显示器颜色特性化模型比较研究

为研究阴极射线管显示器颜色特性化方法，对分段线性插值（PLCC）、分段线性对数插值（PLGCC）和增益 偏置 伽玛（GOG）3种模型进行了分析比较.125个均匀分布于显示器色域内颜色样品被用于模型的评估，分析了3种模型的平均预测色差和效率，比较了模型的性能.实验结果表明，当每通道特性化数据个数为17时，PLCC模型的性能最好，GOG模型的性能最差.当个数下降到5时，GOG模型的性能最好，PLCC模型的性能最差.所有样品被分成7个色区.3个模型具有共同的趋势，在灰色区性能最差，而在绿色区性能最好.

Comparison study of display colorimetric characterization models

In order to study the colorimetric characterization methods for cathode ray tube display,three models of piecewise linear interpolation assuming constant chromaticity coordinates(PLCC),piecewise linear logarithmic interpolation assuming constant chromaticity coordinates(PLGCC) and gain-offset-gamma(GOG) were analyzed and compared.The model performance was assessed using 125 color samples uniformly distributed on the gamut of display.The mean predictive color differences and efficiencies of the three models were analyzed,and the performances were compared.The experimental results show that the performance of PLCC model is the best and that of GOG model is the worst when the number of data for characterization of each channel is 17,while GOG model is the best model and PLCC model is the worst when the number reduces to 5.All samples are separated into 7 color areas.The performance of the three models has a common tendency that the performance is the best in the green area and the worst in the neutral area.