TY - GEN
T1 - The necessity of a whiteness scale for FWA-enhanced whites
AU - Luo, M. R.
AU - Wei, M.
AU - Ma, S.
N1 - Publisher Copyright:
© Society for Imaging Science and Technology 2016.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85020882459&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85020882459
T3 - Final Program and Proceedings - IS and T/SID Color Imaging Conference
SP - 237
EP - 241
BT - CIC 2016 - 24th Color and Imaging Conference
PB - Society for Imaging Science and Technology
T2 - 24th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2016
Y2 - 7 November 2016 through 11 November 2016
ER -