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LEUKOS
The Journal of the Illuminating Engineering Society
Volume 18, 2022 - Issue 2
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Articles

Impact of Color-Matching Primaries on Observer Matching: Part I – Accuracy

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Pages 104-126 | Received 18 May 2020, Accepted 11 Dec 2020, Published online: 17 Feb 2021

References

  • Ábrahám G, Körösi H, Schanda J, Shapiro AG, Wenzel K. 1995. Anomalies in additive colour matches. Color Res Appl. 20(4):235–244.
  • Alfvin RL, Fairchild MD. 1997. Observer variability in metameric color matches using color reproduction media. Color Res Appl. 22(3):174–188.
  • Asano Y. 2015. Individual colorimetric observers for personalized color imaging. Thesis. Rochester Institute of Technology, Rochester, New York.
  • Asano Y, Fairchild MD. 2020. Categorical observers for metamerism. Color Res Appl. 45(4):576–585.
  • Asano Y, Fairchild MD, Blondé L. 2016a. Individual colorimetric observer model. PLoS One. 11(2):e0145671.
  • Asano Y, Fairchild MD, Blondé L, Morvan P. 2016b. Color matching experiment for highlighting interobserver variability. Color Res Appl. 41(5):530–539.
  • Bates D, Mächler M, Bolker BM, Walker SC 2015. Fitting linear mixed-effects models using lme4. J Stat Softw. 67(1). doi:https://doi.org/10.18637/jss.v067.i01
  • Blackwell KT, Buchsbaum G. 1988. The effect of spatial and chromatic parameters on chromatic induction. Color Res Appl. 13(3):166–173.
  • Braun KM, Fairchild MD, Alessi PJ. 1996. Viewing techniques for cross‐media image comparisons. Color Res Appl. 21(1):6–17.
  • CIE. 1986. Colorimetry. 2nd ed. Publication CIE. 15.2-1986. Central Bureau of the CIE, Vienna.
  • CIE. 2004. Colorimetry. 3rd ed. Technical Report. Publication CIE. 015-2004. Central Bureau of the CIE, Vienna.
  • CIE. 2006. Fundamental chromaticity diagram with physiological axes - part I. CIE 170-1:2006. Central Bureau of the CIE, Vienna.
  • CIE. 2011. CIE international lighting vocabulary. CIE. S 017/E:2011. Central Bureau of the CIE, Vienna.
  • CIE. 2014. Chromaticity difference specification for light sources. CIE. TN001:2014. Central Bureau of the CIE, Vienna.
  • CIE. 2018. Colorimetry. 4th ed. CIE. 015:2018. Central Bureau of the CIE, Vienna. doi:https://doi.org/10.25039/TR.015.2018.
  • Csuti P, Schanda J. 2008. Colour matching experiments with RGB-LEDs. Color Res Appl. 33(2):108–112.
  • Csuti P, Schanda J. 2010. A better description of metameric experience of LED clusters. Light Eng. 18(1):44–50.
  • Cuttle C. 2008. Lighting by Design, 2nd Edition. Oxford: Architectural Press.
  • David A, Sahlhoff D, Wisser M. 2019. Human perception of light chromaticity: short-wavelength effects in spectra with low circadian stimulation, and broader implications for general LED sources. Opt. Express 27(22):31553–31566.
  • Ezquerro JM, Zoido JM, Perales E, Martínez-Verdú F, Melgosa M. 2008. In: CGIV 2008 / MCS / 08 4th European Conference on Color in Graphics, Imaging, and Vision; 10th International Symposium on Multispectral Color Science: final program and proceedings [Electronic resource]. Springfield, VA: Society for Imaging Science and Technology, 2008.
  • Fairchild MD. 1989. A novel method for the determination of color matching functions. Color Res Appl. 14(3):122–130.
  • Field A, Miles J, Field Z. 2012. Discovering statistics using R. Sage publications.
  • Flecy L, Smet KAG. 2015. RGB kleurmatching met nauwbandige en breedbandige primairen. Thesis. KU Leuven, Campus Gent.
  • Grassmann HG. 1854. XXXVII. On the theory of compound colours. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 7(45):254–264.
  • Guild J. 1931. The colorimetric properties of the spectrum. Encycl Earth Sci Ser. 230:149–187.
  • Haddad HJ, Jakstat HA, Arnetzl G, Borbely J, Vichi A, Dumfahrt H, Renault P, Corcodel N, Pohlen B, Marada G, et al. 2009. Does gender and experience influence shade matching quality? J Dent. 37(SUPPL.1):40–44. doi:https://doi.org/10.1016/j.jdent.2009.05.012.
  • Henley SA, Fairchild MD. 2000. Quantifying mixed adaptation in cross-media color reproduction. In: Color and imaging conference. Scottsdale, Arizona, USA. Vol. 2000, No. 1, pp. 305–310. Society for Imaging Science and Technology.
  • Houser KW, Hu X. 2004. Visually matching daylight fluorescent lamplight with two primary sets†. Color Res Appl. 29(6):428–437.
  • Hu X, Houser KW. 2006. Large-field color matching functions. Color Res Appl. 31(1):18–29.
  • Jain N, Verma P, Mittal S, Mittal S, Singh AK, Munjal S. 2010. Gender based alteration in color perception. Indian J Physiol Pharmacol. 54(4):366–370.
  • Judd DB. 1951. Report of U.S. secretariat committee on colorimetry and artificial daylight. Proc 12th Sess CIE. 1951(1):11. https://ci.nii.ac.jp/naid/10016149511/en/
  • Judd DB. 1961. A five-attribute system of describing visual appearance. Philadelphia: American Society for Testing Materials.
  • Katoh N, Nakabayashi K, Ito M, Ohno S. 1998. Effect of ambient light on color appearance of softcopy images: mixed chromatic adaptation for self-luminous displays. J Electron Imaging. 7(4):794–807.
  • Krantz DH. 1975. Color measurement and color theory: I. Representation theorem for Grassmann structures. J Math Psychol. 12(3):283–303.
  • Kuriki I. 2015. Effect of material perception on mode of color appearance. J Vis. 15(8):4.
  • Lenth R, Singmann H, Love J, Buerkner P, Herve M. 2020. Estimated marginal means, aka least-squares means. R package version 1.4.4. https://github.com/rvlenth/emmeans.
  • Li J, Hanselaer P, Smet K. 2019a. Pilot study on color matching accuracy using different primaries. Proceedings of the 29th CIE Session. Washington D.C., USA, June 14 – 22, 2019. p. 1010–1018.
  • Li J, Hanselaer P, Smet K. 2019b. The impact of matching primary peak wavelength on color matching accuracy and observer variability. 27th Color and Imaging Conference. Paris, France. Final Program and Proceedings; Society for Imaging Science and Technology. pp. 220–224 (5).
  • Long DL, Fairchild MD. 2014. Modeling observer variability and metamerism failure in electronic color displays. JIST. 58(3):304021–3040214. doi:https://doi.org/10.2352/J.ImagingSci.Technol.2014.58.3.030402.
  • Lozano RD, Palmer DA. 1969. Large-field color matching and adaptation. J Opt Soc Am. 59(4):463–464.
  • Ma S, Hanselaer P, Teunissen K, Smet K. 2018. The influence of adapting field size on degree of chromatic adaptation. CIE 2018 Smart Lighting, Date: 2018/04/24-2018/04/28; Taipei.
  • Ma S, Hanselaer P, Teunissen K, Smet KAG. 2019. Impact of the starting point chromaticity on memory color matching accuracy. Opt Express. 27(24):35308.
  • Mardia KV. 2014. Multinormality, Mardia’s test of. Wiley statsref stat ref online. https://doi.org/10.1002/9781118445112.stat01657.
  • Murdoch MJ, Fairchild MD. 2019. Modelling the effects of inter-observer variation on colour rendition. Lighting Res Technol. 51(1):37–54.
  • Nimeroff I, Rosenblatt JR, Dannemiller MC. 1961. Variability of spectral tristimulus values. J Res Natl Bur Stand A Phys Chem. 65A(6):475–483. doi:https://doi.org/10.6028/jres.065A.050.
  • North AD, Fairchild MD. 1993. Measuring color-matching functions. Part 11. New data for assessing observer metamerism. Color Res Appl. 18(3):163–170.
  • Ohno Y, Kawashima Y, Oh S, Kwak Y. 2019. Visual evaluation of CIE 2015 cone fundamental-based 10° colour matching functions for lighting applications. Proc 29th CIE Sess. doi:https://doi.org/10.25039/x46.2019.OP69
  • Oicherman B. 2007. Effects of colorimetric additivity failure and of observer metamerism on cross-media colourmatching. Thesis. The University of Leeds. Leeds, UK.
  • Oicherman B, Luo MR, Rigg B, Robertson AR. 2008. Effect of observer metamerism on colour matching of display and surface colours. Color Res Appl. 33(5):346–359.
  • Oleari C, Pavesi M. 2008. Grassmann’s laws and individual color-matching functions for non-spectral primaries evaluated by maximum saturation technique in foveal vision. Color Res Appl. 33(4):271–281.
  • Oulton DP. 2004a. The properties of multiple CMF determinations using alternative primary sets part II: a data unification methodology. Color Res Appl. 29(6):438–450.
  • Oulton DP. 2004b. The properties of multiple CMF determinations using alternative primary sets part I: evidence and modeling. Color Res Appl. 29(4):273–284.
  • Ramanath R. 2009. Minimizing observer metamerism in display systems. Color Res Appl. 34(5):391–398.
  • Rich DC, Jalijali J. 1995. Effects of observer metamerism in the determination of human color-matching functions. Color Res Appl. 20(1):29–35.
  • Sarkar A. 2011a. Identification and assignment of colorimetric observer categories and their applications in color and vision sciences. Université de Nantes. https://tel.archives-ouvertes.fr/tel-00647246.
  • Sarkar A. 2011b. Variability in color matching functions. Technical report. CIE. R1-54. Central Bureau of the CIE, Vienna.
  • Sarkar A, Autrusseau F, Viénot F, Le Callet P, Blondé L. 2011. From CIE 2006 physiological model to improved age-dependent and average colorimetric observers. J Opt Soc Am A. 28(10):2033.
  • Sarkar A, Blondé L, Le Callet P, Autrusseau F, Morvan P, Stauder J. 2010. Toward reducing observer metamerism in industrial applications: colorimetric observer categories and observer classification. In: 18th Color and Imaging Conference. Texas, USA. Vol. 2010. Society for Imaging Science and Technology; p. 307–313.
  • Sarkar A, Blondé L, Le Callet P, Autrusseau F, Stauder J, Morvan P. 2009. Study of observer variability on modern display colorimetry: comparison of CIE 2006 model and 10° standard observer. The 11th Congress of the International Colour Association (AIC); Sydney, Australia: AIC.
  • Shapiro AG, Pokorny J, Smith VC. 1994. Rod contribution to large‐field color matching. Color Res Appl. 19(4):236–245.
  • Shaw M, Fairchild M. 2002. Evaluating the 1931 CIE color-matching functions. Color Res Appl. 27(5):316–329.
  • Shi C, Huang M, Liu Y, Li Z, Liu H. 2016. Study on observers’ categories based on color matching experiments. In: China Academic Conference on Printing & Packaging and Media Technology. Singapore: Springer. p. 123–129.
  • Smet KAG. 2018. Tutorial: the LuxPy Python toolbox for lighting and color science. LEUKOS. doi:https://doi.org/10.1080/15502724.2018.1518717
  • Smet KAG, Deconinck G, Hanselaer P. 2014. Chromaticity of unique white in object mode. Opt Express. 22(21):25830–25841.
  • Speranskaya NI. 1959. Determination of spectrum color coordinates for twenty-seven normal observers. Opt Spectrosc. 7:424–428. [accessed 2020 Mar 6]. http://ci.nii.ac.jp/naid/10018424674/en/.
  • Stiles WS, Burch JM. 1955. Interim report to the commission internationale de l’Eclairage, Zurich, 1955, on the national physical laboratory’s investigation of colour-matching (1955). Opt Acta. 2(4):168–181.
  • Stiles WS, Burch JM. 1959. N.P.L. Colour-matching investigation: final report (1958). Opt Acta Int J Opt. 6(1):1–26.
  • Stiles WS, Wyszecki G. 1962. Field trials of color-mixture functions*. J Opt Soc Am. 52(1):58.
  • Stockman A, Sharpe LT. 1999. Cone spectral sensitivities and color matching. In: Color Vision: From Genes to Perception., K. Gegenfurtner, and L. Sharper, eds. Cambridge: Cambridge University Press, p. 53–88.
  • Stockman A, Sharpe LT. 2000. The spectral sensitivities of the middle- and long-wavelength-sensitive cones derived from measurements in observers of known genotype. Vision Res. 40(13):1711–1737.
  • Thornton WA. 1992a. Toward a more accurate and extensible colorimetry. Part III. Discussion (continued). Color Res Appl. 17(4):240–262.
  • Thornton WA. 1992b. Toward a more accurate and extensible colorimetry. Part I. Introduction. The visual colorimeter-spectroradiometer. experimental results. Color Res Appl. 17(2):79–122.
  • Thornton WA. 1992c. Toward a more accurate and extensible colorimetry. Part II. Discussion. Color Res Appl. 17(3):162–186.
  • Thornton WA. 1997. Toward a more accurate and extensible colorimetry. Part IV. Visual experiments with bright fields and both 10° and 1.3° field sizes William. Color Res Appl. 22(3):189–198.
  • Thornton WA. 1998. Toward a more accurate and extensible colorimetry. Part VI. Improved weighting functions. Preliminary results. Color Res Appl. 23(4):226–233.
  • Thornton WA. 1999. Spectral sensitivities of the normal human visual system, color-matching functions and their principles, and how and why the two sets should coincide. Color Res. Appl. 24:139–156. https://doi.org/https://doi.org/10.1002/(SICI)1520-6378(199904)24:2<139::AID-COL9>3.0.CO;2-O
  • Thornton WA. 2000. Suggested optimum primaries and gamut in color imaging. Color Res Appl. 25(2):148–150.
  • Thornton WA, Fairman HS. 1998. Toward a more accurate and extensible colorimetry. Part V. Testing visually matching pairs of lights for possible rod participation on the Aguilar-Stiles model. Color Res Appl. 23(2):92–103.
  • Vos JJ. 1978. Colorimetric and photometric properties of a 2° fundamental observer. Color Res Appl. 3(3):125–128.
  • Wright WD. 1929. A re-determination of the trichromatic coefficients of the spectral colours. TransOpt Soc. 30(4):141–164.
  • Wyszecki G, Stiles WS. 2000. Color science: concepts and methods, quantitative data and formulas. 2nd ed. London (UK): John Wiley & Sons, Inc.
  • Zaidi Q. 1986. Adaptation and color matching. Vision Res. 26(12):1925–1938.