液晶显示器色度特征化的分空间补偿模型

Sub-Space Compensation Model for Accurate Colorimetric Characterization of Liquid Crystal Displays

由于液晶显示器不能完全满足通道独立性和色品恒定性而导致其色度特征化精度不高,故液晶显示器精确色度特征化模型的研究具有重要意义。将分空间处理的思想应用于对液晶显示器色度特征化精度较高的掩模(Masking)模型,提出了分空间补偿(SC)模型。该模型将RGB颜色空间分为8个子空间,基于不同子空间的相应训练样本,将掩模模型的预测三刺激值差值拟合成各通道驱动值的多项式函数,并对其三刺激值进行补偿。通过对四台液晶显示器色度特征化的实验测试表明,分空间补偿模型的最优平均预测色差分别为0.2783,0.3199,0.7090和1.2216CIELAB单位,验证了其颜色预测精度优于现有的相关色度特征化模型,且可以适用于各类液晶显示器。

The accurate colorimetric characterization of liquid crystal displays（LCDs） has many difficulties,such as channel interaction and non-constancy of channel chromaticity.Based on the well-performed masking model,a new colorimetric characterization method,namely,sub-space compensation model（SC model） concerning the advantages of the sub-space partition is proposed for LCDs.Firstly,the training data corresponding to different RGB subspaces should be measured,then the relationship between the prediction error of XYZ tristimulus values and the input drive data can be calculated using quadratic polynomial,so that the XYZ prediction error of masking model will be compensated.For the four tested LCDs,the experimental results show that the best mean prediction color differences of the SC model are 0.2783,0.3199,0.7090 and 1.2216 CIELAB unit,respectively,which verify that the prediction accuracy of SC model outperforms other conventional models,and that the new model can be applied to all kinds of LCDs.