<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T00:57:12Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10256/11662" metadataPrefix="mets">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10256/11662</identifier><datestamp>2024-06-18T12:15:48Z</datestamp><setSpec>com_2072_452955</setSpec><setSpec>com_2072_2054</setSpec><setSpec>col_2072_453069</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_10256-11662" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:10256/11662">
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                  <mods:namePart>Bramon Feixas, Roger</mods:namePart>
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                  <mods:namePart>Ruiz Altisent, Marc</mods:namePart>
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                  <mods:namePart>Bardera i Reig, Antoni</mods:namePart>
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               <mods:name>
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                  <mods:namePart>Boada, Imma</mods:namePart>
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                  <mods:namePart>Feixas Feixas, Miquel</mods:namePart>
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                  <mods:namePart>Sbert, Mateu</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2024-06-18T12:15:47Z</mods:dateAccessioned>
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               <mods:identifier type="uri">http://hdl.handle.net/10256/11662</mods:identifier>
               <mods:abstract>Different 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 positioningThis work has been funded in part by grants from the Spanish Government (Nr. TIN2010-21089-C03-01) and from the Catalan Government (Nr. 2009-SGR-643). This work has also been supported by SUR of DEC of Generalitat de Catalunya (Catalan Government).</mods:abstract>
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               <mods:accessCondition type="useAndReproduction">Tots els drets reservats info:eu-repo/semantics/embargoedAccess</mods:accessCondition>
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                  <mods:topic>Informació, Teoria de la</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Information theory</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Visualització (Informàtica)</mods:topic>
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               <mods:subject>
                  <mods:topic>Information display systems</mods:topic>
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               <mods:subject>
                  <mods:topic>Infografia</mods:topic>
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                  <mods:topic>Computer graphics</mods:topic>
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                  <mods:title>An information-theoretic observation channel for volume visualization</mods:title>
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