Skip to main content

Research on Prediction Model of Cyan Ink Dot Area Rate Based on Ink Spectrum

  • Conference paper
  • First Online:
Advanced Graphic Communications, Packaging Technology and Materials

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 369))

  • 2491 Accesses

Abstract

At particular wavelength point, establish a polynomial model for cyan ink spectrum reflectivity and dot area rate, based on three basic color ink spectrum reflectivity research. Using spectrophotometer to measure sample colors that printed by different proportion two or three basic inks. Through prediction model to get cyan dot area rate, prediction area rates are compared with real printed area rates. Then analyze the model accuracy and establish the compensation curve. The deviation influence of magenta is bigger than yellow, and the deviation is connected with magenta or yellow proportion. Experimental results indicate that the average error range is less than three percents, and using quadratic polynomial model to predict the cyan ink dot area rate is feasible. This study method also can be used in color spectrum separation and replication research.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Yuan, W., Zhao, X-p, & Jiang, Q-y. (2011). Study of offset printing parameter control method based on densimetry. Packaging Engineering, 32(9), 81–84.

    Google Scholar 

  2. Zhang, Z-x, Wang, L-j, & Zhu, Y-h. (2005). The application of chromaticity detection in packaging printing. Packaging Engineering, 26(1), 65–69.

    Google Scholar 

  3. Wang, H., & Li, J. (2014). Reaserch development of multispectral color reproduction technology. Journal of Zhe Jiang University of Science and Technology, 26(1), 46–51.

    Google Scholar 

  4. Zhao, C-f, Han, Q., & Zou, C. (2013). Research on correction factor of Yule-Nielsen Spectral Neugebauer Model [J]. Packaging Engineering, 34(3), 113–115.

    Google Scholar 

  5. Yang, S., Liu, Z., & Wu, M. (2015). Color separation mehod based on characteristic spectrum matching for multi-color reproduction. Geomatics and Informatin Science of Wuhan University, 40(4), 563–568.

    Google Scholar 

  6. Yang, H., Yi, Y., Liu, J., & Wang, X. (2015). Research on multi-color separation model based on polynomial regression. Applied Mechanics and Materials, 731, 27–31.

    Article  Google Scholar 

  7. Zhang, L., & Li, J. (2015). Ink spectrum data feature extraction research. Applied Mechanics and Materials, 731, 87–91.

    Article  Google Scholar 

Download references

Acknowledgments

This work is funded by Institute Level Projects Funded by Beijing Institute of Graphic Communication (No. 23190114031, No. 23190114010), the College Student Research Program of Beijing (No. 08150115/041).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lizheng Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Singapore

About this paper

Cite this paper

Zhang, L., Cao, G., Zhuo, Y., Miao, H. (2016). Research on Prediction Model of Cyan Ink Dot Area Rate Based on Ink Spectrum. In: Ouyang, Y., Xu, M., Yang, L., Ouyang, Y. (eds) Advanced Graphic Communications, Packaging Technology and Materials. Lecture Notes in Electrical Engineering, vol 369. Springer, Singapore. https://doi.org/10.1007/978-981-10-0072-0_59

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-0072-0_59

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0070-6

  • Online ISBN: 978-981-10-0072-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics