A Methodology for Analyzing and Improving Color Models

In the pre-press and reproduction industry, colorimetric color models play a big role in processing and manipulating colors. However, even the most accepted standards of such models still face issues with correctly representing colors with more consistent perceptual properties. Therefore, this paper presents a methodology for analyzing color models, to help develop a new color model with more consistent perceptual properties. Applications of such a model, like color processing, color management and color manipulation, should have improved accuracy. A crucial aspect of such a color model is consistent and defined conversions for common data exchange spaces, like CIELAB.

An important part of such a methodology is a way to evaluate models. This will be done by comparing set pairs of colors with given properties, in terms of lightness, chroma, and hue. This method can analyze how well a color space reflects the expected given properties.