Predicting Ink Thickness Vairations By The Color Prediction Model Of Pirnts

With the rapid development of the printing industry, color printing is moving towardsstandardization, automation, so printing quality is required in a step by step to improve. Inkthickness is an important parameter for the quality control of the printing. Too thick or toothin of the ink layer may have a direct effect on presswork product quality and influence inkflow. So in order to complete the printing color reproduction and the reproduction accurately,it is important to control the ink thickness variations conscientiously.The article researches and establishes the ink thickness changes Clapper-Yule spectralreflectance model optimized by the least squares regression theory printed in fluorescentsubstrate which based on fluorescent Clapper-Yule spectral prediction model and inkthickness varies deduced by the transmittance of the ink. And it takes the fluorescent substratecontaining fluorescent and ink expansion and other factors into account.In the study, we first extend the fluorescent Clapper-Yule spectral prediction model forfluorescent Clapper-Yule spectral prediction model of ink thickness varies through therelationship of overprint ink transmittance function, ink thickness and the conversion offluorescence and visible light in fluorescent substrate. Then we get initial ink thickness by themodel, and incorporate a multiplicative factor which is used thickness varies (increase ordecrease)for each ink thickness. At last, use the least square method to impress the inkthickness varies by minimizing a difference metric between the predicted reflection spectrumand measured reflection spectrum. In addition, we simulation experiment to show thevalidity of the conclusions of the paper. In the experiment, we do some measurements for a lotof colors to prove the correct of article by changing ink flow to impress ink thickness varies.While measuring some data by a series of color and drawing some graphics by computersoftware, then we verify the correctness of the conclusions.We draw the correct conclusionsby compare the difference of the color which is calculated by measured and predicted thespectral reflectance.