Exploring the applicability of the CAM18sl brightness prediction

Area of Science:

• Color Science
• Visual Perception
• Applied Optics

Background:

• A new color appearance model, CAM18sl, has been developed to predict color perception (hue, colorfulness, brightness) for self-luminous stimuli against neutral backgrounds.
• Its applicability beyond its original design parameters requires investigation.

Purpose of the Study:

• To evaluate the broader applicability of the CAM18sl model, specifically its brightness prediction capabilities.
• To compare CAM18sl's brightness predictions with established metrics in distinct application domains.

Main Methods:

• CAM18sl's brightness predictions were compared against CIE Unified Glare Rating (UGR), European standards for Variable Message Signs, visual gloss (VG) formulas, CIE grey-scale calculations, and CIECAM02 predictions.
• Correlation analysis was performed between CAM18sl's 'bright' output and the outcomes of these diverse metrics.

Main Results:

• CAM18sl's predicted brightness perception demonstrated a strong correlation with dedicated metrics across various distinct application domains.
• The model's performance was consistent despite the varied contexts, including glare ratings, outdoor signage, object gloss, and self-luminous displays.

Conclusions:

• The CAM18sl model shows significant promise as a general model for predicting brightness perception.
• Its broad applicability could lead to a consolidation of multiple application-specific brightness metrics into a single, unified approach.