Premium
Cross‐media performance evaluation of color models for unequal luminance levels and dim surround
Author(s) -
Hseue TungChang,
Shen YuChuan,
Chen PoChi,
Hsu WenHsing,
Liu YuanTe
Publication year - 1998
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/(sici)1520-6378(199806)23:3<169::aid-col9>3.0.co;2-o
Subject(s) - luminance , artificial intelligence , mathematics , computer vision , color model , color difference , color balance , observer (physics) , similarity (geometry) , paired comparison , computer science , color image , image (mathematics) , statistics , color space , image processing , physics , enhanced data rates for gsm evolution , quantum mechanics
A performance evaluation of color models between softcopy and hardcopy images was constructed closely following the CIE Technical Committee 1–27 guidelines. Conventionally, color models' performances were frequently evaluated under simplified environments, e.g., equally low luminance levels and dark surround. In this study, in the consideration of unequal luminance levels and dim surround, the two techniques of memory matching and paired comparison were used to assess the color similarity of two paired softcopies reproduced by four color models (i.e., von Kries, CIELAB, RLAB, and Hunt) against an original hardcopy image. Evaluated results based on the rank order of the Z scale values of thirty ordinary observers demonstrated that, on average, the Hunt model achieved the best color prediction against the worst one of the RLAB model. In addition, the aspects of screen uniformity, observer precision, and image and model dependencies were considered. © 1998 John Wiley & Sons, Inc. Col Res Appl, 23, 169–177, 1998