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dc.contributor.authorKuhn, Giovane Roslindopt_BR
dc.contributor.authorOliveira Neto, Manuel Menezes dept_BR
dc.contributor.authorFernandes, Leandro Augusto Fratapt_BR
dc.date.accessioned2011-01-29T06:00:42Zpt_BR
dc.date.issued2008pt_BR
dc.identifier.issn1077-2626pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/27619pt_BR
dc.description.abstractWe present an efficient and automatic image-recoloring technique for dichromats that highlights important visual details that would otherwise be unnoticed by these individuals. While previous techniques approach this problem by potentially changing all colors of the original image, causing their results to look unnatural to color vision deficients, our approach preserves, as much as possible, the image’s original colors. Our approach is about three orders of magnitude faster than previous ones. The results of a paired-comparison evaluation carried out with fourteen color-vision deficients (CVDs) indicated the preference of our technique over the state-of-the-art automatic recoloring technique for dichromats. When considering information visualization examples, the subjects tend to prefer our results over the original images. An extension of our technique that exaggerates color contrast tends to be preferred when CVDs compared pairs of scientific visualization images. These results provide valuable information for guiding the design of visualizations for color-vision deficients.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofIEEE transactions on visualization and computer graphics. Los Alamitos. Vol. 14, no 6 (Nov./Dec. 2008), p. 1747-1754pt_BR
dc.rightsOpen Accessen
dc.subjectColor-contrast enhancementen
dc.subjectComputação gráficapt_BR
dc.subjectColor-vision deficiencyen
dc.subjectRecoloring algorithmsen
dc.subjectInformation and scientific visualizationen
dc.titleAn efficient naturalness-preserving image-recoloring method for dichromatspt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb000681718pt_BR
dc.type.originEstrangeiropt_BR


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