Skip to main content

Research on the Antagonism Mechanism of Human Color Vision

  • Conference paper
  • First Online:
Book cover Advances in Graphic Communication, Printing and Packaging

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 543))

  • 1293 Accesses

Abstract

The antagonistic mechanism of human color vision is the physiological characteristics of the human visual system. The processing of spatial color information in visual color channels is opposite, which presents that the black-white opposition color channel, the red-green opponent color channel and the yellow-blue opposition color channel are all multi-scale. This paper aims to study the algorithm of the antagonistic mechanism of human color vision. Based on the theory of the visual receptive fields, seven filter operators associated with the human observation condition are designed; the mapping relation between these operators and human visual observation scale is established. The paper put forward to an algorithm for simulating the antagonistic mechanism of human color vision, which is carried out in visual opposite color space. The experiment results show that the algorithm has the ability of color constancy prediction, and the color reduction accuracy is not lower than the automatic white balance processing result of the professional digital SLR camera.

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
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

References

  1. Conway, B. R., Chatterjee, S., Field, G. D., et al. (2010). Advances in color science: From retina to behavior. The Journal of neuroscience, 30(45), 14955–14963.

    Article  Google Scholar 

  2. Li, J., Zhou, L., & Liu, J. (2014). Algorithm for remote sensing image enhancement based on multiscale retinex theory. Journal of Xi’an Technological University, 34(1), 27–33.

    Google Scholar 

  3. Xie, D., & Wan, X. (2011). Multi-scale DoG filter based high dynamic range image rendering method. Geomatics and Information Science of Wuhan University, 36(1), 1381–1385.

    Google Scholar 

  4. Shao, B. (2013). Visual mechanisms based color constancy model and its application in image processing (pp. 40–50). Chengdu: University of Electronic Science and Technology of China.

    Google Scholar 

  5. McGugin, R. W., Gatenby, J. C., Gore, J. C., & Gauthier, I. (2012). High-resolution imaging of expertise reveals reliable object selectivity in the fusiform face area related to perceptual performance. Proceedings of the National Academy of Sciences USA, 109(42), 10–16.

    Article  Google Scholar 

  6. Simpson, W. A., & McFadden, S. M. (2005). Spatial frequency channels derived from individual differences. Vision Research, 45(21), 2723–2727.

    Article  Google Scholar 

  7. Cooper, B., Sun, H., & Lee, B. B. (2012). Psychophysical and physiological responses to gratings with luminance and chromatic components of different spatial frequencies. Journal of the Optical Society of America A, 29(2), A314–A323.

    Article  Google Scholar 

  8. Fairchild, M. D. (2010). Color appearance models and complex visual stimuli. Journal of Dentistry, 38(s2), e25–e33.

    Article  Google Scholar 

Download references

Acknowledgements

This research is supported by Lab of Green Platemaking and Standardization for Flexographic Printing (No. ZBKT201705 and No. ZBKT201806).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shengwei Yang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yang, S., Xu, X., Kong, L. (2019). Research on the Antagonism Mechanism of Human Color Vision. In: Zhao, P., Ouyang, Y., Xu, M., Yang, L., Ren, Y. (eds) Advances in Graphic Communication, Printing and Packaging. Lecture Notes in Electrical Engineering, vol 543. Springer, Singapore. https://doi.org/10.1007/978-981-13-3663-8_8

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-3663-8_8

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3662-1

  • Online ISBN: 978-981-13-3663-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics