Assessing the performance of a spectral reflectance estimation method based on a diffraction grating and a spectroradiometer / Dejana Javorsek in COLORATION TECHNOLOGY, Vol. 130, N° 4 (08/2014)  

[article]  inCOLORATION TECHNOLOGY > Vol. 130, N° 4 (08/2014) . - p. 280-287 Titre : Assessing the performance of a spectral reflectance estimation method based on a diffraction grating and a spectroradiometer Type de document : texte imprimé Auteurs : Dejana Javorsek, Auteur ; Tim Jerman, Auteur ; Blaž Rat, Auteur ; AleÅ¡ Hladnik, Auteur Année de publication : 2014 Article en page(s) : p. 280-287 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Couleur -- Analyse Spectroscopie de réflectance Index. décimale : 667.3 Teinture et impression des tissus Résumé : Constant improvements in digital cameras have made it possible to use these devices for colour acquisition and reproduction at an advanced level. It is known that a colour match for all observers when changing illumination can only be achieved by matching spectral data. Obtaining spectral data from digital camera RGB values could provide a new way of using the digital camera as a spectrophotometric tool or as a high-quality colour-capturing system that is required in more demanding applications. In the present study, two spectral reflectance estimation methods were examined – the Imai–Berns method (ImaiBerns) and the spectral-sensitivity-based method (SpecSens). The purpose of the research was to simplify the procedure of the SpecSens method by using a diffraction grating and a spectroradiometer instead of a monochromator, and to compare the results with those of the ImaiBerns approach. Obtained spectral reflectance estimates were evaluated using the root-mean-square error and ?E00 metrics. Results of the research show that the ImaiBerns method was superior to SpecSens, most likely because the former method does not require knowledge of the camera spectral sensitivities, which often introduces errors into reflectance estimation calculations. Both methods were successful in predicting black, brownish, and dark patches, as indicated by a low root-mean-square error, as well as unsaturated pastel, pink, or skin colours, which produced low ?E00 values. On the other hand, many of the patches with a low root-mean-square error also exhibited high ?E00 values, while bright, nearly-white patches were characterised by a high root-mean-square error. DOI : 10.1111/cote.12095 En ligne : https://onlinelibrary.wiley.com/doi/epdf/10.1111/cote.12095 Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=21781 [article]

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