An Information-Theoretic Observation Channel for Volume Visualization

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dc.contributor.authorBramon, Rogeren_US
dc.contributor.authorRuiz, Marcen_US
dc.contributor.authorBardera, Antonen_US
dc.contributor.authorBoada, Immaen_US
dc.contributor.authorFeixas, Miquelen_US
dc.contributor.authorSbert, Mateuen_US
dc.contributor.editorB. Preim, P. Rheingans, and H. Theiselen_US
dc.date.accessioned2015-02-28T15:31:44Z
dc.date.available2015-02-28T15:31:44Z
dc.date.issued2013en_US
dc.description.abstractDifferent quality metrics have been proposed in the literature to evaluate how well a visualization represents the underlying data. In this paper, we present a new information-theoretic framework that quantifies the information transfer between the source data set and the rendered image. This approach is based on the definition of an observation channel whose input and output are given by the intensity values of the volumetric data set and the pixel colors, respectively. From this channel, the mutual information, a measure of information transfer or correlation between the input and the output, is used as a metric to evaluate the visualization quality. The usefulness of the proposed observation channel is illustrated with three fundamental visualization applications: selection of informative viewpoints, transfer function design, and light positioning.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.doi10.1111/cgf.12128en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12128en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectViewing algorithmsen_US
dc.titleAn Information-Theoretic Observation Channel for Volume Visualizationen_US
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32-Issue 3
EuroVis13: Eurographics Conference on Visualization