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Evaluating colour image difference metrics for gamut‐mapped images
Author(s) -
Hardeberg Jon Yngve,
Bando Eriko,
Pedersen Marius
Publication year - 2008
Publication title -
coloration technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.297
H-Index - 49
eISSN - 1478-4408
pISSN - 1472-3581
DOI - 10.1111/j.1478-4408.2008.00148.x
Subject(s) - gamut , hue , artificial intelligence , color difference , colour difference , computer vision , mathematics , image (mathematics) , image quality , similarity (geometry) , pattern recognition (psychology) , computer science , significant difference , perception , statistics , optics , enhanced data rates for gsm evolution , physics , neuroscience , biology
The quality of several colour image difference metrics, pixelwise CIELAB Δ E ab , S‐CIELAB, iCAM, Structural Similarity Index, Universal Image Quality and the hue‐angle algorithm, have been investigated. These results were compared with the results from a psychophysical experiment in which the perceptual image difference was evaluated. Six original images were reproduced using six different colour gamut‐mapping algorithms. The results of our experiment indicate that perceptual image difference cannot be directly related to colour image difference calculated by current metrics. Therefore, it is currently not possible to evaluate colour gamut mapping quality using colour image difference metrics.