Colorimetric density method for color space conversion of color printer

XU Yan-fang; LIU Wen-yao

doi:null

您当前的位置：

首页 >

文章列表页 >

Colorimetric density method for color space conversion of color printer

更新时间：2020-08-12

- Colorimetric density method for color space conversion of color printer
- Optics and Precision Engineering Vol. 12, Issue 3, Pages: 265-269(2004)
- 作者机构：
  
  天津大学, 精密仪器与光电子工程学院, 光电信息技术科学教育部重点实验室天津,300072
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP334.84;O432.3
- Received：14 January 2004，
  
  Revised：17 February 2004，
  
  Published Online：15 June 2004，
  
  Published：15 June 2004
- 稿件说明：
移动端阅览
徐艳芳, 刘文耀. 彩色打印机色空间变换的色度密度方法[J]. 光学精密工程, 2004,(3): 265-269

XU Yan-fang, LIU Wen-yao. Colorimetric density method for color space conversion of color printer[J]. Editorial Office of Optics and Precision Engineering, 2004,(3): 265-269
徐艳芳, 刘文耀. 彩色打印机色空间变换的色度密度方法[J]. 光学精密工程, 2004,(3): 265-269 DOI：

XU Yan-fang, LIU Wen-yao. Colorimetric density method for color space conversion of color printer[J]. Editorial Office of Optics and Precision Engineering, 2004,(3): 265-269 DOI：

摘要

提出了一种用于彩色打印机色空间变换的方法.基于输出色彩单色色度特性与数字驱动值以及复色与单色色度特性之间存在着一维和三维的特征关系

通过色度密度的概念及神经网络方法将此特征关系定量化

由此建立了输出色度色空间与输入数字色空间之间的变换关系.采用729组训练数据的实验结果表明

该色度密度方法达到的变换精度高于一些直接建立输出输入关系的方法.喷墨打印系统的实验结果表明

输出CIELAB色度平均和最大色差分别为3.18和16.0;260组泛化测试CIELAB色度平均和最大色差分别为4.00和16.8.

Abstract

A new method is proposed for color space conversion of color printers. Based on the concept of colorimetric density and artificial neural network

the one-dimension relationship between colorimetric characteristics of primary colors and printing data and the three-dimension colorimetric relationship between complex colors and primary colors were established together with the relationship between the two color spaces

output colorimetric space and input data space. Experiments were made with 729 samples and the experimental results showed that the conversion accuracy of this method is higher than those of some other methods

which build direct relationship between output and input. For one printer

the mean and maximal CIELAB c.d.(color difference)of 729 samples are 3.18 and 16.0

respectively

and these of 260 test samples are 4.00 and 16.8.

关键词

Keywords

references

AMIDROR I S, ROGER D. Neugebauer and demichei: dependence and independence in n-screen superpositions for colour printing[J]. Color Research and Application, 2000, 25(4):267-277.

周世生,高等色彩学[M].北京:印刷工业出版社,1997.ZHOU SH SH, Advanced chromatics[M]. Beijing: Printing Industry Publishing House, 1997.(in Chinese)

XIA M, SABER E, TEKALP A M. End-to-end color printer calibration by total least squares regression[J].IEEE Transactions on Image Processing, 1999,8(5):700-716.

VRHEL M J, TRUSSELL H J. Color printer characterization in MATLAB [C]. IEEE International Conference on Image Processing, 2002. 457-460.

SHIRO U, YOSHIFUMI A. Neural networks for device-independent digital color imaging[J]. Information Science, 2000, 123(1-2):115-125.

JOHNSON T. Methods for characterizing color printers[J]. Displays, 1996,16(4):193-202.

徐艳芳,刘文耀.彩色扫描仪的特征化[J].光学精密工程,2004,12(1):15-20.XU Y F, LIU W Y, Color scanner characterization[J]. Optics and Precision Engineering, 2004,12(1): 15-20.(in Chinese)

LEE E, AHN S. Color space conversion via gamut-based color samples of printer[J]. Journal of Imaging Science and Technology, 2001, 45(5):427-435.

Views

548

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Characterization of color scanners

Atrous convolution and Bilateral grid network

Related Author

XU Yan-fang

LIU Wen-yao

ZUO Kun-long

ZHU Hao

ZHANG Jingjing

DU Xingzhuo

ZHI Shuai

DING Guopeng

Related Institution

Key Laboratory of Optoeletronic Inf ormation Technical Science Tianjin University, Ministry of Education, College of Precision Instruments and Optoelectronics Engineering, Tianjin University

School of Automation， China University of Geosciences

Hubei Provincial Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Engineering Research Center of Earth Exploration Intelligent Technology， Ministry of Education

Innovation Academy for Microsatellites of Chinese Academy of Sciences

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰