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Optimization of Multiband White-Light Illuminants for Specified Color Temperatures
Author(s) -
Snjezana Soltic,
Andrew N. Chalmers
Publication year - 2015
Publication title -
advances in optoelectronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.118
H-Index - 21
eISSN - 1687-5648
pISSN - 1687-563X
DOI - 10.1155/2015/263791
Subject(s) - standard illuminant , color rendering index , rendering (computer graphics) , color difference , color temperature , optics , color balance , spectral color , color vision , luminous efficacy , primary color , spectral line , artificial intelligence , mathematics , color space , white light , computer science , physics , materials science , color model , color image , image processing , enhanced data rates for gsm evolution , layer (electronics) , composite material , astronomy , image (mathematics)
This paper describes an effective approach for the optimization of multiband spectra to produce prospective white-light spectra having specific color temperatures. The optimization process employs a genetic algorithm known as differential evolution, which aims to minimize the color rendering differences between a prospective white-light spectrum and its corresponding reference illuminant. Color rendering is assessed by calculating the CIEDE2000 color difference (ΔE00) for 14 CIE test colors under the two sources. Optimized white-light spectra were matched to three CIE standard illuminants, that is, A (2856 K), D50 (5003 K), and D65 (6504 K). Optimal solutions for three- and four-band 25 and 50 nm Gaussian spectra are presented and analyzed, together with mixed 4-LED spectra that were optimized in the same way. In all cases, the simulated sources were shown to provide color rendering of such quality that ΔE00av ≤ 2.24 units. Such white-light sources would likely find wide acceptance in numerous lighting applications

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