Restoring Integral Images from Focal Stacks Using Compressed Sensing Techniques

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...

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Bibliographic Details
Published in:Journal of display technology 2016-07, Vol.12 (7), p.701-706
Main Authors: Trujillo-Sevilla, J. M., Katkovnik, Vladimir, Javidi, Bahram, Rodriguez-Ramos, J. M.
Format: Article
Language:English
Subjects:
Arrays
Cameras
Compressed sensing
Cross sections
Detection
Display devices
focal stack
Image reconstruction
Image restoration
integral imaging
Integrals
Lenses
Radon
Stacks
Transforms
Two dimensional
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Summary: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.
ISSN:1551-319X
1558-9323
DOI:10.1109/JDT.2016.2522922