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Spectral Image Color Separation Algorithm Based on Cellular Yule-Nielson Spectral Neugebauer Model

  • Shiwei Liu
  • Quanhui Tian
  • Ming Zhu
  • Zhen Liu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 477)

Abstract

Spectral Neugebauer has become a focus because the model has specific physical meaning among all the spectral characteristic model of output devices. In order to improve the precision of the model, Spectral Neugebauer was modified by cell-element and Yule-Nielson exponent, which is called the Cellular Yule-Nielson Spectral Neugebauer (abbreviated as CYNSN). Although CYNSN forward model accuracy is high, but the precision and the efficiency of reverse model (that is, spectral image color separation model) is low. Arming to CYNSN reverse model(spectral image color separation), an adaptive CYNSN reverse model was proposed in this article. Compared with the existing model, the experimental results show that the proposed adaptive spectral color separation model has the same accuracy with the existing model, but efficiency has a great improvement, can achieve about 12.83 times as many of the existing model.

Keywords

Spectral image separation CYNSN Adaptive Reverse model 

Notes

Acknowledgements

This study was supported by the National Natural Science Foundation of China (no. 61301231).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Shiwei Liu
    • 1
  • Quanhui Tian
    • 2
  • Ming Zhu
    • 3
  • Zhen Liu
    • 4
  1. 1.Department of Printing and Packaging EngineeringHenan University of Animal Husbandry and EconomyZhengzhouChina
  2. 2.Department of Printing and Packaging EngineeringShanghai Publishing and Printing CollegeShanghaiChina
  3. 3.Department of Materials and Chemical EngineeringHenan Institute of EngineeringZhengzhouChina
  4. 4.College of Communication and Art DesignUniversity of Shanghai for Science and TechnologyShanghaiChina

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