High-density interpolation using in optimizing correlated color temperature calculation

Xipeng Qiu; Yingying Xu; Chi Chen; Wende Liu; Caihong Dai

doi:10.1117/12.2520542

12 March 2019 High-density interpolation using in optimizing correlated color temperature calculation

Xipeng Qiu, Yingying Xu, Chi Chen, Wende Liu, Caihong Dai

Author Affiliations +

Proceedings Volume 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application; 110230T (2019) https://doi.org/10.1117/12.2520542
Event: Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 2018, Xi'an, China

Abstract

The color temperature and the correlated color temperature are important parameters in optical radiation measurement. In practical application, it has been a general indicator in representing illuminant color and the quality of spectrum. Starting with the source spectrum, the method via comparison has high precision, as well as a complicated process. A simplified arithmetic is needed to guarantee the veracity. Analyzing the model preliminarily on the basis of iso-color temperature line parameter given by CIE 1931, a new model can be built according to spectral power distribution. It takes steps by color temperature directly on computer programming, aiming at increasing the density of iso-color temperature line and homogeneity, and then, calculating the impact to the uncertainty of the result. By comparing with the other classical methods, it proves that high density interpolation is a programming method on calculating CCT with lesser error and better performance.

Citation Download Citation

Xipeng Qiu, Yingying Xu, Chi Chen, Wende Liu, and Caihong Dai "High-density interpolation using in optimizing correlated color temperature calculation", Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 110230T (12 March 2019); https://doi.org/10.1117/12.2520542

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