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.
Original language | English |
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Pages (from-to) | 701-706 |
Number of pages | 6 |
Journal | Journal of Display Technology |
Volume | 12 |
Issue number | 7 |
DOIs | |
Publication status | Published - 1 Jul 2016 |
Publication type | A1 Journal article-refereed |
Keywords
- 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