A switchable light field camera architecture with Angle Sensitive Pixels and dictionary-based sparse coding

Matthew Hirsch, Sriram Sivaramakrishnan, Suren Jayasuriya, Albert Wang, Alyosha Molnar, Ramesh Raskar, Gordon Wetzstein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

32 Scopus citations

Abstract

We propose a flexible light field camera architecture that is at the convergence of optics, sensor electronics, and applied mathematics. Through the co-design of a sensor that comprises tailored, Angle Sensitive Pixels and advanced reconstruction algorithms, we show that - contrary to light field cameras today - our system can use the same measurements captured in a single sensor image to recover either a high-resolution 2D image, a low-resolution 4D light field using fast, linear processing, or a high-resolution light field using sparsity-constrained optimization.

Original languageEnglish (US)
Title of host publication2014 IEEE International Conference on Computational Photography, ICCP 2014
PublisherIEEE Computer Society
ISBN (Print)9781479951888
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 6th IEEE International Conference on Computational Photography, ICCP 2014 - Santa Clara, CA, United States
Duration: May 2 2014May 4 2014

Publication series

Name2014 IEEE International Conference on Computational Photography, ICCP 2014

Other

Other2014 6th IEEE International Conference on Computational Photography, ICCP 2014
Country/TerritoryUnited States
CitySanta Clara, CA
Period5/2/145/4/14

ASJC Scopus subject areas

  • Mathematics (miscellaneous)

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