OSA's Digital Library

Optics Express

Optics Express

  • Editor: C. Martijin de Sterke
  • Vol. 19, Iss. 7 — Mar. 28, 2011
  • pp: 6903–6912

Optimal colour quality of LED clusters based on memory colours

Kevin Smet, Wouter R. Ryckaert, Michael R. Pointer, Geert Deconinck, and Peter Hanselaer  »View Author Affiliations


Optics Express, Vol. 19, Issue 7, pp. 6903-6912 (2011)
http://dx.doi.org/10.1364/OE.19.006903


View Full Text Article

Enhanced HTML    Acrobat PDF (2152 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

The spectral power distributions of tri- and tetrachromatic clusters of Light-Emitting-Diodes, composed of simulated and commercially available LEDs, were optimized with a genetic algorithm to maximize the luminous efficacy of radiation and the colour quality as assessed by the memory colour quality metric developed by the authors. The trade-off of the colour quality as assessed by the memory colour metric and the luminous efficacy of radiation was investigated by calculating the Pareto optimal front using the NSGA-II genetic algorithm. Optimal peak wavelengths and spectral widths of the LEDs were derived, and over half of them were found to be close to Thornton’s prime colours. The Pareto optimal fronts of real LED clusters were always found to be smaller than those of the simulated clusters. The effect of binning on designing a real LED cluster was investigated and was found to be quite large. Finally, a real LED cluster of commercially available AlGaInP, InGaN and phosphor white LEDs was optimized to obtain a higher score on memory colour quality scale than its corresponding CIE reference illuminant.

© 2011 OSA

OCIS Codes
(230.3670) Optical devices : Light-emitting diodes
(330.1690) Vision, color, and visual optics : Color
(330.1715) Vision, color, and visual optics : Color, rendering and metamerism

ToC Category:
Vision, Color, and Visual Optics

History
Original Manuscript: January 10, 2011
Revised Manuscript: March 17, 2011
Manuscript Accepted: March 18, 2011
Published: March 25, 2011

Virtual Issues
Vol. 6, Iss. 4 Virtual Journal for Biomedical Optics

Citation
Kevin Smet, Wouter R. Ryckaert, Michael R. Pointer, Geert Deconinck, and Peter Hanselaer, "Optimal colour quality of LED clusters based on memory colours," Opt. Express 19, 6903-6912 (2011)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-19-7-6903


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. E. F. Schubert and J. K. Kim, “Solid-state light sources getting smart,” Science 308(5726), 1274–1278 (2005). [CrossRef] [PubMed]
  2. E. F. Schubert, J. K. Kim, H. Luo, and J.-Q. Xi, “Solid-state lighting—a benevolent technology,” Rep. Prog. Phys. 69(12), 3069–3099 (2006). [CrossRef]
  3. M. S. Shur, and R. Zukauskas, “Solid-State Lighting: Toward Superior Illumination,” in Proceedings of the IEEE (2005), pp. 1691 - 1703.
  4. A. Žukauskas, R. Vaicekauskas, and M. Shur, “Solid-state lamps with optimized color saturation ability,” Opt. Express 18(3), 2287–2295 (2010). [CrossRef] [PubMed]
  5. P. Bodrogi, P. Csuti, P. Hotváth, and J. Schanda, “Why does the CIE Colour Rendering Index fail for White RGB LED Light Sources?” in CIE Expert Symposium on LED Light Sources: Physical Measurement and Visual and Photobiological Assessment(Tokyo, Japan, 2004).
  6. W. Davis and Y. Ohno, “Toward an Improved Color Rendering Metric,” SPIE 59411–59418 (2005).
  7. F. Szabó, J. Schanda, P. Bodrogi, and E. Radkov, “A Comparative Study of New Solid State Light Sources,” in CIE Session 2007(2007).
  8. N. Narendran, and L. Deng, “Color Rendering Properties of LED Light Sources,” in Solid State Lighting II: Proceedings of SPIE(2002).
  9. T. Tarczali, P. Bodrogi, and J. Schanda, “Colour Rendering Properties of LED Sources,” in CIE 2nd LED Measurement Symposium(Gaithersburg, 2001).
  10. CIE, “TC 1-62: Colour Rendering of White LED Light Sources,” in CIE 177:2007(CIE, Vienna, Austria, 2007).
  11. J. D. Bullough, “Research matters: Color rendering - a CRIing game?” Lighting Design and Application 35, 16–18 (2005).
  12. D. B. Judd, “A flattery index for artificial illuminants,” Illum. Eng. 62, 593–598 (1967).
  13. W. A. Thornton, “A validation of the color preference index,” Illum. Eng. 62, 191–194 (1972).
  14. W. Davis and Y. Ohno, “Color quality scale,” Opt. Eng. 49(3), 033602–033616 (2010). [CrossRef]
  15. A. Zukauskas, R. Vaicekauskas, F. Ivanauskas, H. Vaitkevicius, P. Vitta, and M. S. Shur, “Statistical Approach to Color Quality of Solid-State Lamps*,” IEEE J. Sel. Top. Quantum Electron. 15(6), 1753–1762 (2009). [CrossRef]
  16. M. S. Rea and J. P. Freyssinier-Nova, “Color rendering: A tale of two metrics,” Color Res. Appl. 33(3), 192–202 (2008). [CrossRef]
  17. F. Szabó, P. Bodrogi, and J. Schanda, “A colour harmony rendering index based on predictions of colour harmony impression,” Lighting Res. Tech. 41(2), 165–182 (2009). [CrossRef]
  18. K. Hashimoto, T. Yano, M. Shimizu, and Y. Nayatani, “New method for specifying color-rendering properties of light sources based on feeling of contrast,” Color Res. Appl. 32(5), 361–371 (2007). [CrossRef]
  19. K. Smet, W. R. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “Colour Appearance Rating of Familiar Real Objects,” Colour Research and Application DOI: 10.1002/col.20620 (2010).
  20. K. A. G. Smet, W. R. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “Memory colours and colour quality evaluation of conventional and solid-state lamps,” Opt. Express 18(25), 26229–26244 (2010). [CrossRef] [PubMed]
  21. Y. Ohno, “Spectral design considerations for white LED color rendering,” Opt. Eng. 44(11), 111302 (2005). [CrossRef]
  22. K. Smet, W. R. Ryckaert, G. Deconinck, and P. Hanselaer, “Colour rendering of white light sources: visual experiments on preference, fidelity, vividness, naturalness & attractiveness.,” in 2nd CIE Expert Symposium: When Appearance meets lighting ...(Ghent, 2010).
  23. K. Smet, S. Jost-Boissard, W. R. Ryckaert, G. Deconinck, and P. Hanselaer, “Validation of a colour rendering index based on memory colours,” in CIE Lighting Quality & Energy Efficiency(CIE, Vienna, 2010), pp. 136–142.
  24. F. Ebner, and M. D. Fairchild, “Development and testing of a color space (IPT) with improved hue uniformity,” in IS&T 6th Color Imaging Conference(Scottsdale, Arizona, USA, 1998), pp. 8–13.
  25. A. Keppens, W. R. Ryckaert, G. Deconinck, and P. Hanselaer, “Modeling high-power light-emitting diode spectra and their variation withjunction temperature,” J. Appl. Phys. 108(4), 043104 (2010). [CrossRef]
  26. A. Keppens, “Modelling and evaluation of high-power light-emitting diodes for general lighting,” K.U.Leuven University Press, Leuven, pp. 154–155, 2010.,” in Faculty of Engineering, ESAT/ELECTA(K.U.Leuven, Leuven, 2010), p. 234.
  27. C. A. C. Coello, and G. B. Lamont, “Chapter 1: An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications ” in Applications of Multi-Objective Evolutionary Algorithms, C. A. C. Coello, and G. B. Lamont, eds. (World Scientific, Singapore, 2004).
  28. A. Konak, D. Coit, and A. Smith, “Multi-objective optimization using genetic algorithms: A tutorial,” Special. Issue. – Genetic. Algorithms and Reliability 91, 992–1007 (2006).
  29. E. Hamidreza and D. G. Christopher, “A fast Pareto genetic algorithm approach for solving expensive multiobjective optimization problems,” J. Heuristics 14(3), 203–241 (2008). [CrossRef]
  30. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, “A fast and elitist multiobjective genetic algorithm: NSGA-II,” IEEE Trans. Evolutionary Computation 6(2), 182–197 (2002). [CrossRef]
  31. W. A. Thornton, “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(2), 139–156 (1999). [CrossRef]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

Figures

Fig. 1 Fig. 2 Fig. 3
 

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited