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dc.contributor.authorMantiuk, Rafal
dc.contributor.authorKim, Minjung
dc.contributor.authorAshraf, Maliha
dc.contributor.authorXu, Qiang
dc.contributor.authorLuo, Ronnier
dc.contributor.authorMartinovic, Jasna
dc.contributor.authorWuerger, Sophie
dc.date.accessioned2021-04-13T10:38:11Z
dc.date.available2021-04-13T10:38:11Z
dc.date.issued2020-11
dc.identifier.isbn9781713826972
dc.identifier.issn2166-9635
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/319807
dc.description.abstractWe model color contrast sensitivity for Gabor patches as a function of spatial frequency, luminance and chromacity of the background, modulation direction in the color space and stimulus size. To fit the model parameters, we combine the data from five independent datasets, which let us make predictions for background luminance levels between 0.0002 cd/m2and 10 000 cd/m2, and for spatial frequencies between 0.06 cpd and 32 cpd. The data are well-explained by two models: a model that encodes cone contrast and a model that encodes postreceptoral, opponent-color contrast. Our intention is to create practical models, which can well explain the detection performance for natural viewing in a wide range ofconditions. As our models are fitted to the data spanning very large range of luminance, they can find applications in modeling visual performance for high dynamic range and augmented reality displays.
dc.publisherSociety for Imaging Science and Technology
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titlePractical color contrast sensitivity functions for luminance levels up to 10000 cd/m^2
dc.typeConference Object
prism.publicationDate2020
prism.publicationName28th Color and Imaging Conference Final Program and Proceedings
prism.volume28
dc.identifier.doi10.17863/CAM.66932
dcterms.dateAccepted2020-09-01
rioxxterms.versionofrecord10.2352/issn.2169-2629.2020.28.1
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2020-11
dc.contributor.orcidMantiuk, Rafal [0000-0003-2353-0349]
dc.identifier.eissn2169-2629
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/P007902/1)
pubs.funder-project-idEuropean Research Council (725253)
cam.issuedOnline2020-11-04
pubs.conference-nameColor Imaging Conference (CIC28)
pubs.conference-start-date2020-11-04
pubs.conference-finish-date2020-11-19


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International