液晶显示器颜色特征化的分段分空间模型

为了提高液晶显示器(LCD)颜色特征化精度,根据液晶显示器色品恒定性和通道独立性较差的特点,提出了分段分空间模型。该模型首先用分段二次多项式拟合单通道驱动值和三刺激值的关系,然后再根据不同RGB子空间的颜色特性加上适当的干扰项对液晶显示器进行颜色特征化。实验结果表明,在训练样本和检验样本数分别为91和512时分段分空间模型的CIELAB平均色差为1.5881,最大色差为6.0249;通过与三维查找表、Mask、S-Curve及TPC模型的比较研究,验证了当训练样本数不多时分段分空间模型的颜色预测精度最高。

Piecewise Partition Model for Accurate Colorimetric Characterization of Liquid Crystal Displays

In order to improve the accuracy of colorimetric characterization of liquid crystal display(LCD),a piecewise partition model(PP model) was proposed concerning the LCD's poor performance of constant channel chromaticity and channel independence.The model involved two steps,first the relationship between the tristimulus values and their corresponding discrete integer values of individual color channel was regressed by using of piecewise quadratic polynomial,and then the proper interferential items were inserted according to different RGB subspaces' color characteristics for colorimetric characterization of LCD.The experimental results showed that the average/maximum color differences of this PP model were 1.5881/6.0249 CIELAB unit when the numbers of training and testing samples were 91 and 512 respectively.Compared with the methods of three-dimensional look-up table(3D-LUT),Mask,S-curve and two-primary crosstalk(TPC) models,the PP model performed best for the case of less training samples.