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Design Tool of Color Schemes on the CIELAB Space

Authors: Kazuo Misue; Hatsune Kitajima;

Design Tool of Color Schemes on the CIELAB Space

Abstract

Color plays an important role in information visualization. To use the colors as visual representations of the data effectively, designing color schemes that consider perceptual differences between colors is necessary. We developed a tool to assist in color-scheme design when using the CIE1976L*a*b* (or CIELAB) color space. The developed tool provides functions to assist in designing color schemes for nominal, ordinal, and quantitative data. The CIELAB color space has a property in which the Euclidean distances between any two colors in the space can approximate the perceptual differences between them. Thus, designing color schemes for data representation is convenient. However, because the CIELAB color space has a distorted shape, color scheme design in such space is not easy. Our tool allows the designer to see the positions of colors in the CIELAB color space visually to facilitate scheme design. Moreover, our tool provides information to the designer on the distinguishability of the selected colors, and offers functions to correct color schemes automatically.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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