Luminance-Preserving and Temporally Stable Daltonization
Conference Proceeding/Paper
|
Published
|
English
Authors:
Ebelin, Pontus
;
Crassin, Cyril
;
Denes, Gyorgy
;
Oskarsson, Magnus
;
Åström, Kalle
;
Akenine-Möller, Tomas
, et al.
Editors:
Babaei, Vahid
;
Skouras, Melina
Department:
Computer Vision and Machine Learning
Mathematics (Faculty of Engineering)
LU Profile Area: Light and Materials
LU Profile Area: Proactive Ageing
LU Profile Area: Natural and Artificial Cognition
LTH Profile Area: AI and Digitalization
LTH Profile Area: Engineering Health
Stroke Imaging Research group
ELLIIT: the Linköping-Lund initiative on IT and mobile communication
eSSENCE: The e-Science Collaboration
Mathematical Imaging Group
Project:
Evaluating and Improving Rendered Visual Experiences
WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
Research Group:
Computer Vision and Machine Learning
Stroke Imaging Research group
Mathematical Imaging Group
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.
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