文章摘要
田全慧,刘真,张建青,刘士伟.基于波长分区的半色调色光谱估算模型[J].包装工程,2016,37(23):176-180.
TIAN Quan-hui,LIU Zhen,ZHANG Jian-qing,LIU Shi-wei.Spectral Piecewise Partition Model(SPPM) for Predicting Halftone Printing Color[J].Packaging Engineering,2016,37(23):176-180.
基于波长分区的半色调色光谱估算模型
Spectral Piecewise Partition Model(SPPM) for Predicting Halftone Printing Color
投稿时间:2016-05-16  修订日期:2016-12-10
DOI:
中文关键词: 光谱估算  光谱分区  半色调  打印机特征化
英文关键词: spectrum estimation  spectrumpartition  halftone  printer characterization
基金项目:上海理工大学科技项目(16KJFZ017);上海市教委创新项目(13YZ149)
作者单位
田全慧 1.上海理工大学上海 2000932.上海出版印刷高等专科学校上海 200093 
刘真 上海理工大学上海 200093 
张建青 上海理工大学上海 200093 
刘士伟 上海理工大学上海 200093 
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中文摘要:
      目的 研究半色调打印色的光谱呈色特性,为半色调打印色的光谱复制提供估算模型。方法 分析不同阶调值的半色调打印色的光谱反射曲线特性,根据半色调打印色的光谱微分找出特征波段,并进行波长分区。在不同的波长分区分别使用网点增大补偿与多项式算法估算半色调打印机的光谱反射率。结果 提出的半色调光谱估算算法估算的光谱与实际测量的sRMS最大值为0.02,对应的估算色与测量色的平均色差小于1.5ΔE76。结论 使用波长分区的光谱估算模型可提高半色调复制色的光谱估算精度,半色调彩色输出设备的光谱特征化可以使用文中的估算模型作为正向特征化模型。
英文摘要:
      The work aims to study the spectral coloring characteristics of the halftone printing color so as to provide estimation model for the reproduction of spectrum of halftone printing color. The spectral reflection curve’s characteristics of halftone printing color of different tone values were analyzed. The characterized bands were found out according to spectral derivative of halftone printing color and then wave-length partition was carried out. Dot gain compensation and polynomial algorithm in various wave-length partitions were respectively used to estimate the spectral reflectance of halftone printer. The maximum of spectrum estimated with the halftone spectrum estimation algorithm proposed and the measured sRMS was 0.02. The average color difference between the corresponding estimated color and measured color was less than 1.5ΔE76. The accuracy of spectral estimation of halftone reproduction color can be improved with spectrum estimation model of wave-length partition. The spectral characterization of halftone colorful output device can use the estimation model herein as the forward characterization model.
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