A physiologically-based model for simulation of color vision deficiency.

Area of Science:

• Physiological optics
• Computational vision
• Human factors

Background:

• Color vision deficiency (CVD) affects 200 million globally, impacting daily tasks.
• Existing models often fail to unify normal and deficient color vision types.
• Understanding CVD is crucial for improving accessibility and user experience.

Purpose of the Study:

• To present a novel physiologically-based model for simulating human color vision.
• To create a unified model capable of representing normal, anomalous trichromatic, and dichromatic vision.
• To validate the model through experimental evaluation with diverse participant groups.

Main Methods:

• Development of a physiologically-based computational model.
• Incorporation of stage theory of human color vision.
• Derivation of model parameters from electrophysiological study data.
• Experimental validation with color vision deficient and normal vision participants.

Main Results:

• The model successfully simulates normal color vision, anomalous trichromacy, and dichromacy within a single framework.
• Experimental validation confirmed the model's accuracy and consistency across different vision types.
• The model provides a unified approach, unlike previous separate models.

Conclusions:

• The developed model offers a consistent simulation of various color vision types.
• It can provide insights for improving visualization for individuals with CVD.
• The model serves as a framework for investigating retinal photoreceptor function in CVD.