Research on Color Characterization Model for Multi-Level and Multi-Color Printing System

Abstract:

Color characterization model for multi-color printing system has become one of the most important research content in high-fidelity reproduction techniques. But, none of the related research considered the effect of multi-level control on color characterization. A color characterization model for multi-level and multi-color printing system was presented based on cellular Yule-Nielson Spectral Neugebauer (CYNSN) model. In the model, multi-level dynamic cell division method based on ink coverage-lightness curve of each level was proposed. Shared regional correction and cell searching algorithm were introduced into backward characterization model establishment which improve the performance of backward model significantly. Finally, the experiments of color gamut discussion, forward model evaluation and backward model evaluation indicate that the characterization model expands the color gamut of printing system, in the meantime, guarantees high conversion accuracy.

• Periodical: Applied Mechanics and Materials (Volumes 433-435)
• Pages: 1025-1032
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.433-435.1025
• Online since: October 2013
• Authors: Sheng Wei Yang, Liang Lu, Ming Guang Wu, Zhen Jie Zhang
• Keywords: Cellular Yule-Nielson Spectral Neugebauer Model, Color Characterization Model, Multi-Level and Multi-Color Printing System, Multi-Level Dynamic Cell Division, Shared Region Correction Algorithm

References

[1] Ostromoukhov V, Chromaticity gamut enhancement by heptatone multi-color printing, , Proc. IS&T/SPIE, (1993).

DOI: 10.1117/12.149036

[2] Di-Yuan Tzeng, Spectral-Based Color Separation Algorithm Development for Multiple-Ink Color Reproduction, in Rochester: Rochester Institute of Technology, 1999, pp.10-18.

[3] ROSEN M R, HATTENBERGER E F, Ohta N, Spectral redundancy in a six-ink ink jetprinter, in The Journal of imaging science and technology, 2004, 48(3), pp.194-202.

DOI: 10.2352/j.imagingsci.technol.2004.48.3.art00003

[4] L. A. Taplin, R. S. Berns, Spectral color reproduction based on a six-color inkjet output system, (2001).

DOI: 10.2352/cic.2001.9.1.art00039

[5] D. Y. Tzeng, R. S. Berns, Spectral-based six-color separation minimizing metamerism, Citeseer, (2000).

DOI: 10.2352/cic.2000.8.1.art00061

[6] Y. Chen, R. S. Berns, L. A. Taplin, et al, Six color printer characterization using an optimized cellular Yule-Nielsen spectral Neugebauer model, Journal of Imaging Science and Technology, 2004, 48(6), pp.519-528.

DOI: 10.2352/j.imagingsci.technol.2004.48.6.art00009

[7] Philipp Urban, Rolf-Rainer Grigat, Spectral-Based Color Separation Using Linear Regression Iteration, Color Research And Application, 2006, 31(3), pp.229-238.

DOI: 10.1002/col.20211

[8] Philipp Urban, Mitchell R. Rosen, Roy S. Berns, Fast spectral-based separation of multispectral images, Final Program and Proceedings-IS and T/SID Color Imaging Conference, 2007, pp.178-183.

DOI: 10.2352/cic.2007.15.1.art00034

[9] Changjun Li, M. Ronnier Luo, Further Accelerating the Inversion of the Yule-Nielson Modified Neugebauer Model, in Final Program and Proceedings-IS and T/SID Color Imaging Conference, 2008, pp.84-88.

DOI: 10.2352/cic.2008.16.1.art00016

[10] Jinyi Guo, Haisong Xu, M. Ronnier Luo, Novel spectral characterization method for color printer based on the cellular Neugebauer model, in Chinese Optics Letters, 2010, 8(11), pp.1106-1109.

DOI: 10.3788/col20100811.1106

[11] J. Gerhardt, J. Y, Hardeberg, Col. Res. Appl. 33, 494, (2008).

[12] M. R. Luo, Rev. Prog. Color 32, 28, (2002).