Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/216
DC FieldValueLanguage
dc.contributor.authorLiu, Xuetingen_US
dc.contributor.otherZhang, Z.-
dc.contributor.otherHu, X.-
dc.contributor.otherWong, T. T.-
dc.date.accessioned2021-03-15T09:04:10Z-
dc.date.available2021-03-15T09:04:10Z-
dc.date.issued2018-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/216-
dc.description.abstractTone mapping is a commonly used technique that maps the set of colors in high‐dynamic‐range (HDR) images to another set of colors in low‐dynamic‐range (LDR) images, to fit the need for print‐outs, LCD monitors and projectors. Unfortunately, during the compression of dynamic range, the overall contrast and local details generally cannot be preserved simultaneously. Recently, with the increased use of stereoscopic devices, the notion of binocular tone mapping has been proposed in the existing research study. However, the existing research lacks the binocular perception study and is unable to generate the optimal binocular pair that presents the most visual content. In this paper, we propose a novel perception‐based binocular tone mapping method, that can generate an optimal binocular image pair (generating left and right images simultaneously) from an HDR image that presents the most visual content by designing a binocular perception metric. Our method outperforms the existing method in terms of both visual and time performance.en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofComputer Graphics Forumen_US
dc.titleBinocular tone mapping with improved overall contrast and local detailsen_US
dc.typejournal articleen_US
dc.identifier.doi10.1111/cgf.13580-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn1467-8659en_US
dc.description.volume37en_US
dc.description.issue7en_US
dc.description.startpage433en_US
dc.description.endpage442en_US
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairetypejournal article-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
crisitem.author.deptYam Pak Charitable Foundation School of Computing and Information Sciences-
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