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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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.
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.
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.
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.
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.
Simpson, W. A., & McFadden, S. M. (2005). Spatial frequency channels derived from individual differences. Vision Research, 45(21), 2723–2727.
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.
Fairchild, M. D. (2010). Color appearance models and complex visual stimuli. Journal of Dentistry, 38(s2), e25–e33.
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
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
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)