Automatic Improvement of Continuous Colormaps in Euclidean Colorspaces

Nardini, Pascal; Chen, Min; Böttinger, Michael; Scheuermann, Gerik; Bujack, Roxana

Automatic Improvement of Continuous Colormaps in Euclidean Colorspaces

Files

v40i3pp361-373.pdf (42.13 MB)

1036-file1.mp4 (23.35 MB)

1036_fullpaper.mp4 (171.48 MB)

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cgf40-3_14313.pdf (42.22 MB)

Date

2021

Authors

Nardini, Pascal
Chen, Min
Böttinger, Michael
Scheuermann, Gerik
Bujack, Roxana

Publisher

The Eurographics Association and John Wiley & Sons Ltd.

Abstract

Colormapping is one of the simplest and most widely used data visualization methods within and outside the visualization community. Uniformity, order, discriminative power, and smoothness of continuous colormaps are the most important criteria for evaluating and potentially improving colormaps. We present a local and a global automatic optimization algorithm in Euclidean color spaces for each of these design rules in this work. As a foundation for our optimization algorithms, we used the CCC-Tool colormap specification (CMS); each algorithm has been implemented in this tool. In addition to synthetic examples that demonstrate each method's effect, we show the outcome of some of the methods applied to a typhoon simulation.

        @article{10.1111:cgf.14313
,
journal = {Computer Graphics Forum},
title = {{Automatic Improvement of Continuous Colormaps in Euclidean Colorspaces
}},
author = {Nardini, Pascal and 
Chen, Min and 
Böttinger, Michael and 
Scheuermann, Gerik and 
Bujack, Roxana
},
year = {2021
},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.
},
ISSN = {1467-8659
},
DOI = {10.1111/cgf.14313
}
}