An Improved Reflectance Prediction Model for Halftone Printing Dot Based on Monte Carlo Method

Abstract

The improved reflectance prediction model for printing dot was established with the Monte Carlo method. Reflectance model is a useful approach to predict and control printing quality, which was widely used in color duplication field. The Monte Carlo prediction model for printing dot is a simulation model, satisfying industrial virtual reality needs, which could simulate reflectance data as well as dot shape image. This paper mainly focuses on improving the existing reflectance model for printing dot with simulation program, expanding dot simulation area from one single dot to nine dots. The results showed that the reflectance value closely approached the measured value with high dot area in particular and the correlation coefficient improved to 0.924. 100,000 times was shown to be the optimal number of simulated photon under regular printing condition. The expanding simulation area could significantly eliminate interactive influence among the dots. The photon distribution and dot shape could be sufficiently simulated through this model, providing a reference for quality control. The results indicate that the improved reflectance model increased the reflectance accuracy and could further promote optical study about color duplication.