Good Colour Maps: How to Design Them
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Abstract (arXiv)
Many colour maps provided by vendors have highly uneven perceptual contrast over their range. It is not uncommon for colour maps to have perceptual flat spots that can hide a feature as large as one tenth of the total data range. Colour maps may also have perceptual discontinuities that induce the appearance of false features. Previous work in the design of perceptually uniform colour maps has mostly failed to recognise that CIELAB space is only designed to be perceptually uniform at very low spatial frequencies. The most important factor in designing a colour map is to ensure that the magnitude of the incremental change in perceptual lightness of the colours is uniform. The specific requirements for linear, diverging, rainbow and cyclic colour maps are developed in detail. To support this work two test images for evaluating colour maps are presented. The use of colour maps in combination with relief shading is considered and the conditions under which colour can enhance or disrupt relief shading are identified. Finally, a set of new basis colours for the construction of ternary images are presented. Unlike the RGB primaries these basis colours produce images whereby the salience of structures are consistent irrespective of the assignment of basis colours to data channels.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Sep 2015.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 0; 2025: 1.
6 papers.
- 2022Intensity Image-based LiDAR Fiducial Marker Systemcited by 4
- 2021Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusionscited by 1
- 2021Tikhonov Regularization of Circle-Valued Signalscited by 0
- 2022Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Mapcited by 0
- 2023Visualizing High-Dimensional Configuration Spaces: A Comprehensive Analytical Approachcited by 0
- 2025phepy: Visual benchmarks and improvements for out-of-distribution detectorscited by 0
- 2025phepy: Visual benchmarks and improvements for out-of-distribution detectors7 Mar 2025
- 2023Visualizing High-Dimensional Configuration Spaces: A Comprehensive Analytical Approach18 Dec 2023
- 2022Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map13 Dec 2022
- 2022Intensity Image-based LiDAR Fiducial Marker System3 Mar 2022
- 2021Tikhonov Regularization of Circle-Valued Signals5 Aug 2021
- 2021Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions11 Mar 2021