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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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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container_end_page 706
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container_start_page 701
container_title Journal of display technology
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creator Trujillo-Sevilla, J. M.
Katkovnik, Vladimir
Javidi, Bahram
Rodriguez-Ramos, J. M.
description 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.
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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
title Restoring Integral Images from Focal Stacks Using Compressed Sensing Techniques
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