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dc.contributor.authorFarag, Saberen
dc.contributor.authorVelisavljević, Vladanen
dc.date.accessioned2018-06-04T10:10:47Z
dc.date.available2018-06-04T10:10:47Z
dc.date.issued2018-06-01
dc.identifier.citationFarag S, Velisavljevic V (2018) 'A novel disparity-assisted block matching-based approach for super-resolution of light field images', 2018 3DTV-Conference (3DTV-CON) - Stockholm, IEEE.en
dc.identifier.isbn9781538661253
dc.identifier.doi10.1109/3DTV.2018.8478627
dc.identifier.urihttp://hdl.handle.net/10547/622724
dc.description.abstractCurrently, available plenoptic imaging technology has limited resolution. That makes it challenging to use this technology in applications, where sharpness is essential, such as film industry. Previous attempts aimed at enhancing the spatial resolution of plenoptic light field (LF) images were based on block and patch matching inherited from classical image super-resolution, where multiple views were considered as separate frames. By contrast to these approaches, a novel super-resolution technique is proposed in this paper with a focus on exploiting estimated disparity information to reduce the matching area in the super-resolution process. We estimate the disparity information from the interpolated LR view point images (VPs). We denote our method as light field block matching super-resolution. We additionally combine our novel super-resolution method with directionally adaptive image interpolation from [1] to preserve sharpness of the high-resolution images. We prove a steady gain in the PSNR and SSIM quality of the super-resolved images for the resolution enhancement factor 8x8 as compared to the recent approaches and also to our previous work [2].
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttps://ieeexplore.ieee.org/document/8478627
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectplenoptic cameraen
dc.subjectF360 Optical Physicsen
dc.titleA novel disparity-assisted block matching-based approach for super-resolution of light field imagesen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshireen
dc.date.updated2018-06-04T09:30:13Z
dc.description.noteconference series link https://ieeexplore.ieee.org/servlet/opac?punumber=1001624 "authors of conference articles should feel free to post their own version of their articles as accepted for publication by an IEEE conference, with the addition of a copyright notice and a Digital Object Identifier to the version of record in IEEE Xplore" https://www.ieee.org/publications/rights/author-posting-policy.html
html.description.abstractCurrently, available plenoptic imaging technology has limited resolution. That makes it challenging to use this technology in applications, where sharpness is essential, such as film industry. Previous attempts aimed at enhancing the spatial resolution of plenoptic light field (LF) images were based on block and patch matching inherited from classical image super-resolution, where multiple views were considered as separate frames. By contrast to these approaches, a novel super-resolution technique is proposed in this paper with a focus on exploiting estimated disparity information to reduce the matching area in the super-resolution process. We estimate the disparity information from the interpolated LR view point images (VPs). We denote our method as light field block matching super-resolution. We additionally combine our novel super-resolution method with directionally adaptive image interpolation from [1] to preserve sharpness of the high-resolution images. We prove a steady gain in the PSNR and SSIM quality of the super-resolved images for the resolution enhancement factor 8x8 as compared to the recent approaches and also to our previous work [2].


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