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Individualised Halo-Free Gradient-Domain Colour Image Daltonisation

Daltonisation refers to the recolouring of images such that details normally lost by colour vision deficient observers become visible. This comes at the cost of introducing artificial colours. In a previous work, we presented a gradient-domain colour image daltonisation method that outperformed prev...

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Detalles Bibliográficos
Autor principal: Farup, Ivar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321179/
https://www.ncbi.nlm.nih.gov/pubmed/34460560
http://dx.doi.org/10.3390/jimaging6110116
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author Farup, Ivar
author_facet Farup, Ivar
author_sort Farup, Ivar
collection PubMed
description Daltonisation refers to the recolouring of images such that details normally lost by colour vision deficient observers become visible. This comes at the cost of introducing artificial colours. In a previous work, we presented a gradient-domain colour image daltonisation method that outperformed previously known methods both in behavioural and psychometric experiments. In the present paper, we improve the method by (i) finding a good first estimate of the daltonised image, thus reducing the computational time significantly, and (ii) introducing local linear anisotropic diffusion, thus effectively removing the halo artefacts. The method uses a colour vision deficiency simulation algorithm as an ingredient, and can thus be applied for any colour vision deficiency, and can even be individualised if the exact individual colour vision is known.
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spelling pubmed-83211792021-08-26 Individualised Halo-Free Gradient-Domain Colour Image Daltonisation Farup, Ivar J Imaging Article Daltonisation refers to the recolouring of images such that details normally lost by colour vision deficient observers become visible. This comes at the cost of introducing artificial colours. In a previous work, we presented a gradient-domain colour image daltonisation method that outperformed previously known methods both in behavioural and psychometric experiments. In the present paper, we improve the method by (i) finding a good first estimate of the daltonised image, thus reducing the computational time significantly, and (ii) introducing local linear anisotropic diffusion, thus effectively removing the halo artefacts. The method uses a colour vision deficiency simulation algorithm as an ingredient, and can thus be applied for any colour vision deficiency, and can even be individualised if the exact individual colour vision is known. MDPI 2020-10-29 /pmc/articles/PMC8321179/ /pubmed/34460560 http://dx.doi.org/10.3390/jimaging6110116 Text en © 2020 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Farup, Ivar
Individualised Halo-Free Gradient-Domain Colour Image Daltonisation
title Individualised Halo-Free Gradient-Domain Colour Image Daltonisation
title_full Individualised Halo-Free Gradient-Domain Colour Image Daltonisation
title_fullStr Individualised Halo-Free Gradient-Domain Colour Image Daltonisation
title_full_unstemmed Individualised Halo-Free Gradient-Domain Colour Image Daltonisation
title_short Individualised Halo-Free Gradient-Domain Colour Image Daltonisation
title_sort individualised halo-free gradient-domain colour image daltonisation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321179/
https://www.ncbi.nlm.nih.gov/pubmed/34460560
http://dx.doi.org/10.3390/jimaging6110116
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