Color matching of ink-jet textile printing by inversion of forward characterization models using genetic algorithm

Abstract

In this study, the prediction of CMYK digital values and inversion of forward characterization models have been investigated using a genetic algorithm (GA). First, the forward characterization of the printer is performed and the optimum n-values in YNSN and spectral n-value models are obtained. The optimum n-values are used for the prediction of CMYK digital values, and the effective area coverages are obtained by GA. Then, the effective area coverages are converted in to CMYK digital values. The results show that the forward characterization of the printer by spectral n-value is better than others. Also, the best result of CMYK digital values prediction is obtained by GA using spectral n-value as the objective function. So, the quality of forward characterization model is one of the important factors in color matching by GA using inversion of the forward characterization models.