Conversion of sparsely-captured light field into alias-free fullparallax multiview content

Erdem Sahin, Suren Vagharshakyan, Robert Bregovic, Gwangsoon Lee, Atanas Gotchev

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Abstract

    We propose shearlet decomposition based light field (LF) reconstruction and filtering techniques for mitigating artifacts in the visualized contents of 3D multiview displays. Using the LF reconstruction capability, we first obtain the densely sampled light field (DSLF) of the scene from a sparse set of view images. We design the filter via tiling the Fourier domain of epipolar image by shearlet atoms that are directionally and spatially localized versions of the desired display passband. In this way, it becomes possible to process the DSLF in a depth-dependent manner. That is, the problematic areas in the 3D scene that are outside of the display depth of field (DoF) can be selectively filtered without sacrificing high details in the areas near the display, i.e. inside the DoF. The proposed approach is tested on a synthetic scene and the improvements achieved by means of the quality of the visualized content are verified, where the visualization process is simulated using a geometrical optics model of the human eye.

    Original languageEnglish
    Title of host publicationElectronic Imaging
    Subtitle of host publicationStereoscopic Displays and Applications XXIX
    PublisherSociety for Imaging Science and Technology
    Pages1441-1445
    Number of pages5
    DOIs
    Publication statusPublished - 2018
    Publication typeA4 Article in a conference publication
    EventIS&T International Symposium on Electronic Imaging -
    Duration: 28 Jan 20182 Feb 2018

    Publication series

    Name
    ISSN (Electronic)2470-1173

    Conference

    ConferenceIS&T International Symposium on Electronic Imaging
    Period28/01/182/02/18

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Computer Science Applications
    • Human-Computer Interaction
    • Software
    • Electrical and Electronic Engineering
    • Atomic and Molecular Physics, and Optics

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