Comparative study on colorimetric characterization of LCD based on polynomial

Tong Li; Kai Xie; Hongtai Guo; Zixuan Li; Qi Zheng

doi:10.1117/12.2539459

14 February 2020 Comparative study on colorimetric characterization of LCD based on polynomial

Tong Li, Kai Xie, Hongtai Guo, Zixuan Li, Qi Zheng

Proceedings Volume 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 114321F (2020) https://doi.org/10.1117/12.2539459
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

LCD is a common display device. Due to the device dependence in color space, it is necessary to characterize LCD. In this paper, polynomial regression method is used to establish the color conversion model from RGB to CIEXYZ for colorimetric characterization of LCD, and black point correction is added to solve different polynomial parameters and compare the color difference. In the experiment, 17 groups of training samples were selected to solve the parameters and 200 groups of random test samples were used to verify the accuracy of the model. The experimental results show that the cubic polynomial curve model has the highest accuracy and the maximum chromatic aberration is 4.2962, which achieves better display effect.

Citation Download Citation

Tong Li, Kai Xie, Hongtai Guo, Zixuan Li, and Qi Zheng "Comparative study on colorimetric characterization of LCD based on polynomial", Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 114321F (14 February 2020); https://doi.org/10.1117/12.2539459

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