液晶显示器颜色计算方法的探讨

显示器颜色的准确性是保证印刷质量的重要因素。对显示器进行色彩管理的主要任务就是计算显示的颜色,即确定RGB颜色控制数值与显示颜色的CIE色度值之间的转换关系。本文对EIZO、苹果和普通液晶显示器的颜色进行了测量,分别用增益-偏置-伽玛(GOG)模型、双通道干扰(TPC)模型和分段分空间(PP)模型进行显示颜色的计算,检验各模型的计算精度。实验中将RGB数值均匀分割为9个区间,总共组成729个检验颜色,将计算颜色与颜色测量值进行比较,分析GOG模型、TPC模型和PP模型对三种显示器计算的CIELAB色差,对计算结果进行分析,从而寻找对显示器颜色模型的改进方法。     

A multi-primary empirical model based on a quantum dots display technology

In this work, we built a multi-primary display model based on the new quantum dots (QD) technology to enlarge the display color gamut. In this way, first the emission spectral radiance curves of the three RGB channels of a commercial QD display were fitted to a four-parameter function. From this modeling, it is possible to gain new theoretical color primaries by selecting new spectral peaks (cyan, yellow, magenta, and/or additional RGB primaries) and imposing some colorimetric conditions for the resulting white of this proposed theoretical multi-primary display. Proper characterization to assess the performance of the display was conducted to know if the basic “gain-offset-gamma” (GOG) model can be used for direct and inverse color reproduction (from RGB to CIE-XYZ, and vice versa). The GOG model was found to well characterize this display. The spatial uniformity of the display was also evaluated in luminance and color chromaticity terms. Finally, with the primaries modeling and color characterization based on the GOG model, a 5-primary model (RGBYC) was tested. The evaluation of this theoretical RGBYC display model confirms the gamut enlargement, which can also improve goniochromatic color reproduction.     

液晶显示器颜色特征化的S模型算法

基于对液晶显示器的呈色机理的分析,提出了一种新颖的S-shape模型,并用其代替GOG(增益-偏置-伽马)模型来实现液晶显示器阶调复现曲线的精确拟合及液晶显示器颜色特征化精度的提高。为了检验改进算法的精度,分别用GOG模型和S模型来建立同一台液晶显示器的颜色空间变换,作为LCD颜色特征化的参照,GOG模型被用于来建立阴极射线管显示器的颜色特征化模型,并在设备的相关颜色空间,通过均匀取样选取7×7×7组颜色数据来检验这3种颜色空间映射实例的精度。实验结果表明,对于液晶显示器而言,基于S模型的颜色映射精度比GOG模型有明显提高,其平均色差/最大色差分别为1.825/4.731个CIEDE2000色差单位,与GOG模型应用于阴极射线管显示器的颜色特征化的精度相当。     

反应磁控溅射直接生长绒面结构ZnO:Al-TCO薄膜及其特性研究

利用反应磁控溅射技术,在玻璃衬底上直接生长获得了"弹坑状"绒面结构的ZnO:Al-TCO薄膜。通过梯度O2生长(GOG,gradual oxygen growth)方法改善ZnO薄膜的透过率和绒度特性,并且具有较好的电学性能。通过优化实验,GOG方法生长ZnO:Al薄膜(薄膜结构:11.0sccm/10R+9.5sccm/15R)的"弹坑状"特征尺寸为300～500nm,可见光范围透过率达到90%,方块电阻约为4.0Ω/□,电子迁移率为17.4cm2/V-1.s-1。大面积镀制的ZnO:Al具有良好的绒面结构和电学均匀性,可应用于光伏(PV)产业化推广应用。     

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.