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Colour Preference Depends on Colour Temperature, Illuminance Level and Object Saturation - a New Metric. L&E 27 (6) 2019

Light & Engineering 27 (6)

Volume 27
Date of publication 12/20/2019
Pages 137-151

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Colour Preference Depends on Colour Temperature, Illuminance Level and Object Saturation - a New Metric. L&E 27 (6) 2019
Articles authors:
Quang Trinh Vinh, Peter Bodrogi, Tran Quoc Khanh, Tran Thuy Anh

Quang Trinh Vinh, Ph.D. He deals with lighting engineering issues of solid-state lighting and automation processing. He obtained his M. Sc. degree at the Hanoi University of Mining and Geology. He received his Ph.D. degree on LED modelling, LED optimization, LED colour mixing and LED phosphor mixing as well as hybrid LEDs at the Technische Universitat Darmstadt in Darmstadt, Germany. Currently, he is a research fellow at the Technische Universitat Darmstadt

Peter Bodrogi, Dr. He is Optoelectronic Engineer at ERCO GmbH, Lüdenscheid, Germany. He studied physics at the Lorand Eotvos University in Budapest, Hungary. He obtained his Ph.D. degree in Information Technology from the University of Pannonia (Veszprém, Hungary). He obtained his Lecture Qualification Thesis (habilitation) in Lighting Engineering from the Technische Universität Darmstadt (Darmstadt, Germany). His interests concern lighting engineering, colorimetry, colour science, modern software technologies and LED lighting systems

Tran Quoc Khanh, Dr., Prof. He is studied from 1980 to 1985 Machine Engineering and Technical Optics before he finished his Ph.D. thesis on the Spectroscopy of UV‑VIS Radiation Sources in 1989. Between 1990–1997 and 1997–1999, he was laboratory leader and project manager for photometry, radiometry and colorimetry at PRC Krochmann and Gigahertz Optik. Between 2000 and 2006, he was technical manager for optical imaging systems at ARRI, developed a digital CMOS camera, a film scanner and a laser recorder and optimized colour image processing for cinematography and TV signal processing. In 2005, he completed his Lecture Qualified Thesis (habilitation) on colour appearance and visual performance and started his current work as a Professor for Lighting Technology and Solid‑State Lighting at the Technische Universität Darmstadt. He is conducting research and development projects on LED lighting technology. He is also the Chairman of the International Symposium for Automotive Lighting (ISAL). He is author of several books and scientific articles and inventor of patents on lighting technology and related subjects. He is currently Dean of the Department of Electrical Engineering and Information Technology at the Technische Universität Darmstadt

Tran Thuy Anh, Ph.D. Currently, she is an Associate Professor at the Vietnam National University in Hanoi. She obtained her Ph.D. from Vietnam National Institute of Culture and Arts Studies. She is an expert in conducting empirical research, textual analysis, as well as content analysis. Her research interests consist of various culture-related issues, including techno-culture and consumption behaviour

Abstract:
A new metric (Rp,2019) is defined as a light source to predict the subjective colour preference impression of an interior scene containing coloured objects illuminated by this light source. The metric is based on the CIE2017 Colour Fidelity Index and the TM-30-15 Colour Vector Graphic. In addition to its dependence on object saturation level, the metric also includes the dependence on correlated colour temperature and on the characteristic illuminance level at the plane on which the coloured objects are arranged. The scale of the metric is labeled with criterion values corresponding to “good” or “very good” colour preference. The aim is to help lighting designers and engineers to determine the illuminance level, colour temperature and object saturation necessary to achieve “good” or “very good” colour preference.
References:
1. P. Bodrogi, S. Bruckner, T.Q. Khanh, H. Winkler, Visual Assessment of Light Source Colour Quality// Colour Research and Application, 2013, Vol .38, pp. 4-13.
2. T.Q. Khanh, P. Bodrogi, Q.T. Vinh, D. Stojanovic, Colour preference, naturalness, vividness and colour quality metrics - Part 1: Experiments in a real room// Lighting Research and Technology, 2016, Vol .49, pp. 697-713.
3. T.Q. Khanh, P. Bodrogi, Q.T. Vinh, X. Guo, T.T. Anh, “Colour preference, naturalness, vividness and colour quality metrics, Part 4: Experiments with still life arrangements at different correlated colour temperatures// Lighting Research and Technology, 2017, Vol .50, pp. 862-879.
4. T.Q. Khanh, P. Bodrogi, Q.T. Vinh, D. Stojanovic, Colour preference, naturalness, vividness and colour quality metrics, Part 2: Experiments in a viewing booth and analysis of the combined dataset // Lighting Research and Technology, 2017, Vol .49, pp. 714-726.
5. T.Q. Khanh, P. Bodrogi, X. Guo, Q.T. Vinh, S. Fischer, Colour preference, naturalness, vividness and colour quality metrics, Part 5: A colour preference experiment at 2000 lx in a real room // Lighting Research and Technology; first published online 20 October; DOI 10.1177/1477153517737133, 2017.
6. S. Jost-Boissard, P. Avouac, P. Fontoynont, Assessing the colour quality of LED sources: Naturalness, attractiveness, colourfulness and colour difference // Lighting Res. Technol, 2015, Vol .47, pp. 769-794.
7. D. Durmus, W. Davis, Object colour naturalness and attractiveness with spectrally optimized illumination // Optics Express, 2017, Vol .25, pp. 12839-12850.
8. Y. Lin, J. He, A. Tsukitani, H. Noguchi, Colour quality evaluation of natural objects based on the Feeling of Contrast Index // Lighting Research and Technology, 2016, Vol .48, pp. 323-339.
9. K. A.G. Smet, P. Hanselaer, Memory and preferred colours and the colour rendition of white light sources // Lighting Research and Technology, 2016, Vol .48, pp.393-411.
10. P.R. Boyce, C. Cuttle, Effect of correlated colour temperature on the perception of interiors and colour discrimination performance // Lighting Research and Technology, 1990, Vol .22, pp. 19-36.
11. L. Xu, M.R. Luo, M. Pointer, The development of a colour discrimination index // Lighting Research and Technology, 2018, Vol .50, pp. 681-700.
12. T. Esposito, K. Houser, A new measure of colour discrimination for LEDs and other light sources // Lighting Research and Technology, 2019, Vol .51, pp. 5-23.
13. T. Esposito, K. Houser, Models of colour quality over a wide range of spectral power distributions // Lighting Research and Technology; first published online on April 13; DOI 10.1177/1477153518765953, 2018.
14. Y. Lin, M. Wei, K. A. G Smet, A. Tsukitani, P. Bodrogi, T.Q. Khanh, Colour preference varies with lighting application,” Lighting Research and Technology, 2015, Vol .49, pp. 316-332.
15. IES (Illuminating Engineering Society), IES method for evaluating light source colour rendition // IES TM-30-15, 2015. 16. CIE (Commission Internationale de l’Eclairage), CIE2017 Colour Fidelity Index for accurate scientific use // CIE Publication 224:2017, 2017.
17. M.S. Islam, R. Dangol, M. Hyvarinen, P. Bhusal, M. Puolakka, L. Halonen, User preferences for LED lighting in terms of light spectrum // Lighting Research and Technology, 2013, Vol .45, pp. 641-665.
18. R. Dangol, M.S. Islam, M. Hyvarinen, P. Bhushal, M. Puolakka, L. Halonen, User acceptance studies for LED office lighting: Preference, naturalness and colourfulness // Lighting Research and Technology, 2015, Vol .47, pp. 36-53.
19. M. Wei, K.W. Houser, A. David, M.R. Krames, Colour gamut size and shape influence colour preference// Lighting Research and Technology, 2017, Vol .49, pp. 992-1014.
20. M.P. Royer, A. Wilkerson, M. Wei, K. Houser, R. Davis, Human perceptions of colour rendition vary with average fidelity, average gamut, and gamut shape // Lighting Research and Technology, 2017, Vol .49, pp. 966-991.
21. M.P. Royer, A. Wilkerson, M. Wei, Human perceptions of colour rendition at different chromaticities // Lighting Research and Technology, 2018, Vol .50, pp. 965-994.
22. Z. Huang, Q. Liu, S. Westland, M.R. Pointer, M.R. Luo, K. Xiao, Light dominates colour preference when correlated colour temperature differs // Lighting Research and Technology, 2018, Vol .50, pp. 995-1012.
23. H. Li, M.R. Luo, X.Y. Liu, B.Y. Wang, H.Y. Liu, Evaluation of colour appearance in a real lit room // Lighting Research and Technology, 2016, Vol .48, pp. 412-432.
24. P. Bodrogi, X. Guo, D. Stojanovic, S. Fischer, T.Q. Khanh, Observer preference for perceived illumination chromaticity // Colour Research and Application, Early View, 2018.
25. Y. Wang, M. Wei, Preference among light sources with different Duv but similar colour rendition: A pilot study // Lighting Research and Technology, 2018, Vol .50, pp. 1013-1023.
26. M. Wei, K.W. Houser, What Is the Cause of Apparent Preference for Sources with Chromaticity below the Blackbody Locus? // LEUKOS, 2016, Vol .12, pp. 95-99.
27. M. Wei, W. Bao, H.P. Huang, Consideration of Light Level in Specifying Light Source Colour Rendition // LEUKOS, published online on 11 May; DOI 10.1080/15502724.2018.1448992, 2018.
28. M. Wei, Maintaining Colour Preference under Different Light Levels, // presented at the 15th China International Forum on Solid State Lighting, Shenzhen, China, 23-25 Oct. 2018.
29. T.Q. Khanh, P. Bodrogi, X. Guo, P.Q. Anh PhD, Towards a user preference model for interior lighting Part 2: Experimental results and modelling // Lighting Research and Technology; published online on December 13; DOI 10.1177/1477153518816474, 2018.
30. H.W. Bodmann, G. Sollner, E. Voit, Evaluation of lighting level with various kinds of light // in: Proceedings of the CIE19th Session (CIE, 1963).
31. H.W. Bodmann, Quality of interior lighting based on luminance // Transactions of the Illuminating Engineering Society, 1967, Vol .32, pp. 22-40.
32. T.Q. Khanh, P. Bodrogi, X. Guo, P.Q. Anh PhD, Towards a user preference model for interior lighting Part 1: Concept of the user preference model and experimental method,” Lighting Research and Technology; published online on December 13; DOI 10.1177/1477153518816469 (2018).
33. K. Smet, W.R. Ryckaert, M.R. Pointer, G. Deconinck, P. Hanselaer, Correlation between colour quality metric predictions and visual appreciation of light sources // Optics Express, 2011, Vol .19, pp. 8151-8166.
34. K.W. Houser, M. Wei, A. David, M.R. Krames, X.S. Shen, Review of measures for light-source colour rendition and considerations for a two-measure system for characterizing colour rendition // Optics Express, 2013, Vol .21, pp. 10393-10411.
35. W. Davis, Y. Ohno, Colour quality scale // Optical Engineering, 2010, Vol .49, pp. 033602.
36. A. David, P.T. Fini, K.W. Houser, L. Whitehead, Development of the IES method for evaluating the colour rendition of light sources // Optics Express, 2015, Vol .23, pp. 15888-15906.
37. F. Ebner, M.D. Fairchild, Development and testing of a colour space (IPT) with improved hue uniformity // in: Proceedings of the IS&T 6th Colour Imaging Conference, 1998.
38. S.A. Fotios, G.J. Levermore, Chromatic effect on apparent brightness in interior spaces, II: SWS lumens model // Lighting Research and Technology, 1998, Vol .30, pp.103-106.
39. P. Bodrogi, S. Bruckner, N. Krause, T.Q. Khanh, Semantic interpretation of colour differences and colourrendering indices // Colour Research and Application, 2014, Vol .39, pp. 252-262.
40. M.S. Rea, J.P. Freyssinier, White lighting // Colour Research and Application, 2013, Vol .38, pp. 82-92.
41. Q.T. Vinh, P. Bodrogi, T.Q. Khanh, Preliminary measure for the characterization of the usefulness of light sources // Optics Express, 2018, Vol .26, pp. 14538-14551.
42. E.E. Dikel, G.J. Burns, J.A. Veitch, S. Mancini, G.R. Newsham, Preferred chromaticity of colour-tunable LED lighting // LEUKOS, 2014, Vol .10, pp. 101-115.
43. Y. Ohno, M. Fein, Vision experiment on acceptable and preferred white light chromaticity for lighting // in: Proceedings of CIE2014 Lighting Quality and Energy Efficiency, CIE, 2014.
44. DIN (German Industry Standard), DIN EN12464- 1, Lighting of work places - Part 1: Indoor work places, DIN, 2011.
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