【24h】

Verification of the Optimum Predicting Model for Dye-Based InkJet Printer

机译:基于染料的喷墨打印机最佳预测模型的验证

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

It is very important to fully understand the relationship between ink placed on paper and the resultant colorimetry for image quality improvement. Success will enable one to develop a simulation that can be used to design optimum subtractive color dyes for any criterion. The purpose of the present study is to establish a systematic understanding of color reproduction systems of the present-day subtractive color inkjet printer (IJ). In general, dyes used in formulating inks for current IJs have color gamuts larger than those obtained by pigments. The dye technology is advancing rapidly, and tools are needed to select an optimal dye set from among many potential dyes. In the present study, the predicting models such as the Neugebauer model, the Yule-Nielsen Neugebauer model, the Kubelka-Munk model, the Cellular Neugebauer model, and the Cellular Kubelka-Munk model built for use in photography and traditional printing systems have been verified for dye-based IJ. Furthermore the comparison between IJ and photography has been studied by means of a computer simulation method. The study has been carried out from the viewpoints of the stability of selective grays for illumination metamerism and of maximizing color gamut volumes. This study is an important step toward the development of simulations for use in improving image quality for the present-day subtractive color IJ.
机译:完全理解纸张上的墨水与所得色度之间的关系对于提高图像质量非常重要。成功将使人们能够开发出一种模拟,该模拟可用于针对任何标准设计最佳的减色染料。本研究的目的是建立对当今减色彩色喷墨打印机(IJ)的色彩复制系统的系统理解。通常,用于配制当前IJ的墨水的染料的色域大于通过颜料获得的色域。染料技术正在迅速发展,并且需要工具来从许多潜在的染料中选择最佳的染料组。在本研究中,已经建立了用于摄影和传统打印系统的预测模型,例如Neugebauer模型,Yule-Nielsen Neugebauer模型,Kubelka-Munk模型,Cellular Neugebauer模型和Cellular Kubelka-Munk模型。经验证可用于染料型IJ。此外,还通过计算机仿真方法研究了IJ和摄影之间的比较。已经从用于照明同色异谱的选择性灰度的稳定性和最大化色域体积的角度进行了研究。这项研究是开发用于改善当今减色IJ图像质量的仿真的重要一步。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号