Paper
22 April 1996 Systematic color vision model: its applications to electronic imaging
Yan Liu
Author Affiliations +
Proceedings Volume 2657, Human Vision and Electronic Imaging; (1996) https://doi.org/10.1117/12.238749
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
The systematic color vision model is a comprehensive model based on both the zone theory and the retinex theory. This model merges these two theories by a hypothesis of systematic negative feedback control (SNFC) for the human visual system. The SNFC includes two loops: an absolute negative feedback loop which controls the absolute light sensitivities of the cone photoreceptors for achromatic adaptation, and a relative negative feedback loop which controls the relative light sensitivities for chromatic adaptation. Under SNFC the three types of cone photoreceptors have independent light sensitivities. They function as the retinexes in the retinex theory. The color vision signals are processed zone by zone as assumed by the zone theory. This model also provides a color calculation algorithm and a visual processing framework for the first two zones. This algorithm is based on the von Kries coefficient law and the spectral sensitivities of the three types of cone photoreceptors. Since this algorithm omits the transformation from RGB to XYZ, color modeling for an electronic imaging system becomes easy and accurate. Potential errors of color calculation caused by using the CIE color-matching functions, such as abnormal hue-angle change, can also be avoided.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Liu "Systematic color vision model: its applications to electronic imaging", Proc. SPIE 2657, Human Vision and Electronic Imaging, (22 April 1996); https://doi.org/10.1117/12.238749
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KEYWORDS
Visualization

Color vision

Visual process modeling

Negative feedback

Feedback control

Signal processing

Colorimetry

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