Transition type influences the adaptation state under dichromatic illuminations.

Area of Science:

• Color Science
• Visual Perception
• Computational Modeling

Background:

• Existing color constancy models (e.g., CMCCAT97, CAT02, CAT16) are based on single illuminant conditions.
• Real-world scenes, particularly indoors, often feature multiple, spatially varying illuminants.
• Previous research suggested illumination transition types influence visual adaptation, but data was limited.

Purpose of the Study:

• To systematically investigate the interactive effects of illumination transition type and color pairs on the adapted white point.
• To determine the influence of these factors on the degree of visual adaptation.
• To develop an improved computational model for color constancy under dichromatic illumination.

Main Methods:

• Conducted a series of achromatic matching experiments.
• Utilized spatially dichromatic illuminations with controlled transition types and color pairs.
• Collected visual data to analyze the adapted white point and degree of adaptation.

Main Results:

• Transition type significantly impacts the visual adaptation state, particularly for illumination pairs with large color differences.
• Under sharp transitions, the more easily adapted illuminant contributed more to the final adapted white point.
• Visual data revealed trends not previously established for complex illumination scenarios.

Conclusions:

• The type of transition between illuminants is a critical factor in visual adaptation under dichromatic lighting.
• A more comprehensive computational model (CAT model) for dichromatic illuminations was developed based on experimental findings.
• This research provides a foundation for understanding color constancy in more realistic, multi-illuminant environments.