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http://hdl.handle.net/10071/16670
acessibilidade
Title: Light field coding with field of view scalability and exemplar-based inter-layer prediction
Authors: Conti, C.
Soares, L. D.
Nunes, P.
Keywords: Light field
Holoscopic
Plenoptic
Integral imaging
Field-of-view scalability
Image compression
HEVC
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Abstract: Light field imaging based on microlens arrays—a.k.a. holoscopic, plenoptic, and integral imaging—has currently risen up as a feasible and prospective technology for future image and video applications. However, deploying actual light field applications will require identifying more powerful representations and coding solutions that support arising new manipulation and interaction functionalities. In this context, this paper proposes a novel scalable coding solution that supports a new type of scalability, referred to as field-of-view scalability. The proposed scalable coding solution comprises a base layer compliant with the High Efficiency Video Coding (HEVC) standard, complemented by one or more enhancement layers that progressively allow richer versions of the same light field content in terms of content manipulation and interaction possibilities. In addition, to achieve high-compression performance in the enhancement layers, novel exemplar-based interlayer coding tools are also proposed, namely: 1) a direct prediction based on exemplar texture samples from lower layers and 2) an interlayer compensated prediction using a reference picture that is built relying on an exemplar-based algorithm for texture synthesis. Experimental results demonstrate the advantages of the proposed scalable coding solution to cater to users with different preferences/requirements in terms of interaction functionalities, while providing better rate- distortion performance (independently of the optical setup used for acquisition) compared to HEVC and other scalable light field coding solutions in the literature.
Peer reviewed: yes
URI: http://hdl.handle.net/10071/16670
DOI: 10.1109/TMM.2018.2825882
ISSN: 1520-9210
Ciência-IUL: https://ciencia.iscte-iul.pt/id/ci-pub-50275
Accession number: WOS:000447824800004
Appears in Collections:IT-RI - Artigo em revista internacional com arbitragem científica

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