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dc.contributor.authorMantiuk, Rafalen
dc.date.accessioned2017-11-13T12:54:38Z
dc.date.available2017-11-13T12:54:38Z
dc.date.issued2016-08-03en
dc.identifier.isbn9781467399616en
dc.identifier.issn1522-4880
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/268988
dc.description.abstract© 2016 IEEE.The paper discusses the use of existing metrics, such as HDR-VDP and extensions of MS-SSIM and PSNR, for prediction of quality in high dynamic range (HDR) images and video. The discussion is based on the experience in using those metrics to evaluate and improve image compression for the new JPEG XT standard, and video compression for the LumaHDR open source codec. The paper explains why existing non-HDR metrics perform very poorly on HDR data and how to improve their predictions. Since most HDR metrics require calibrated data, intended for an HDR display, such calibration step is explained. One of the popular HDR quality metrics, HDR-VDP, is briefly introduced with the update on the latest improvements. Finally, several studies comparing objective HDR metric performance are summarized.
dc.titlePracticalities of predicting quality of high dynamic range images and videoen
dc.typeConference Object
prism.endingPage908
prism.publicationDate2016en
prism.publicationNameProceedings - International Conference on Image Processing, ICIPen
prism.startingPage904
prism.volume2016-Augusten
dc.identifier.doi10.17863/CAM.15196
dcterms.dateAccepted2014-03-21en
rioxxterms.versionofrecord10.1109/ICIP.2016.7532488en
rioxxterms.versionAM*
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2016-08-03en
dc.contributor.orcidMantiuk, Rafal [0000-0003-2353-0349]
rioxxterms.typeConference Paper/Proceeding/Abstracten


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