加权最小二乘法在液晶显示器颜色特性化中的应用

Application of Weighted Least Square Method in LCD Colorimetric Characterization

为了解决同一幅图像在不同显示器上得到不同的显示结果这一问题,需要对显示器进行颜色特性化。液晶显示器颜色特性化方法主要有查找表法、神经网络法和模型法。采用基于三次多项式的阶调曲线模型法来建立RGB颜色空间到CIEXYZ颜色空间的转换模型,进行单通道17组数据的采样,并采集了100组检验数据。用加权最小二乘法对模型进行求解,并对比不同权数对液晶显示器颜色特性化的影响。实验结果表明,该模型的平均色差为2.4742,最大色差为5.3927,满足液晶显示器颜色特性化中对精度的要求。

In order to solve the problem that the same image will display differently in the different displays,the displays need colorimetric characterization. Liquid crystal display（ LCD） colorimetric characterization mainly includes three methods,namely,LUT（ look up table）,neural network and model method. Conversion model from RGB color space to CIEXYZ color space using the tone curve model based on cubic polynomial is proposed. We sample the 17 groups of single channel training data and collect 100 groups of testing data.The weighted least square method is used to solve the model,and different weights are chosen to compare their influences on LCD colorimetric characterization. The average color difference of this model is 2.4742,the maximum of color difference is 5.3927 which can meet the accuracy needs of LCD colorimetric characterization.