Luminance-Preserving and Temporally Stable Daltonization

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dc.contributor.authorEbelin, Pontusen_US
dc.contributor.authorCrassin, Cyrilen_US
dc.contributor.authorDenes, Gyorgyen_US
dc.contributor.authorOskarsson, Magnusen_US
dc.contributor.authorÅström, Kalleen_US
dc.contributor.authorAkenine-Möller, Tomasen_US
dc.contributor.editorBabaei, Vahiden_US
dc.contributor.editorSkouras, Melinaen_US
dc.date.accessioned2023-05-03T06:03:00Z
dc.date.available2023-05-03T06:03:00Z
dc.date.issued2023
dc.description.abstractWe propose a novel, real-time algorithm for recoloring images to improve the experience for a color vision deficient observer. The output is temporally stable and preserves luminance, the most important visual cue. It runs in 0.2 ms per frame on a GPU.en_US
dc.description.sectionheadersPerception for Sketches, VR, and Vision
dc.description.seriesinformationEurographics 2023 - Short Papers
dc.identifier.doi10.2312/egs.20231011
dc.identifier.isbn978-3-03868-209-7
dc.identifier.issn1017-4656
dc.identifier.pages45-48
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/egs.20231011
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egs20231011
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Image processing; Rendering
dc.subjectComputing methodologies
dc.subjectImage processing
dc.subjectRendering
dc.titleLuminance-Preserving and Temporally Stable Daltonizationen_US
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