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A survey on HDR visualization on mobile devices

2012-06-01Comunicação em conferência Acesso restrito
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorMagalhães, Luis
dc.contributor.authorBessa, Maximino
dc.contributor.authorUrbano, Carlos
dc.contributor.authorMelo, Miguel
dc.contributor.authorPeres, Emanuel
dc.contributor.authorChalmers, Alan
dc.contributor.editorPasi Saarikko
dc.date.accessioned2026-02-16T18:14:08Z
dc.date.available2026-02-16T18:14:08Z
dc.date.issued2012-06-01
dc.description.abstractThere is a vast body of literature concerning the capture, storing, transmission and display of High Dynamic Range (HDR) imaging. Nevertheless, there are few works that try to address the problem of getting HDR on mobile devices. Their hardware limitations, such as processing power, storage space, graphics capabilities and screen characteristics, transform that problem in a big challenge. However, since more and more HDR content is being produced and given that in a few years it can become a standard, it is necessary to provide the means to visualize HDR images and video on mobile devices. The main goal of this paper is to present a survey on HDR visualization approaches and techniques developed specifically for mobile devices. To understand what are the main challenges that need to be addressed in order to visualize HDR on mobile devices, an overview of their main characteristics is given. The very low dynamic range of most of mobile devices' displays implies that a tone mapping operator (TMO) must be applied in order to visualize the HDR content. The current status of the research on TMO will be presented and analyzed, a special attention will be given to the ones that were developed taking in account the limited characteristics of the mobile devices' displays. Another important issue is visualization quality assessment, meaning visualize HDR content without losing the main characteristics of the original HDR content. Thus, evaluation studies of HDR content visualization on mobile devices will be presented and their results analyzed.eng
dc.description.sponsorshipThis work is funded by the ERDF through the Programme COMPETE and by the Portuguese Government through FCT - Foundation for Science and Technology, project PTDC/EIA-EIA/114868/2009 entitled “ERAS - Expeditious Reconstruction of Virtual Cultural Heritage Sites”. This work is partially supported by the ICT COST Action IC1005 “HDRi: The digital capture, storage, transmission and display of real-world lighting”.
dc.identifier.citationLuis Magalhaes, Maximino Bessa, Carlos Urbano, Miguel Melo, Emanuel Peres, and Alan Chalmers "A survey on HDR visualization on mobile devices", Proc. SPIE 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II, 843607 (30 April 2012); https://doi.org/10.1117/12.924068
dc.identifier.doi10.1117/12.924068
dc.identifier.isbn978-081949128-2
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/10400.8/15659
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSPIE
dc.relation.ispartofSPIE Proceedings
dc.relation.ispartofOptics, Photonics, and Digital Technologies for Multimedia Applications II
dc.rights.uriN/A
dc.subjectHDR imaging
dc.subjectMobile devices
dc.subjectQuality assessment
dc.subjectTone Mapping Operator
dc.titleA survey on HDR visualization on mobile deviceseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2012
oaire.citation.titleProceedings of SPIE - The International Society for Optical Engineering
oaire.citation.volume8436
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameUrbano
person.givenNameCarlos
person.identifier.ciencia-idC411-8167-CF00
person.identifier.isni36634982800
person.identifier.orcid0000-0002-0959-1041
relation.isAuthorOfPublicationf8b04ea2-7f62-4bf4-ba49-c8bd54e7668a
relation.isAuthorOfPublication.latestForDiscoveryf8b04ea2-7f62-4bf4-ba49-c8bd54e7668a

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