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Investigation of parametric effects using medium colour‐difference pairs
Author(s) -
Xin John H.,
Lam Chuen Chuen,
Luo M. Ronnier
Publication year - 2001
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/col.1053
Subject(s) - colour difference , mathematics , significant difference , color difference , parametric statistics , statistics , sample (material) , sample size determination , optics , artificial intelligence , computer science , chemistry , physics , chromatography , enhanced data rates for gsm evolution
The article investigates five types of parametric effects in assessing colour difference. The visual assessment experiments were conducted in six phases. The viewing parameters studied include the sample separation, sample size, and the background colours. The dataset prepared in this study includes a total of 107 cotton‐dyed pairs belonging to five colour centers. The average colour difference of the sample pairs was about 5.0 CIELAB units. Gray‐scale method was used for colour‐difference assessment with a panel of 10 observers (2 assessments each). The CIELAB colour‐difference formula was found to have the best performance over other formulae using the current dataset. In general, the parametric effects vary from 8–15%. When further analyzing the colour centers, it was found that much larger parametric effects of 42% and 26% were associated, respectively, with green sample pairs assessed on the green background and blue samples pairs assessed on the blue background. The green and blue background colours in these two cases are very close to the green and blue colour centers selected, which clearly indicates the crispening effect. © 2001 John Wiley & Sons, Inc. Col Res Appl, 26, 376–383, 2001