A Novel Method of Color Appearance Simulation Using Achromatic Point Locus With Lightness Dependence
1Research Institute of Electrical Communication, Tohoku University, Sendai, Japan.
I-Perception
|May 15, 2018
Summary
This study introduces a simple algorithm for simulating color appearance under colored light. The model accurately predicts color perception across different lightness levels, improving upon existing methods for digital displays.
Area of Science:
- Color science
- Computational vision
- Human perception
Background:
- Simulating color appearance under various illuminants is complex.
- Existing models struggle with accurate predictions across different lightness levels.
- Understanding the achromatic point is crucial for color appearance models.
Purpose of the Study:
- To propose a simple algorithm for color appearance simulation under colored illuminants.
- To align achromatic points with the lightness axis in CIE LAB space under normalized daylight.
- To evaluate the algorithm's performance using subjective color-matching and image analysis.
Main Methods:
- Developed a model applying hue/saturation shifts followed by lightness shifts under an iso-lightness constraint.
- Utilized cone-response (von Kries) transformation for color shifts.
- Tested the algorithm using the '#theDress' image and compared with subjective color-matching and conventional models.
Main Results:
- The proposed algorithm aligns achromatic points with the lightness axis under normalized daylight.
- Simulations showed resemblance to subjective color-matching results.
- The model preserved relative color differences better than conventional models, especially at lower lightness levels.
Conclusions:
- Human color vision may process lightness and color shifts independently.
- The algorithm is effective for simulating color appearance in images with significant lightness and color variations.
- Improved performance at lower lightness levels is beneficial for wide dynamic range displays.
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