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Fine color metric (FCM)

Fine color metric (FCM) Optimal discrimination ellipsoids were calculated from the data on color differences of commercial importance, available in the studies by Davidson and Friede, Kuehni, Metropolitan Section AATCC, Morley, Munn and Billmeyer, and Robinson, and in the new VVVR data. The analysis led to an improved uniform color space and a color‐difference formula, the merits of which are compared to those of the CIELUV and the CIELAB formulas. The CIE formulas break down for saturataed red and blue colors. The new color‐difference formula presents a fair approach to the ultimate aim, that visually equal color differences should be rated with equal numerical value throughout color space. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Color Research & Application Wiley

Fine color metric (FCM)

Color Research & Application , Volume 3 (2) – Jun 1, 1978

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References (21)

Publisher
Wiley
Copyright
Copyright © 1978 Wiley Periodicals, Inc., A Wiley Company
ISSN
0361-2317
eISSN
1520-6378
DOI
10.1002/col.5080030203
Publisher site
See Article on Publisher Site

Abstract

Optimal discrimination ellipsoids were calculated from the data on color differences of commercial importance, available in the studies by Davidson and Friede, Kuehni, Metropolitan Section AATCC, Morley, Munn and Billmeyer, and Robinson, and in the new VVVR data. The analysis led to an improved uniform color space and a color‐difference formula, the merits of which are compared to those of the CIELUV and the CIELAB formulas. The CIE formulas break down for saturataed red and blue colors. The new color‐difference formula presents a fair approach to the ultimate aim, that visually equal color differences should be rated with equal numerical value throughout color space.

Journal

Color Research & ApplicationWiley

Published: Jun 1, 1978

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