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dc.contributor.authorBakke, Arne Magnus
dc.contributor.authorFarup, Ivar
dc.contributor.authorHardeberg, Jon Yngve
dc.date.accessioned2010-11-24T09:01:47Z
dc.date.available2010-11-24T09:01:47Z
dc.date.issued2010
dc.identifier.citationJournal of Imaging Science and Technology, vol. 54, nr. 5en_US
dc.identifier.issn1062-3701
dc.identifier.urihttp://hdl.handle.net/11250/142484
dc.descriptionThis is the journal's version originally published in Journal of Imaging Science and Technology. Reprinted with permission of IS & T: The Society for Imaging Science and Technology sole copyright owners of the Journal of Imaging Science and Technology: www.imaging.orgen_US
dc.description.abstractSeveral techniques for the computation of gamut boundaries have been presented in the past. In this article we take an in-depth look at some of the gamut boundary descriptors used when performing today's gamut mapping algorithms. We present a method for evaluating the mismatch introduced when using a descriptor to approximate the boundary of a device gamut. First, a visually verified reference gamut boundary is created by triangulating the gamut surface using a device profile or a device characterization model. The different gamut boundary descriptor techniques are then used to construct gamut boundaries based on several sets of simulated measurement data from the device. These boundaries are then compared against the reference gamut by utilizing a novel voxel based approach. Results from experiments using several gamut boundary descriptors are presented and analyzed statistically. The modified convex hull algorithm proposed by Balasubramian and Dalal performs well for all the different data sets.en_US
dc.language.isoengen_US
dc.publisherThe Society for Imaging Science and Technologyen_US
dc.relation.urihttp://www.imaging.org/IST/store/epub.cfm?abstrid=44117en_US
dc.subjectgamut boundary descriptorsen_US
dc.subjectgamut mapping algorithmsen_US
dc.titleEvaluation of Algorithms for the Determination of Color Gamut Boundariesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.subject.nsiVDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429en_US
dc.source.pagenumber11en_US


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