Real-time light field signal processing using 4D/5D linear digital filter FPGA circuits

dc.contributor.authorEdussooriya, CUS
dc.contributor.authorWijenayake, C
dc.contributor.authorMadanayake, A
dc.contributor.authorLiyanage, N
dc.contributor.authorPremaratne, S
dc.contributor.authorVorhies, JT
dc.contributor.authorDansereau, DG
dc.contributor.authorAgathoklis, P
dc.contributor.authorBruton, LT
dc.date.accessioned2023-04-28T06:01:32Z
dc.date.available2023-04-28T06:01:32Z
dc.date.issued2021
dc.description.abstractLight fields (LFs) and light field videos (LFVs) capture both angular and spatial variation of light rays emanating from scenes. This richness of information leads to novel applications such as post-capture refocusing, depth estimation and depth-velocity filtering which are not possible with images and videos. These capabilities come, however, with a significant increase in data to be processed. In order to fully exploit opportunities provided by LFs and LFVs, low-complexity signal processing algorithms that process LF and LFV data in realtime are required. In this paper, we survey such state-of-theart algorithms, in particular for depth filtering, refocusing and denoising of LFs and depth-velcoty filtering for LFVs, and future directions for these real-time LF an LFV processing algorithms.en_US
dc.identifier.citationIEEE Transactions on Circuits and Systems II: Express Briefsen_US
dc.identifier.databaseIEEE Xploreen_US
dc.identifier.doi10.1109/TCSII.2021.3057388en_US
dc.identifier.issue7/8en_US
dc.identifier.pgnos2735 - 2741en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/20991
dc.identifier.volume68en_US
dc.identifier.year2021en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectLight fieldsen_US
dc.subjectlight field videosen_US
dc.subjectmulti-dimensional filtersen_US
dc.subjectreal-time processingen_US
dc.subjectFPGAen_US
dc.titleReal-time light field signal processing using 4D/5D linear digital filter FPGA circuitsen_US
dc.typeArticle-Full-texten_US

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