| Titre : |
Neural network approach to a colorimetric value transform based on a large-scale spectral dataset |
| Type de document : |
texte imprimé |
| Auteurs : |
Qiang Liu, Auteur ; Xiaoxia Wan, Auteur ; Jinxing Liang, Auteur ; Zhen Liu, Auteur ; Dehong Xie, Auteur ; Chan Li, Auteur |
| Année de publication : |
2017 |
| Article en page(s) : |
p. 73-80 |
| Note générale : |
Bibliogr. |
| Langues : |
Anglais (eng) |
| Catégories : |
Colorimétrie
Couleur
Imagerie numérique
Réseaux neuronaux (informatique)
|
| Tags : |
'Tranformation de valeurs colorimétriques' 'Transformation pour l'adaptation chromatique' 'Reproduction numérique' 'Réseaux neuronaux' |
| Index. décimale : |
667.3 Teinture et impression des tissus |
| Résumé : |
To improve the transform accuracy of colorimetric values for digital colour reproduction, a neural network approach based on a large-scale spectral dataset was proposed. The presented dataset exhibited a particularly wide colour gamut and was partitioned into 12 subsets according to dominant wavelength and excitation purity. In each subset, the non-linearity between colorimetric values under source and target illuminant–observer combinations was simulated by a backpropagation neural network. The colorimetric transform accuracy of this approach was compared with several existing methods. The experimental results indicated that the proposed approach significantly enhanced the transform precision for colorimetric values, especially for the colours located in highly saturated regions. |
| Note de contenu : |
- Large-scale spectral dataset
- Proposed CVT approach
- Experimental verification |
| DOI : |
10.1111/cote.12256 |
| En ligne : |
https://drive.google.com/file/d/1cuH5zM2QTG7PT9VKVKWvwFDAMbqt9MCq/view?usp=drive [...] |
| Format de la ressource électronique : |
Pdf |
| Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=27893 |
in COLORATION TECHNOLOGY > Vol. 133, N° 1 (02/2017) . - p. 73-80
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Neural network approach to a colorimetric value transform based on a large-scale spectral dataset in COLORATION TECHNOLOGY, Vol. 133, N° 1 (02/2017)
