基于Clapper-Yule模型的打印机特征化方法研究

Research on the Spectral Characterization Method of the Printer Based on Clapper-Yule Model

为了满足高精度颜色复制的需求,解决传统颜色复制中存在的同色异谱问题,本研究提出基于光谱颜色复制的打印机特征化方法,以特定的网点面积率驱动打印机输出,实现颜色的光谱匹配,同时考虑到光谱预测模型的物理意义和预测精度,对Clapper-Yule模型进行分程改进以及对参数r_i,r_s和b值进行优化,并结合基于线性回归的最小二乘法的网点增大曲线以及油墨铺展曲线对其进行修正,获得精度较高的打印机特征化正向模型,并借助基于序列二次规划的最优化算法,对优化后的Clapper-Yule模型进行反转,实现打印机的光谱特征化。实验数据表明,本研究提出的打印机特征化正向模型及反向模型都具有理想的色度匹配精度及光谱匹配精度。

In order to meet the requirement of high precision color reproduction, reduce the phenomena of metamerism in the traditional reproduction, the spectral was used as the standard in the process of reproduction. In this study, the characterization method of the printer based on the spectral characteristics was put forward, and the spectral matching of color was realized by driving the printer to output the correct color dot area rate. Taking the physical meaning and the prediction precision of spectral prediction model into account, by using certain multidimensional improvement and parameter optimization, combined the dot enlargement curve correction and ink spreading curve correction with least-squares method based on linear regression, the forward printer model with a high precision was obtained. Finally, by means of the optimization algorithm based on sequential quadratic programming, the optimized Clapper-Yule model was reversed and the spectral characteristics of the printer were realized. Experimental data showed that the forward model and inverse model can reach ideal precision of color matching and spectral matching precision.