Automatic Improvement of Continuous Colormaps in Euclidean Colorspaces

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dc.contributor.authorNardini, Pascalen_US
dc.contributor.authorChen, Minen_US
dc.contributor.authorBöttinger, Michaelen_US
dc.contributor.authorScheuermann, Geriken_US
dc.contributor.authorBujack, Roxanaen_US
dc.contributor.editorBorgo, Rita and Marai, G. Elisabeta and Landesberger, Tatiana vonen_US
dc.date.accessioned2021-06-12T11:02:06Z
dc.date.available2021-06-12T11:02:06Z
dc.date.issued2021
dc.description.abstractColormapping 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.en_US
dc.description.number3
dc.description.sectionheadersCharts, Design, and Interaction
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume40
dc.identifier.doi10.1111/cgf.14313
dc.identifier.issn1467-8659
dc.identifier.pages361-373
dc.identifier.urihttps://doi.org/10.1111/cgf.14313
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14313
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleAutomatic Improvement of Continuous Colormaps in Euclidean Colorspacesen_US
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