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The Kubelka-Munk Color Prediction Model Of Fluorescence Prints

Posted on:2010-10-16Degree:MasterType:Thesis
Country:ChinaCandidate:N DongFull Text:PDF
GTID:2132360278974904Subject:Printing Engineering and Media Technology
Abstract/Summary:PDF Full Text Request
The fluorescent color prediction of the fluorescent prints is an important means of controlling the anti-counterfeit quality and enhancing the anti-counterfeit quality of the prints, so it is an important problem to establish a fluorescent color model controlling the quality of fluorescent ink prints in the anti-counterfeit region. The present study aims at predicting the spectral reflection of fluorescent ink halftone based on Kubelka-Munk which is a uniform samples and finding the parameters which can adjust the color difference. It is an emphasis to analysis the two parts of light which is reflected by the fluorescent prints: ultraviolet light and visible light. The quantum of the visible light depends on the ultraviolet to some extent. Considering the difference between the ink area and non-ink area, this article establishes a color model of the halftone fluorescent prints and adjusts it for the multiple reflection phenomenon. Because of the fact that the proportionally of incident light through a ink surface reflected onto the ink surface is more than onto the non-ink surface, we study it using the scattering probability model because of the exchange of the photon by experience probability model. Thus the reflecting law of light in fluorescent ink halftone prints is presented and the parameters which can adjust the color difference is given. So the new Kubelka-Munk model is modeled and computed by relation software with a theoretical method and the rationality of models are analyzed from the angle of theory,The new model provides a theoretical method to develop on-line quality detector, printing color management system, ink auto-control system of printing press and so on.
Keywords/Search Tags:Kubelka-Munk, color prediction, fluorescent print, ink, experience probability model
PDF Full Text Request
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