Acta Optica Sinica, Volume. 44, Issue 20, 2033001(2024)
Color Prediction Model of Multi-Channel LED Light Sources
Figures & Tables(10)
Fig. 1. Relative spectral power distribution of the individual channels of the tested multi-channel LED light source MC-LED 1
Fig. 2. Relative spectral power distribution of the individual channels of the tested multi-channel LED light source MC-LED 2
Fig. 3. Channel response properties of the tested multi-channel LED light sources. (a) MC-LED 1; (b) MC-LED 2
Fig. 4. CIE 1976 UCS chromaticity coordinate (u′, v′) distributions of the individual channels in the tested multi-channel LED light sources. (a) MC-LED 1; (b) MC-LED 2
Table 1. Optical characteristics of the tested multi-channel LED light sources
View tableTable 1. Optical characteristics of the tested multi-channel LED light sources
Tested light source Channel 1 Channel 2 Channel 3 Channel 4 Channel 5 Channel 6 Channel 7 MC-LED 1 7500 K 447 nm 519 nm 635 nm MC-LED 2 4700 K 421 nm 472 nm 525 nm 595 nm 660 nm 706 nm
Table 2. Characterization accuracy comparison of the polynomials with different orders
View tableTable 2. Characterization accuracy comparison of the polynomials with different orders
Tested light source Channel Tristimulus value Precision of 2nd order /% Precision of 3rd order /% Precision of 4th order /% MC-LED 1 7500 K Y 16.61 1.54 1.29 447 nm Z 16.96 1.61 1.34 519 nm Y 16.94 1.76 1.40 635 nm X 16.35 1.60 1.14 MC-LED 2 4700 K Y 0.25 0.09 0.08 421 nm Z 0.76 0.60 0.44 472 nm Z 0.26 0.26 0.20 525 nm Y 1.92 1.20 0.76 595 nm X 0.29 0.12 0.07 660 nm X 0.08 0.07 0.07 706 nm X 0.78 0.45 0.32
Table 3. Chromaticity variation of each channel in the tested multi-channel LED light sources (CIE 1976 UCS chromaticity difference)
View tableTable 3. Chromaticity variation of each channel in the tested multi-channel LED light sources (CIE 1976 UCS chromaticity difference)
Tested light source Channel 1 Channel 2 Channel 3 Channel 4 Channel 5 Channel 6 Channel 7 MC-LED 1 0.86×10-3 7.13×10-3 3.42×10-3 9.83×10-3 MC-LED 2 4.88×10-3 1.22×10-3 60.38×10-3 12.03×10-3 8.21×10-3 0.42×10-3 4.08×10-3
Table 4. Prediction accuracy comparison between linear model and the proposed color prediction model
View tableTable 4. Prediction accuracy comparison between linear model and the proposed color prediction model
Tested light source ΔLv /% Δu′，v′ /10-3 Mean Maximum Minimum Mean Maximum Minimum MC-LED 1 Linear 107.08 468.38 10.91 50.07 132.21 4.48 Proposed 2nd 3.49 37.56 0.01 7.25 52.80 0.81 3rd 1.13 2.82 0.07 0.99 3.57 0.09 4th 1.12 2.57 0.14 0.92 3.05 0.02 MC-LED 2 Linear 9.01 23.63 0.73 8.44 24.13 0.30 Proposed 2nd 1.17 5.45 0.05 0.89 5.14 0.04 3rd 1.18 2.98 0.36 0.81 2.77 0.09 4th 1.21 2.83 0.39 0.74 2.48 0.08
Table 5. Polynomial coefficients of the channel response property characterization model for the tested multi-channel LED light sources
View tableTable 5. Polynomial coefficients of the channel response property characterization model for the tested multi-channel LED light sources
Tested light source Channel p0 p1 p2 p3 MC-LED 1 7500 K 0.0117 6.0546×10-4 3.3682×10-6 6.2948×10-9 447 nm 0.0622 2.7×10-3 1.6274×10-5 3.0125×10-8 519 nm 0.0136 5.1317×10-4 3.1992×10-6 5.9268×10-9 635 nm 0.0208 8.7847×10-4 5.2027×10-6 9.3655×10-9 MC-LED 2 4700 K -0.1840 0.4574 -8.3531×10-5 1.6355×10-8 421 nm 2.4381 0.5917 -1.6277×10-4 5.8589×10-8 472 nm -0.6552 0.3993 -4.2920×10-5 -7.7270×10-9 525 nm 1.7555 0.2219 -1.5717×10-4 6.2543×10-8 595 nm -0.0338 0.0648 -1.8347×10-5 -2.4282×10-9 660 nm -0.0153 0.0747 -8.5314×10-6 2.3034×10-10 706 nm -0.0094 0.0035 2.5083×10-7 -5.4242×10-10
Table 6. Prediction accuracy of channel additive models
View tableTable 6. Prediction accuracy of channel additive models
Tested light source ΔLv /% Δu′，v′ /10-3 Mean Maximum Minimum Mean Maximum Minimum MC-LED 1 1.12 2.92 0.21 1.14 2.78 0.18 MC-LED 2 0.65 0.83 0.40 0.39 0.69 0.23
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Fuzheng Zhang, Shiqi Sun, Hongda Lu, Suixian Li. Color Prediction Model of Multi-Channel LED Light Sources[J]. Acta Optica Sinica, 2024, 44(20): 2033001
Paper Information
Category: Vision, Color, and Visual Optics
Received: Feb. 28, 2024
Accepted: May. 28, 2024
Published Online: Oct. 12, 2024
The Author Email: Fuzheng Zhang (zh-fuzheng@163.com)
CSTR:32393.14.AOS240667
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