Open AccessProper application of chromaticity gamut area metrics for displays
Author(s) -
Kenichiro Masaoka
Publication year - 2021
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.434549
Subject(s) - gamut , chromaticity , rgb color space , color space , rgb color model , computer science , color difference , computer vision , artificial intelligence , metric (unit) , computer graphics (images) , point (geometry) , optics , mathematics , color image , image processing , physics , geometry , economics , image (mathematics) , operations management , filter (signal processing)
The areal dimension in chromaticity diagrams is often used to evaluate the range of reproducible colors (or color gamut) of a display; however, its meaning is not fully understood. For consistent and meaningful color gamut comparisons, the metric needs a color space with a common chromatically adapted white point, which is not considered in legacy chromaticity gamut area metrics. This study demonstrates the validity of chromaticity gamut area metrics and clarifies the proper way to use the metrics by comparing the color gamuts of synthetic additive displays with a range of sampled RGB primaries with different white points. The study reports high correlations of 0.98-0.99 between the xy chromaticity gamut area and color gamut volume for additive displays with a common white point at 6500 K and above. However, using the "gamut rings" 2D visualization method, this study also demonstrates that use of different white points cause a failure of the chromaticity gamut area metric.