Color appearance model for self-luminous stimuli

Area of Science:

• Vision Science
• Colorimetry
• Perceptual Modeling

Background:

• Understanding human perception of light and color is crucial for display technology and visual environment design.
• Existing models often struggle with self-luminous stimuli against complex backgrounds.

Purpose of the Study:

• To develop a computational model for predicting brightness and hue perception of self-luminous stimuli.
• To incorporate adaptation effects from self-luminous achromatic backgrounds.
• To propose a new absolute brightness scale.

Main Methods:

• Utilized visual experimental data for model development and validation.
• Calculated normalized cone excitations using CIE 2006 cone fundamentals.
• Applied von Kries chromatic adaptation and a Michaelis-Menten function for luminance adaptation.

Main Results:

• The model accurately predicts experimental data for brightness, hue, and color vs. neutral.
• Incorporated luminance compression and adaptation effects.
• Validated the model with independent experimental datasets.

Conclusions:

• A robust model for self-luminous stimulus perception has been established.
• The model provides a framework for predicting color and brightness under specific viewing conditions.
• Introduced a novel, quantifiable scale for absolute brightness perception.