Infrared background prediction algorithm based on cerebellar model articulation controller

In order to predict the spectral reflectance of recto-verso halftone images, the scattering of light within paper and the ink penetration in the substrate is considered and the color spectral reflectance precise prediction model for recto-verso halftone images is proposed. Based on the assumption that the colorant is non-scattering, the paper is strong scattering substrate and both the colorant and ink have the same reflective index, the light along oblique path from the Williams-Clapper model is introduced for taking into account ink spreading. By the multiple internal reflections between the paper substrate and the print-air interface of light, a phenomenon occurs when printing an ink halftone in superposition with one or several solid inks. The ink-spreading model includes nominal-to-effective dot area coverage functions for each of the different ink overprint conditions by the least square curve fitting method and the network structure of multiple reflections. The modeled and the measured colors agree very well, which confirms the validity of the used model, and provides a theoretical foundation for color prediction analysis of recto-verso halftone images and the development of prints quality detection system.