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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-8321179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT farupivar individualisedhalofreegradientdomaincolourimagedaltonisation |