Luminance-Preserving and Temporally Stable Daltonization

dc.contributor.author	Ebelin, Pontus	en_US
dc.contributor.author	Crassin, Cyril	en_US
dc.contributor.author	Denes, Gyorgy	en_US
dc.contributor.author	Oskarsson, Magnus	en_US
dc.contributor.author	Åström, Kalle	en_US
dc.contributor.author	Akenine-Möller, Tomas	en_US
dc.contributor.editor	Babaei, Vahid	en_US
dc.contributor.editor	Skouras, Melina	en_US
dc.date.accessioned	2023-05-03T06:03:00Z
dc.date.available	2023-05-03T06:03:00Z
dc.date.issued	2023
dc.identifier.isbn	978-3-03868-209-7
dc.identifier.issn	1017-4656
dc.identifier.uri	https://doi.org/10.2312/egs.20231011
dc.identifier.uri	https://diglib.eg.org:443/handle/10.2312/egs20231011
dc.description.abstract	We 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.publisher	The Eurographics Association	en_US
dc.rights	Attribution 4.0 International License
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	CCS Concepts: Computing methodologies -> Image processing; Rendering
dc.subject	Computing methodologies
dc.subject	Image processing
dc.subject	Rendering
dc.title	Luminance-Preserving and Temporally Stable Daltonization	en_US
dc.description.seriesinformation	Eurographics 2023 - Short Papers
dc.description.sectionheaders	Perception for Sketches, VR, and Vision
dc.identifier.doi	10.2312/egs.20231011
dc.identifier.pages	45-48
dc.identifier.pages	4 pages

Except where otherwise noted, this item's license is described as Attribution 4.0 International License