Beyond the Good, the Bad, and the Ugly: Colormap Assessment through Data-Aware Perceptual Metric
Continuous colormaps are widely used to visualize scalar fields, and their quality is typically evaluated using measures such as discriminative power and uniformity. Existing measures primarily characterize the intrinsic perceptual properties of the colormap itself, largely independent of the underlying data distribution. In practice, however, user perception arises not from the colormap alone but from the visualization generated by mapping data values through the colormap. The perceptual differences that users actually experience depend jointly on the colormap and the underlying data. We propose a data-aware formulation that complements existing data-independent colormap assessment appro...
| Authors | Xi Duan, Yiwei Lin, Shiqing Xin et al. |
|---|---|
| Primary category | cs.HC |
| Published | 7 August 2026 |
| Last updated at source | 7 August 2026 |
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