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dc.contributor.authorKitanovski, Vlado
dc.contributor.authorThomas, Jean Baptiste
dc.contributor.authorHardeberg, Jon Yngve
dc.date.accessioned2021-11-24T13:09:50Z
dc.date.available2021-11-24T13:09:50Z
dc.date.created2021-11-22T12:07:26Z
dc.date.issued2021
dc.identifier.citationColor and Imaging Conference (CIC). 2021, 264-269.en_US
dc.identifier.issn2166-9635
dc.identifier.urihttps://hdl.handle.net/11250/2831308
dc.description.abstractMultispectral images contain more spectral information of the scene objects compared to color images. The captured information of the scene reflectance is affected by several capture conditions, of which the scene illuminant is dominant. In this work, we implemented an imaging pipeline for a spectral filter array camera, where the focus is the estimation of the scene reflectances when the scene illuminant is unknown. We simulate three scenarios for reflectance estimation from multispectral images, and we evaluate the estimation accuracy on real captured data. We evaluate two camera model-based reflectance estimation methods that use a Wiener filter, and two other linear regression models for reflectance estimation that do not require an image formation model of the camera. Regarding the model-based approaches, we propose to use an estimate for the illuminant's spectral power distribution. The results show that our proposed approach stabilizes and marginally improves the estimation accuracy over the method that estimates the illuminant in the sensor space only. The results also provide a comparison of reflectance estimation using common approaches that are suited for different realistic scenarios.en_US
dc.language.isoengen_US
dc.publisherSociety for Imaging Science and Technologyen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleReflectance estimation from snapshot multispectral images captured under unknown illuminationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber264-269en_US
dc.source.journalColor and Imaging Conference (CIC)en_US
dc.identifier.doi10.2352/issn.2169-2629.2021.29.264
dc.identifier.cristin1957222
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal