Volumetric high dynamic range windowing for better data representation

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dc.contributor Tübingen / Wilhelm-Schickard-Institut für Informatik / VCM de_CH
dc.contributor.author Bartz, Dirk de_DE
dc.contributor.author Schnaidt, Benjamin de_DE
dc.contributor.author Cernik, Jirko de_DE
dc.contributor.author Gauckler, Ludwig de_DE
dc.contributor.author Fischer, Jan de_DE
dc.contributor.author del Rio, Angel de_DE
dc.date.accessioned 2005-06-20 de_DE
dc.date.accessioned 2014-03-18T10:14:16Z
dc.date.available 2005-06-20 de_DE
dc.date.available 2014-03-18T10:14:16Z
dc.date.issued 2005 de_DE
dc.identifier.other 118786873 de_DE
dc.identifier.uri http://nbn-resolving.de/urn:nbn:de:bsz:21-opus-17537 de_DE
dc.identifier.uri http://hdl.handle.net/10900/48759
dc.description.abstract Volume data is usually generated by measuring devices (eg. CT scanners, MRI scanners), mathematical functions (eg., Marschner/Lobb function), or by simulations. While all these sources typically generate 12bit integer or floating point representations, commonly used displays are only capable of handling 8bit gray or color levels. In a typical medical scenario, a 3D scanner will generate a 12bit dataset, which will be downsampled to an 8bit per-voxel accuracy. This downsampling is usually achieved by a linear windowing operation, which maps the active full accuracy data range of 0 up to 4095 into the interval between 0 and 255. In this paper, we propose a novel windowing operation that is based on methods from high dynamic range image mapping. With this method, the contrast of mapped 8bit volume datasets is significantly enhanced, in particular if the imaging modality allows for a high tissue differentiation (eg., MRI). Henceforth, it also allows better and easier segmentation and classification. We demonstrate the improved contrast with different error metrics and a perception-driven image difference to indicate differences between three different high dynamic range operators. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.rights ubt-podok de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en en
dc.subject.classification Computergraphik / Graphiker , Bildverarbeitung , Nichtlineare Filterung de_DE
dc.subject.ddc 004 de_DE
dc.subject.other High Dynamic Range Windowing de_DE
dc.subject.other High Dynamic Range Windowing en
dc.title Volumetric high dynamic range windowing for better data representation en
dc.type Report (Bericht) de_DE
dc.date.updated 2012-10-11 de_DE
utue.publikation.fachbereich Sonstige - Informations- und Kognitionswissenschaften de_DE
utue.publikation.fakultaet 7 Mathematisch-Naturwissenschaftliche Fakultät de_DE
dcterms.DCMIType Text de_DE
utue.publikation.typ report de_DE
utue.opus.id 1753 de_DE
utue.opus.portal wsi de_DE
utue.opus.portalzaehlung 2005.03000 de_DE
utue.publikation.source WSI ; 2005 ; 3 de_DE
utue.publikation.reihenname WSI-Reports - Schriftenreihe des Wilhelm-Schickard-Instituts für Informatik de_DE
utue.publikation.zsausgabe 2005, 3
utue.publikation.erstkatid 2919855-0


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