Gamut Volume Index: a color preference metric based on meta-analysis and optimized colour samples

Area of Science:

• Lighting Science
• Colorimetry
• Visual Perception

Background:

• Evaluating lighting color quality is crucial for user preference.
• Existing color metrics have limitations, especially with varying correlated color temperatures.
• A need exists for a more robust and accurate color evaluation metric.

Purpose of the Study:

• To propose a novel metric, the Gamut Volume Index (GVI), for assessing lighting color preference.
• To validate the GVI by optimizing its color set against subjective ratings from psychophysical studies.
• To compare the performance of the GVI against 20 existing color metrics.

Main Methods:

• Developed the Gamut Volume Index (GVI) based on the absolute gamut volume of optimized color samples.
• Optimized the GVI's color set using weighted average correlation with subjective ratings from eight psychophysical studies.
• Evaluated the performance of 20 established color metrics, including difference, gamut, memory, and combined types.

Main Results:

• The proposed Gamut Volume Index (GVI) demonstrated superior performance compared to existing color metrics.
• GVI showed particular effectiveness in evaluating lighting conditions with differing correlated color temperatures.
• The optimization process yielded a robust color set for the GVI.

Conclusions:

• The Gamut Volume Index (GVI) is a promising new metric for evaluating lighting color preference.
• GVI offers improved accuracy over traditional metrics, especially under diverse correlated color temperature conditions.
• This metric can enhance the assessment of lighting quality and user satisfaction.