Acta Photonica Sinica, Volume. 39, Issue 11, 2055(2010)
Infrared Background Prediction Algorithm Based on Cerebellar Model Articulation Controller
In order to predict the spectral reflectance of rectoverso 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 rectoverso halftone images is proposed. Based on the assumption that the colorant is nonscattering, the paper is strong scattering substrate and both the colorant and ink have the same reflective index, the light along oblique path from the WilliamsClapper model is introduced for taking into account ink spreading. By the multiple internal reflections between the paper substrate and the printair interface of light, a phenomenon occurs when printing an ink halftone in superposition with one or several solid inks. The inkspreading model includes nominaltoeffective 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 rectoverso halftone images and the development of prints quality detection system.
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ZHAO Cuifang, SHI Caicheng, ZHANG Changjiang, WANG Xiaodong. Infrared Background Prediction Algorithm Based on Cerebellar Model Articulation Controller[J]. Acta Photonica Sinica, 2010, 39(11): 2055
Received: Feb. 26, 2010
Accepted: --
Published Online: Dec. 7, 2010
The Author Email: Cuifang ZHAO (xx98@zjnu.cn)
CSTR:32186.14.