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Multi-Volumetric Refocusing of Light Fields

Sakila S. Jayaweera, Chamira U. S. Edussooriya, Chamith Wijenayake, P. Agathoklis, L.T. Bruton

2020IEEE Signal Processing Letters44 citationsDOI

Abstract

Geometric information of scenes available with four-dimensional (4-D) light fields (LFs) paves the way for post-capture refocusing. Light field refocusing methods proposed so far have been limited to a single planar or a volumetric region of a scene. In this letter, we demonstrate simultaneous refocusing of multiple volumetric regions in LFs. To this end, we employ a 4-D sparse finite-extent impulse response (FIR) filter consisting of multiple hyperfan-shaped passbands. We design the 4-D sparse FIR filter as an optimal filter in the least-squares sense. Experimental results confirm that the proposed filter provides 63% average reduction in computational complexity with negligible degradation in the fidelity of multi-volumetric refocused LFs compared to a 4-D nonsparse FIR filter.

Topics & Concepts

Finite impulse responseFilter (signal processing)Computer scienceReduction (mathematics)Filter designAlgorithmPlanarLight fieldComputer visionArtificial intelligenceMathematicsGeometryComputer graphics (images)Advanced Vision and ImagingImage Processing Techniques and ApplicationsAdvanced Image Processing Techniques
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