ZCAM, a colour appearance model based on a high dynamic range uniform colour space

Area of Science:

• Color Science
• Visual Perception
• Computational Modeling

Background:

• Accurate color appearance models are crucial for predicting visual perception.
• Existing models like CIECAM02 and CAM16, while effective, can be mathematically complex.
• There is a need for simpler yet accurate color appearance models.

Purpose of the Study:

• To propose a new, mathematically simpler color appearance model named ZCAM.
• To evaluate ZCAM's performance against established models like CIECAM02 and CAM16.
• To assess ZCAM's ability to predict psychophysical data on color appearance.

Main Methods:

• Development of ZCAM based on a uniform color space.
• Inclusion of ten distinct color appearance attributes (e.g., brightness, lightness, chroma, hue).
• Comparison of ZCAM's predictions with experimental data and established models.

Main Results:

• ZCAM demonstrates plausible agreement with the psychophysical perception of color appearance.
• The model utilizes comparatively simple mathematical equations.
• ZCAM's performance in predicting experimental data is comparable to CIECAM02 and CAM16.

Conclusions:

• ZCAM offers a viable alternative to existing color appearance models due to its simplicity and accuracy.
• The proposed model provides a robust framework for understanding and predicting color perception.
• ZCAM's performance suggests its potential for applications requiring efficient and reliable color appearance prediction.