Optimal parameters based stochastic dot model for tone compensation of dither matrix

作     者：Su, Hai Liu, Juhua Yi, Yaohua Du, Bo 

作者机构：Wuhan Univ Sch Printing & Packaging Wuhan 430072 Peoples R China Wuhan Univ Sch Elect Informat Wuhan 430072 Peoples R China Wuhan Univ Sch Comp Wuhan 430072 Peoples R China Univ Technol Sydney Ctr Quantum Computat & Intelligent Syst Sydney NSW 2007 Australia 

出 版 物：《NEUROCOMPUTING》 (神经计算)

年 卷 期：2016年第187卷

页      面：98-108页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Key Technology R&D Program of the Ministry of Science and Technology of the People's Republica of China [2013BAH03B01] Special Project on the Integration of Industry, Education and Research of Guangdong Province of China [2012A090300017] China Postdoctoral Science Foundation [2015M582277] Fundamental Research Funds for the Central Universities of China [20420151cf0059] 

主　　题：Printer model Munsell value Optimal parameters Tone compensation 

摘      要：The image outputs of a laser printer are accompanied with nonlinear phenomena such as dot gains and losses. As a result, a laser printer model is necessary to suppress such nonlinear distortions. This paper proposes the optimal parameters based stochastic dot model (OPSDM) and applies it to the tone compensation of dither matrices. In the proposed model, Munsell value is taken as intermediate value and a conversion method for the printouts is established at first. Then, no printer model of printout result is measured, and recurrent parameters of model are modified to obtain the optimal parameters of the stochastic dot model of printer by calculating the minimum Munsell value error between the measure result and simulated result of model. Finally, the dither matrix thresholds are modified to make the simulated result of every gray level with dither matrix close to the given level. The results of experimental indicate that the modified dither matrix with proposed model can significantly restrain the influence of the nonlinear characteristics of printer. (C) 2015 Elsevier B.V. All rights reserved.