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dc.contributor.authorGrillini, Federico
dc.contributor.authorThomas, Jean Baptiste
dc.contributor.authorGeorge, Sony
dc.date.accessioned2021-04-08T09:16:49Z
dc.date.available2021-04-08T09:16:49Z
dc.date.created2021-04-06T09:12:13Z
dc.date.issued2021
dc.identifier.citationSensors. 20221, 21 (7), .en_US
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/11250/2736804
dc.description.abstractThe radiation captured in spectral imaging depends on both the complex light–matter interaction and the integration of the radiant light by the imaging system. In order to obtain material-specific information, it is important to define and invert an imaging process that takes into account both aspects. In this article, we investigate the use of several mixing models and evaluate their performances in the study of oil paintings. We propose an evaluation protocol, based on different features, i.e., spectral reconstruction, pigment mapping, and concentration estimation, which allows investigating the different properties of those mixing models in the context of spectral imaging. We conduct our experiment on oil-painted mockup samples of mixtures and show that models based on subtractive mixing perform the best for those materials.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleComparison of Imaging Models for Spectral Unmixing in Oil Paintingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume21en_US
dc.source.journalSensorsen_US
dc.source.issue7en_US
dc.identifier.doi10.3390/s21072471
dc.identifier.cristin1902189
dc.description.localcodeThis is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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