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Restoring Integral Images from Focal Stacks Using Compressed Sensing Techniques

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Details

Original languageEnglish
Pages (from-to)701-706
Number of pages6
JournalJournal of Display Technology
Volume12
Issue number7
DOIs
Publication statusPublished - 1 Jul 2016
Publication typeA1 Journal article-refereed

Abstract

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.

Keywords

  • Compressed sensing, focal stack, integral imaging

Publication forum classification

Field of science, Statistics Finland