Color-quality control using color-difference formulas: progress and problems
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Melgosa Latorre, Manuel; Gómez Robledo, Luis; García, P. A.; Morillas, Samuel; Fernández Maloigne, Christine; Richard, Noël; Huang, Min; Li, Changjun; Cui, G.Editorial
SPIE
Materia
Color difference color-quality control color-difference formula CIELAB CIE94 CIEDE2000 STRESS
Date
2017-08-22Referencia bibliográfica
Melgosa, M. et al. 2017. Color-quality control using color-difference formulas: progress and problems. In: Third International Conference on Applications of Optics and Photonics (Vol. 10453, pp. 201-207). SPIE. https://doi.org/10.1117/12.2271956
Sponsorship
National Government of Spain FIS2013-40661-P, FIS2016-80983-P; European Regional Development Fund (ERDF)Abstract
We report on some recent advances in industrial color-difference evaluation focused in three main fields: Development of
reliable experimental visual datasets; proposal of new color spaces and color-difference formulas; tools to evaluate the
merits of color-difference formulas. The use of fuzzy techniques to assign consistency degrees to color pairs in combined
visual datasets is described. The CIE/ISO joint proposal of the CIEDE2000 color-difference formula as a standard will
facilitate the communication among companies and users. The CIE recommendation of the STRESS index to assess
observers’ variability and relative merits of different color-difference formulas is reported. Power functions are an efficient
method to improve the performance of modern color-difference formulas. We need of advanced color-difference formulas
accounting for new materials with different kind of textures and gonioapparent effects.
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