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From color‐matching error to large color differences
Author(s) -
Kuehni Rolf G.
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.1054
Subject(s) - color difference , mathematics , matching (statistics) , color space , data set , color vision , statistics , set (abstract data type) , artificial intelligence , combinatorics , computer science , image (mathematics) , enhanced data rates for gsm evolution , programming language
Classical color‐matching error data have been compared in L, M, S cone response space to small and large color‐difference data to reveal their agreements and divergences. The color‐matching error data analyzed (with exception of the Brown data) and, implicitly, the Boynton–Kambe data were found to be similar, with a large ratio of S increment to L increment. Another group is formed by the Richter threshold data, small color‐difference data and the CIE94 formula fitted to the latter. This group has an S/L increment ratio of approximately one third that of the first. The Optical Society of America Uniform Color Scales and the Munsell set are on average comparable and intermediate in S/L increment ratio. Color‐matching error data, threshold and small color‐difference data as well as the formula fitted to it reveal a characteristic V shape of the cone response increment functions. It is explained as the overlay of a crispening effect onto the basic global increment function revealed in Munsell or OSA‐UCS data. © 2001 John Wiley & Sons, Inc. Col Res Appl, 26, 384–393, 2001