Color Space Conversion Technology and Comparative Research
Authors: 
Guangwu Lv, Peng CaoAuthors Info & Claims
Guangwu Lv, Peng CaoAuthors Info & ClaimsPages 115 - 118
Abstract
Color space conversion is a key technology in the process of printing color reproduction, and its results affect the quality and level of color reproduction of color printed images directly. This paper studies the main color space conversion technologies in this field, and comparatively analyzes their respective advantages and disadvantages. On this basis, for the different conversion methods of printing color space, the basic conversion principles and experimental methods are given. Through simulation, experiment and theoretical comparison analysis, it is shown that the polynomial regression algorithm has relatively more advantages in the accuracy and stability of printing color reproduction. This research has a reference value on how to better apply color space conversion technology in color printing to achieve high-precision printing color reproduction.
References
[1]
Rhodes W . 1990. Fifty Years of the Neugebauer Equations[J]. Proceedings of SPIE - The International Society for Optical Engineering, 1990, 1184: 7-18.
[2]
Mahy M, Delabastita P . 1996, Inversion of the Neugebauer Equations[J]. Color Research and Application, 1996, 21(6): 404-411.
[3]
Sun B, Liu H, Zhou S, 2015. Modified Spectral Neugebauer Model for Printer Characterization[J]. Spectroscopy Letters: An International Journal for Rapid Communication, 2015, 48(9): 660-668.
[4]
Zhi C, Zhou S S. 2008. Research on Color Space Transformation Model between RGB and L*a*b* Based on BP Neural Network[C]// Computer Science and Software Engineering, Wuhan, 2008: 306- 308.
[5]
Tominaga S. 1996. Color Control Using Neural Networks and Its Application[J]. Proceedings of SPIE - The International Society for Optical Engineering, 1996: 253- 260.
[6]
Li Y B, Zhang X Y, Ma J G, 2005. Study of Improving Algorithms Based on the BP Neural Network[J]. Journal of Hef University of Technology, 2005, 28(6): 668- 671.
[7]
YangY, Chen C. 2011. Research on Color Space Conversion Method of Digital Camera Based on Neural Network[J]. Research on Printing and Packaging in China, 2011, 03(5): 40- 45.
[8]
Sun B, Cao C J,et al. 2011. A Method of Obtaining Gray Balance Data Based on Polynomial Regression[J]. Advanced Materials Research, 2011, 1215(426): 643-646.
[9]
Yang H F, Yi Y H, Liu J H, 2015. Research on Multi-color Separation Model Based on Polynomial Regression[J]. Applied Mechanics and Materials, 2015, 3784(1462): 27-31.
[10]
Wang H, CHEN X N, Jiang M Y. 2014. Research on Color Reproduction Technology of Color Image Display System[J]. Computer Engineering and Applications, 2014, (4): 200-202.
[11]
Li N, Li X D. 2017. Analysis of the Application Accuracy of Different Interpolation Algorithms in Digital Proofing Color Management[J]. Printing Quality and Standardization, 2017, (5): 8-13.
Recommendations
Reproducing color images as duotones
SIGGRAPH '96: Proceedings of the 23rd annual conference on Computer graphics and interactive techniquesA method of dynamic skin color correction applied to display devices
The ability of the color reproduction is the main criterion which is used for assessing the image quality in display devices. The skin color becomes the primary research object because it occupies relatively large area in the video signals. Therefore, a ...
Color changing effects with anisotropic halftone prints on metal
We propose a color reproduction framework for creating specularly reflecting color images printed on a metallic substrate that change hue or chroma upon in-plane rotation by 90°. This framework is based on the anisotropic dot gain of line halftones when ...
Comments
Information & Contributors
Information
Published In
December 2020
266 pages
ISBN:9781450388559
DOI:10.1145/3446999
Copyright © 2020 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 09 April 2021
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- School-level research project of Beijing Institute of Graphic Communication
- Beijing Fund-Municipal Education Commission Joint Project
- General Program of National Natural Science Foundation of China
Conference
ICIT 2020
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 54Total Downloads
- Downloads (Last 12 months)11
- Downloads (Last 6 weeks)1
Reflects downloads up to 03 Mar 2025
Other Metrics
Citations
Cited By
View allView Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format