Restoring Integral Images from Focal Stacks Using Compressed Sensing Techniques

J. M. Trujillo-Sevilla, Vladimir Katkovnik, Bahram Javidi, J. M. Rodríguez-Ramos

    Research output: Contribution to journalArticleScientificpeer-review

    2 Citations (Scopus)


    This paper contains an original development of the compressed sensing technique for restoring integral images from a number of observed 2D images. The proposed data acquisition uses a conventional camera equipped with a horizontal 1D mask placed in the pupil plane of the lens. The compressed sensing style algorithm developed is based on a sparsity hypothesis imposed on 2D cross sections of the light field.

    Original languageEnglish
    Pages (from-to)701-706
    Number of pages6
    JournalJournal of Display Technology
    Issue number7
    Publication statusPublished - 1 Jul 2016
    Publication typeA1 Journal article-refereed


    • Compressed sensing
    • focal stack
    • integral imaging

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics


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