Individual Colorimetric Observer Model

This study proposes a vision model for individual colorimetric observers. The proposed model can be beneficial in many color-critical applications such as color grading and soft proofing to assess ranges of color matches instead of a single average match. We extended the CIE 2006 physiological obser...

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Bibliographic Details
Published in:PloS one 2016-02, Vol.11 (2), p.e0145671-e0145671
Main Authors: Asano, Yuta, Fairchild, Mark D, Blondé, Laurent
Format: Article
Language:English
Subjects:
Adolescent
Adult
Age
Aged
Aged, 80 and over
Biology and Life Sciences
Child
Color matching
Color Vision
Colorimetry
Computer simulation
Female
Humans
Laboratories
Male
Mathematical models
Medicine and Health Sciences
Middle Aged
Models, Biological
Monte Carlo Method
Monte Carlo simulation
Neurosciences
Observers
Parameter identification
Photopigments
Physical Sciences
Physiology
Pigments
Proofing
Research and analysis methods
Researchers
Science
Simulation
Social Sciences
Young Adult
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Summary:This study proposes a vision model for individual colorimetric observers. The proposed model can be beneficial in many color-critical applications such as color grading and soft proofing to assess ranges of color matches instead of a single average match. We extended the CIE 2006 physiological observer by adding eight additional physiological parameters to model individual color-normal observers. These eight parameters control lens pigment density, macular pigment density, optical densities of L-, M-, and S-cone photopigments, and λmax shifts of L-, M-, and S-cone photopigments. By identifying the variability of each physiological parameter, the model can simulate color matching functions among color-normal populations using Monte Carlo simulation. The variabilities of the eight parameters were identified through two steps. In the first step, extensive reviews of past studies were performed for each of the eight physiological parameters. In the second step, the obtained variabilities were scaled to fit a color matching dataset. The model was validated using three different datasets: traditional color matching, applied color matching, and Rayleigh matches.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0145671