摘要
提出了一种基于颜色相关性的特征色样筛选方法。首先利用特征色样色料分布(网点面积率)间的相关系数,从CMYKGO全色域采样生成的大量特征色样中,筛选出一部分具有相似网点面积率分布的特征色样,然后利用筛选后的最佳特征色样构建分色模型。新方法能够在不影响分色精度的前提下,有效减少特征色样的使用数量,且在暗调区域有效利用了所有色料通道,因此比传统的采样分色方法能够再现更大的色域。
A selection method of characteristic color samples based on color correlation was put forward. The color correlation factors between colorant amount distributions of characteristic color samples were used to select a part of color samples having similar colorant amount distributions from the massive characteristic color samples generated by the whole CMYKGO gamut sampling; the optimum color samples after selection were used to establish color separation model. On the premise of not influencing the color separation precision, the new method can reduce the number of characteristic color samples effectively, and all colorants in dark regions are efficiently used, so it can reappearance larger color gamut than conventional method.
出处
《包装工程》
CAS
CSCD
北大核心
2013年第9期71-75,130,共6页
Packaging Engineering
基金
2012年度河南省教育厅自然科学研究重点项目(12A510004)资助
2011年河南省科技厅科技攻关计划项目(112102210017)资助
2013年河南工程学院博士基金项目资助
关键词
特征色样
颜色相关性
分色模型
characteristic color samples
color correlation
color separation model
