Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/95407
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dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorWei, Men_US
dc.creatorWang, Yen_US
dc.creatorMa, Sen_US
dc.creatorLuo, MRen_US
dc.date.accessioned2022-09-19T02:00:06Z-
dc.date.available2022-09-19T02:00:06Z-
dc.identifier.urihttp://hdl.handle.net/10397/95407-
dc.language.isoenen_US
dc.publisherOptical Society of Americaen_US
dc.rights© 2017 Optical Society of Americaen_US
dc.rights© 2017 Optica Publishing Group. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.en_US
dc.rightsThe following publication Minchen Wei, Yuzhao Wang, Shining Ma, and Ming Ronnier Luo, "Chromaticity and characterization of whiteness for surface colors," Opt. Express 25, 27981-27994 (2017) is available at https://doi.org/10.1364/OE.25.027981.en_US
dc.titleChromaticity and characterization of whiteness for surface colorsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage27981en_US
dc.identifier.epage27994en_US
dc.identifier.volume25en_US
dc.identifier.issue23en_US
dc.identifier.doi10.1364/OE.25.027981en_US
dcterms.abstractWhiteness is an important colorimetric characteristic for surface colors. The CIE whiteness formula, the most widely used formula, only characterizes the whiteness of a surface color under CIE standard D65 and requires a sample to be within a small chromaticity region. In this study, 20 observers evaluated the whiteness appearance of 88 samples under four light settings at different CCT levels (i.e., 3000, 4000, 5000, and 6500 K). The 88 samples were carefully selected and the spectral power distributions of the light settings were carefully designed using a spectrally tunable LED device, so that the chromaticities of the samples under each light settings uniformly covered a wide range along the yellow/blue direction in a color space, which had never been realized before. The results, together with the two recent studies, allowed the derivation of ellipsoids for classifying the whiteness appearance for surface colors. For the samples within the derived ellipsoids, though the Uchida whiteness formula with CAT02 (WUchida,CAT02) had a higher correlation to the perceived whiteness than the CIE whiteness formula with CAT02 (WCIE,CAT02), samples that were perceived as white and had a high chroma with a hue angle of blue due to the high violet/ultraviolet radiation in the illumination may had a negative WUchida,CAT02 value. A comprehensive whiteness formula that can accurately characterize the whiteness appearance for surface colors under an arbitrary light source by considering different conditions is still necessary and the work is undergoing.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationOptics express, 13 Nov. 2017, v. 25, no. 23, p. 27981-27994en_US
dcterms.isPartOfOptics expressen_US
dcterms.issued2017-11-13-
dc.identifier.scopus2-s2.0-85033575079-
dc.identifier.eissn1094-4087en_US
dc.description.validate202209 bckwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberRGC-B2-1256, BEEE-0588-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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