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Perceptual Evaluation of Color Gamut Mapping Algorithms

Dugay, Fabienne; Farup, Ivar; Hardeberg, Jon Yngve
Journal article, Peer reviewed
Accepted version
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URI
http://hdl.handle.net/11250/2461840
Date
2008
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  • Institutt for datateknologi og informatikk [3779]
  • Publikasjoner fra CRIStin - NTNU [19793]
Original version
Color Research and Application. 2008, 33 (6), 470-476.   10.1002/col.20443
Abstract
The recommendation of the CIE has been followed as closely as possible to evaluate the accuracy of five color gamut mapping algorithms (GMAs)—two nonspatial and three spatial algorithms—by psychophysical experiments with 20 test images, 20 observers, one test done on paper and a second one on display. Even though the results do not show any overall “winner,” one GMA is definitely perceived as not accurate. The importance of a high number of test images to obtain robust evaluation is underlined by the high variability of the results depending on the test images. Significant correlations between the percentage of out-of-gamut pixels, the number of distinguishable pairs of GMAs, and the perceived difficulty to distinguish them have been found. The type of observers is also important. The experts, who prefer a spatial GMA, show a stronger consensus and look especially for a good rendering of details, whereas the nonexperts hardly make a difference between the GMAs.
Publisher
Wiley
Journal
Color Research and Application

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