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dc.contributor.authorŠoltészová, Veronika
dc.contributor.authorBirkeland, Åsmund
dc.contributor.authorStoppel, Sergej
dc.contributor.authorViola, Ivan
dc.contributor.authorBruckner, Stefan
dc.PublishedComputer graphics forum (Print) 2016eng
dc.description.abstractReal-time volume data acquisition poses substantial challenges for the traditional visualization pipeline where data enhancement is typically seen as a pre-processing step. In the case of 4D ultrasound data, for instance, costly processing operations to reduce noise and to remove artefacts need to be executed for every frame. To enable the use of high-quality filtering operations in such scenarios, we propose an output-sensitive approach to the visualization of streaming volume data. Our method evaluates the potential contribution of all voxels to the final image, allowing us to skip expensive processing operations that have little or no effect on the visualization. As filtering operations modify the data values which may affect the visibility, our main contribution is a fast scheme to predict their maximum effect on the final image. Our approach prioritizes filtering of voxels with high contribution to the final visualization based on a maximal permissible error per pixel. With zero permissible error, the optimized filtering will yield a result that is identical to filtering of the entire volume. We provide a thorough technical evaluation of the approach and demonstrate it on several typical scenarios that require on-the-fly processing.en_US
dc.publisherJohn Wiley & Sons Ltd.en_US
dc.rightsAttribution CC BY-NC-ND 4.0eng
dc.subjectvolume data processingeng
dc.subjectobject-order imagingeng
dc.titleOutput-Sensitive Filtering of Streaming Volume Dataen_US
dc.typePeer reviewed
dc.typeJournal article
dc.rights.holderCopyright 2016 The Authors Computer Graphics Forumen_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US

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Attribution CC BY-NC-ND 4.0
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