al (2013) Subjective preferences and colour quality metrics of LED light sources. Light Res Technol 45(6):666–688

    Article  Google Scholar 

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Author information

Authors and Affiliations

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

    Wei Chen, Zheng Huang, Zhen Hou & Qiang Liu

  2. WAC Lighting, Shanghai, China

    Lianjiang Rao

Authors
  1. Wei Chen
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  2. Lianjiang Rao
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  3. Zheng Huang
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  4. Zhen Hou
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  5. 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

Ethics declarations

Funding: This work is supported by the National Natural Science Foundation of China (61505149), Young Talent Project of Wuhan City of China (2016070204010111) and National innovation and entrepreneurship training program for college students (201910486091).

Conflict of Interest: The authors declare that they have no conflict of interest.

Ethical approval: All procedures performed in studies involving human participants were in accordance with the ethical standards of the school of printing and packaging, Wuhan University and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent: Informed consent was obtained from all individual participants included in the study.

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Chen, W., Rao, L., Huang, Z., Hou, Z., Liu, Q. (2020). Study on the Effectiveness of Colour Quality Metrics in Preference Prediction at Different Illuminance Levels. 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_9

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  • DOI: https://doi.org/10.1007/978-981-15-1864-5_9

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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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