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Some aspects of the visual scaling of large colour differences—II
Author(s) -
Attridge G. G.,
Pointer M. R.
Publication year - 2000
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(200004)25:2<116::aid-col6>3.0.co;2-9
Subject(s) - mathematics , colour difference , hue , power law , lightness , linear regression , scaling , linear relationship , range (aeronautics) , space (punctuation) , context (archaeology) , linear scale , visual space , statistics , linear correlation , artificial intelligence , optics , computer science , geometry , psychology , perception , physics , geography , cartography , materials science , archaeology , neuroscience , composite material , operating system
In an earlier article the authors related visually‐ scaled large colour differences to Δ E * values calculated using four colour‐difference formulae. All four metrics yielded linear regressions from plots of visual colour difference against Δ E *, and Δ E * 94gave the best linear fit, but the correlations were rather low. In an effort to clarify matters, the previous investigation is expanded to include data not hitherto examined. The link between visual colour difference and Δ E * colour metrics is further explored in terms of a power law relationship over a wide range of lightness, hue, and chroma variations within CIELAB colour space. It is shown that power‐law fits are superior to linear regressions in all cases, although correlations over large regions of the colour space are not very high. Partitioning of the experimental results to give reduced data sets in smaller regions is shown to improve correlations markedly, using power‐law fits. Conclusions are drawn concerning the uniformity of CIELAB space in the context of both linear and power‐law behavior. © 2000 John Wiley & Sons, Inc. Col Res Appl, 25, 116–122, 2000