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Associating color appearance with the cone chromaticity space
Dingcai Cao1, Joel Pokorny, Vivianne C Smith
1Department of Health Studies, The University of Chicago, 5841 South Maryland Avenue, MC 2007, Chicago, IL 60637, USA.
Vision Research
|April 12, 2005
Summary
This study developed an algorithm to convert Optical Society of America Uniform Color Scales (OSA-UCS) into cone excitations. This allows plotting cone chromaticities linked to basic color names, aiding color appearance research.
Area of Science:
- Color Science
- Visual Perception
- Computational Colorimetry
Background:
- Cone chromaticity spaces lack color appearance data.
- Optical Society of America Uniform Color Scales (OSA-UCS) provide color samples but not cone excitations.
- Previous research by Boynton and Olson (1987) collected color naming data for OSA-UCS samples.
Purpose of the Study:
- To develop a computational algorithm for converting OSA-UCS color samples into cone excitations.
- To enable the plotting of cone chromaticities associated with specific color names.
- To bridge the gap between colorimetric data and perceived color attributes.
Main Methods:
- Utilized the 1964 CIE 10 degrees Standard Observer data.
- Developed a computational algorithm to transform OSA-UCS values into L, M, S cone excitations.
- Applied the algorithm to the 424 OSA-UCS color samples.
Main Results:
- Successfully converted OSA-UCS color samples into L, M, S cone excitations.
- Generated cone chromaticity plots corresponding to eight basic color names.
- Demonstrated a method to link objective color measurements to subjective color perception.
Conclusions:
- The developed algorithm effectively translates colorimetric data into cone-specific coordinates.
- This approach facilitates the visualization and analysis of color appearance based on cone responses.
- The findings support further research into the relationship between physical color stimuli and human color perception.