"A color space is perceptually uniform if a change of length in any direction X of the color space is perceived by a human as the same change. Non-uniform perceptual color spaces like RGB and RYB can have stark contrasts when transitioning from one hue to another hue."
"In data visualization, these contrasts can be mistaken as changes in the data rather than as transitions in the color palette. Many data visualization practitioners prefer to work in the perceptual uniform CIE LAB or Hue Chroma Luminance (HCL) color spaces."
"Unfortunately, these color spaces have irregularly shaped geometries resulting in challenges to calculate color combinations that also pass color deficiency."
Perplexity's approach to generating a perceptual uniform triad focuses on color theory and empirical practice rather than calculations. This method aims to accommodate color deficiencies. Perceptually uniform color spaces, like CIE LAB and HCL, are preferred in data visualization to avoid misinterpretation of data due to stark color contrasts. However, these spaces present challenges in calculating effective color combinations due to their irregular geometries. The results from Perplexity differ from those obtained using other generative AI chatbots, highlighting its unique capabilities in color recommendations.
Read at Medium
Unable to calculate read time
Collection
[
|
...
]