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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。
In order to improve the liquid crystal display (LCD) color characterization accuracy, according to the characteristics of liquid crystal display color constant and poor channel independence, the proposed sub-sub-space model. The model firstly uses the piecewise quadratic polynomial to fit the relationship between the single-channel driving value and the tristimulus value, and then the liquid crystal display is color-characterized according to the color characteristics of different RGB subspaces with the appropriate interference term. The experimental results show that the average color difference of CIELAB is 1.5881 and the maximum color difference is 6.0249 when the training samples and test samples are 91 and 512, respectively. Compared with the three-dimensional look-up table, Mask, S-Curve and TPC models The results show that when the number of training samples is small, the color prediction accuracy of the subsectional subspace model is the highest.