Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Display Technology
  • Vol. 12,
  • Issue 7,
  • pp. 701-706
  • (2016)

Restoring Integral Images from Focal Stacks Using Compressed Sensing Techniques

Not Accessible

Your library or personal account may give you access

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.

© 2016 IEEE

PDF Article
More Like This
3D passive integral imaging using compressive sensing

Myungjin Cho, Abhijit Mahalanobis, and Bahram Javidi
Opt. Express 20(24) 26624-26635 (2012)

Feasibility study for super-resolution 3D integral imaging using time-multiplexed compressive coding

Ying Yuan, Xiaorui Wang, Jianlei Zhang, Xiongxiong Wu, and Yan Zhang
J. Opt. Soc. Am. A 33(7) 1377-1384 (2016)

Light field reconstruction from projection modeling of focal stack

Chang Liu, Jun Qiu, and Ming Jiang
Opt. Express 25(10) 11377-11388 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved