Predicting the Colorimetric Performance of White LEDs Based on Gaussian Spectral Parameters

Zhi-Jia Yang

doi:https://doi.org/10.36463/idw.2023.0506

[FMCp3-10L] Predicting the Colorimetric Performance of White LEDs Based on Gaussian Spectral Parameters

*Zhi-Jia Yang¹, Pei-Li Sun¹ (1. National Taiwan University of Science and Technology (Taiwan))

White LED, spectral fitting, CCT, duv, color rendering index

https://doi.org/10.36463/idw.2023.0506

Polynomial regression models are proposed that can accurately predict the variation of colorimetric performance (such as luminous efficacy, CCT, duv, CRI and CFI) of white LEDs as a function of Gaussian spectral parameters. These models are useful for optimizing the white LED spectrum in optical design.

Proceedings of the International Display Workshops Volume 30 (IDW '23)

[FMCp3-10L] Predicting the Colorimetric Performance of White LEDs Based on Gaussian Spectral Parameters