Optimizing colormaps with consideration for color vision deficiency to enable accurate interpretation of scientific data

TL;DR

This paper introduces a Python module that creates colormaps optimized for individuals with color vision deficiency, ensuring accurate scientific data interpretation across diverse viewers.

Contribution

The authors developed cmaputil, a tool for generating CVD-optimized colormaps using modern color appearance models, filling a gap in data visualization accessibility.

Findings

Created cividis colormap for red-green colorblindness

Cividis enables nearly identical data interpretation for all viewers

Colormaps are perceptually uniform in hue and brightness

Abstract

Color vision deficiency (CVD) affects more than 4% of the population and leads to a different visual perception of colors. Though this has been known for decades, colormaps with many colors across the visual spectra are often used to represent data, leading to the potential for misinterpretation or difficulty with interpretation by someone with this deficiency. Until the creation of the module presented here, there were no colormaps mathematically optimized for CVD using modern color appearance models. While there have been some attempts to make aesthetically pleasing or subjectively tolerable colormaps for those with CVD, our goal was to make optimized colormaps for the most accurate perception of scientific data by as many viewers as possible. We developed a Python module, cmaputil, to create CVD-optimized colormaps, which imports colormaps and modifies them to be perceptually uniform in CVD-safe colorspace while linearizing and maximizing the brightness range. The module is made available to the science community to enable others to easily create their own CVDoptimized colormaps. Here, we present an example CVD-optimized colormap created with this module that is optimized for viewing by those without a CVD as well as those with redgreen colorblindness. This colormap, cividis, enables nearly-identical visual-data interpretation to both groups, is perceptually uniform in hue and brightness, and increases in brightness linearly.