Data Control Method for Printing Quality Based on Polynomial Regression

Abstract

With the progress of printing technology, the requirements for the quality of prints have been continuously improved. The objective quality control method based on measurement data is beginning to gradually replace the traditional subjective quality evaluation method. Now, the gray balance-based G7 printing quality control method and the TVI-based (tone value increase) PSO printing quality control method are two mainstream technologies in the printing industry, while both of them have advantages and disadvantages for the printing enterprises. For example, the disadvantages include too many controlling parameters and too complicated implementation processes. So through this study, the polynomial regression is used to fit the printing dot gain curve, and the coefficient of determination (R-Square) is introduced as an important evaluation parameter. The printing quality is controlled by the measurements from the solid patches with process inks and the 50% gray balance patch as well as the coefficient of determination. The experimental results show that the new method can simplify the traditional quality control method and greatly improve the printing production efficiency. It can also be the guidance in the actual printing process.