Performance evaluation of objective quality metrics on HLG-based HDR image coding

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• dc.contributor.author Sugito, Yasuko
• dc.contributor.author Bertalmío, Marcelo
• dc.date.accessioned 2020-01-21T16:54:48Z
• dc.date.available 2020-01-21T16:54:48Z
• dc.date.issued 2018
• dc.description Comunicació presentada a: 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), celebrada a Anaheim, Estats Units d'Amèrica, del 26 al 29 de novembre de 2018.ca
• dc.description.abstract We evaluate the performance of objective quality metrics for high dynamic range (HDR) image coding that uses the transfer function (TF) of the Hybrid Log-Gamma (HLG) method. Previous evaluations of objective metrics for HDR image coding have studied which of them are reliable predictors of perceived quality; however, in those tests, all the non-linear transforms used both for encoding and by the best-performing metrics are essentially very similar and based on visual perception data of detection thresholds for lightness variations. The HLG non-linearity on the other hand is very different, as it is designed for backward compatibility with standard dynamic range (SDR) displays. We test a variety of options for objective metrics, including HLG-based. Our results show that the ranking of metrics for HDR coding changes drastically depending on the TF used for compression.en
• dc.description.sponsorship This work has partially received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement number 761544 (project HDR4EU) and under grant agreement number 780470 (project SAUCE), and by the Spanish government and FEDER Fund, grant ref. TIN2015-71537-P(MINECO/FEDER, UE)en
• dc.format.mimetype application/pdf
• dc.identifier.citation Sugito Y, Bertalmío M. Performance evaluation of objective quality metrics on HLG-based HDR image coding. In: 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP); 2018 Nov 26-29; Anaheim, CA, USA. [New York]: IEEE; 2018. p. 96-100. DOI: 10.1109/GlobalSIP.2018.8646673
• dc.identifier.doi http://dx.doi.org/10.1109/GlobalSIP.2018.8646673
• dc.identifier.uri http://hdl.handle.net/10230/43327
• dc.language.iso eng
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
• dc.relation.ispartof 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP); 2018 Nov 26-29; Anaheim, CA, USA. [New York]: IEEE; 2018. p. 96-100.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761544
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/780470
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-71537-P
• dc.rights © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/GlobalSIP.2018.8646673
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword High dynamic range (HDR)en
• dc.subject.keyword Hybrid Log-Gamma (HLG)en
• dc.subject.keyword Transfer function (TF)en
• dc.subject.keyword Image codingen
• dc.subject.keyword Objective quality metricen
• dc.title Performance evaluation of objective quality metrics on HLG-based HDR image codingen
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion