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How Smart LEDs Lighting Benefit Color Temperature and Luminosity Transformation

Author

Listed:
  • Yu-Sheng Huang

    (Graduate Institute of Opto-Mechatronics, National Chung Cheng University, 168 University Rd., Min-Hsiung, Chia-Yi 62102, Taiwan)

  • Wei-Cheng Luo

    (Graduate Institute of Opto-Mechatronics, National Chung Cheng University, 168 University Rd., Min-Hsiung, Chia-Yi 62102, Taiwan)

  • Hsiang-Chen Wang

    (Graduate Institute of Opto-Mechatronics, National Chung Cheng University, 168 University Rd., Min-Hsiung, Chia-Yi 62102, Taiwan)

  • Shih-Wei Feng

    (Department of Applied Physics, National University of Kaohsiung, 700 Kaohsiung University Rd., Nanzih District, Kaohsiung 81148, Taiwan)

  • Chie-Tong Kuo

    (Department of Physics, National Sun Yat-sen University, 70 Lienhai Rd., Kaohsiung 80424, Taiwan)

  • Chia-Mei Lu

    (Department of Digital Multimedia Design, Cheng Shiu University, 840 Chengcing Rd., Niaosong District, Kaohsiung 83347, Taiwan)

Abstract

Luminosity and correlated color temperature (CCT) have gradually become two of the most important factors in the evaluation of the performance of light sources. However, although most color performance evaluation metrics are highly correlated with CCT, these metrics often do not account for light sources with different CCTs. This paper proposes the existence of a relationship between luminosity and CCT to remove the effects of CCT and to allow for a fairer judgment of light sources under the current color performance evaluation metrics. This paper utilizes the Hyper-Spectral Imaging (HSI) technique to recreate images of a standard color checker under different luminosities, CCT, and light sources. The images are then analyzed and transformed into interpolation figures and equal color difference curves. This paper utilizes statistic tools and symmetry properties to determine an exponential relationship between luminosity and CCT in red-green-blue (RGB) LED and OLED light sources. Such a relationship presents an option to remove the effects of CCT in color evaluation standards, as well as provide a guide line for adjusting visual experience solely by adjusting luminosity when creating a lighting system.

Suggested Citation

  • Yu-Sheng Huang & Wei-Cheng Luo & Hsiang-Chen Wang & Shih-Wei Feng & Chie-Tong Kuo & Chia-Mei Lu, 2017. "How Smart LEDs Lighting Benefit Color Temperature and Luminosity Transformation," Energies, MDPI, vol. 10(4), pages 1-13, April.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:518-:d:95489
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    Citations

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    Cited by:

    1. Roman Sikora & Przemysław Markiewicz, 2020. "Assessment of Colorimetric Parameters for HPS Lamp with Electromagnetic Control Gear and Electronic Ballast," Energies, MDPI, vol. 13(11), pages 1-21, June.
    2. Andreas Papalambrou & Lambros T. Doulos, 2019. "Identifying, Examining, and Planning Areas Protected from Light Pollution. The Case Study of Planning the First National Dark Sky Park in Greece," Sustainability, MDPI, vol. 11(21), pages 1-24, October.
    3. Xiao Dou & Chih-Fu Wu & Kai-Chieh Lin & Jeih-Jang Liou, 2019. "What Color Does the Consumer See? Perceived Color Differences in Plastic Products in an LED-Lit Environment," Sustainability, MDPI, vol. 11(21), pages 1-15, October.
    4. Krzysztof Baran & Antoni Różowicz & Henryk Wachta & Sebastian Różowicz, 2020. "Modeling of Selected Lighting Parameters of LED Panel," Energies, MDPI, vol. 13(14), pages 1-22, July.
    5. Sewon Lee & Kyung Sun Lee, 2019. "A Study on the Improvement of the Evaluation Scale of Discomfort Glare in Educational Facilities," Energies, MDPI, vol. 12(17), pages 1-21, August.
    6. Zhi Ting Ye & Chin Lung Chen & Lung-Chien Chen & Ching Ho Tien & Hong Thai Nguyen & Hsiang-Chen Wang, 2019. "Hollow Light Guide Module Involving Mini Light-Emitting Diodes for Asymmetric Luminous Planar Illuminators," Energies, MDPI, vol. 12(14), pages 1-12, July.

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