Content
Light & Engineering 29 (3)
Volume 29Date of publication 06/24/2021
Pages 100–107
Abstract:
This article is devoted to the research of the influence of induction and crispening effects on the lightness of objects. The target of this research is to simplify and clarify the analysis of the light distributions derived from the results of lighting calculations and measurements, and also to form the recommendations for obtaining preferred lightness contrasts in the case of visual perception of objects on different backgrounds. To provide such possibilities, it is necessary to refine the model of the lightness calculation in modern colour appearance models, which, in turn, requires the results of new experiments to take into account the induction and crispening effects in the conditions of simultaneous contrast. The same experiment was established by Takasaki on visual perception of grey squares on grey backgrounds. The article substantiates the necessity to refine the results of the Takasaki experiment and conduct the new experimental approach in more strictly specified conditions and in the expanded luminance range to ensure conditions of the modern standards. Here we propose setting up an experiment that provides these refinements and considers the properties of the proximal field – the contour of objects. The search of the results uses multi-objective optimization methods. The first results of this experiment are presented, based on them, were formed proposals to determine the preferred luminance of objects to ensure the required levels of lightness contrast when working on specified backgrounds. The calculations of the lightness deviations obtained as the result of the experiment and in the CIECAM02 colour appearance model, are presented. The peculiarities of translations of lighting engineering literature in the field of modelling a light-colour environment are noted, which require clarification for a correct and reliable understanding of colour appearance models, for which is proposed to open a discussion on this subject.
References:
1. Boyce P. Editorial: Exploring human-centric lighting // Lighting Research and Technology. 2016, Vol. 48, pp. 101. 2. Judd D. B., Wyszecki H. Colour in Business, Science and Industry, Third Edition // John Wiley & Sons. 1975, pp. 576. 3. Fairchild M.D. Colour appearance model // Wiley. 2013, pp. 450. 4. Judd D., Vyshetsky G. Color in science and technology-M: Mir Publishing House. 1978, pp. 592. 5. Fershild M.D. Models of color perception. Second edition-St. Petersburg. 2006, pp. 349. 6. Yuechen Zhu et al. Modelling of simultaneous contrast effects using memory colour matching method to revise the CIECAM16 colour appearance model. OP06 CIE x046:2019. Proceedings of the 29th CIE session, Washington D.C., USA, 14–22, (June 2019). 7. Luo M. R., Li C. CIECAM02 and Its Recent Developments. Springer New York, New York, NY, 19–58 (May 2012). 8. Munsell Albert H. A Colour Notation. Boston: G.H. Ellis Co. 1905, p. 111. 9. Takasaki H. Lightness Change of Grays Induced by Change in Reflectance of Gray Background – J. Opt. Soc. Am. 56. 1966, pp. 504–509. 10. Semmelroth C. Adjustment of the Munsell-value and W*-scale to uniform lightness steps for various background reflectances // Applied Optics. 1971, Vol. 10, pp. 14–18. 11. CODE OF RULES52.13330.2016 Natural and artificial lighting. 12. Blackwell H. Contrasts thresholds of the human eye // JOSA. 1946, Vol. 36, #10, pp. 624–643. 13. Code of sanitary regulations 2.2.2/2.4.1340–03 Hygienic requirements for personal electronic computers and work organization 14. IEC61966–2–1: 1999 Multimedia systems and equipment – Colour measurement and management – Part 2–1: Colour management – Default RGB colour space – sRGB
Keywords
- lighting
- engineering
- light
- distribution
- lightness
- luminance
- perception
- induction
- contrast
- saturation
- hue
- colour
- system
- model
- object
- subject
- analysis
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