The necessity of a whiteness scale for FWA-enhanced whites

M. R. Luo, Minchen Wei, S. Ma

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Two scales (i.e., Cho's whiteness scale and Berns' depth scale) were investigated to see whether they can accurately predict the whiteness of surface colors (e.g., textile and paper), both scales were found to be highly correlated to the NCS samples in past studies. The results indicated that the whiteness of samples without FWA-enhancement was highly correlated to both scales, but neither of them can predict the whiteness of FWA-enhanced white samples. These FWA-enhanced samples did not follow the concept that higher lightness and lower chroma produce whiter appearance. The study suggests the necessity to have a unique model to characterize the whiteness of FWA-enhanced whites, especially given the wide use of FWAs around human beings.
Original languageEnglish
Title of host publicationCIC 2016 - 24th Color and Imaging Conference
Subtitle of host publicationColor Science and Engineering Systems, Technologies, and Applications, Final Program and Proceedings
PublisherSociety for Imaging Science and Technology
Pages237-241
Number of pages5
ISBN (Electronic)9780892083244
Publication statusPublished - 1 Jan 2016
Event24th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2016 - Westgate Hotel, San Diego, United States
Duration: 7 Nov 201611 Nov 2016

Conference

Conference24th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2016
Country/TerritoryUnited States
CitySan Diego
Period7/11/1611/11/16

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

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