Compressive video sensors using multichannel imagers.

Published

Journal Article

We explore the possibilities of obtaining compression in video through modified sampling strategies using multichannel imaging systems. The redundancies in video streams are exploited through compressive sampling schemes to achieve low power and low complexity video sensors. The sampling strategies as well as the associated reconstruction algorithms are discussed. These compressive sampling schemes could be implemented in the focal plane readout hardware resulting in drastic reduction in data bandwidth and computational complexity.

Full Text

Duke Authors

Cited Authors

  • Shankar, M; Pitsianis, NP; Brady, DJ

Published Date

  • 2010-04-01

Published In

Volume / Issue

  • 49 / 10

Start / End Page

  • B9 - 17

PubMed ID

  • 20357845

Pubmed Central ID

  • 20357845

Electronic International Standard Serial Number (EISSN)

  • 1539-4522

International Standard Serial Number (ISSN)

  • 1559-128X

Digital Object Identifier (DOI)

  • 10.1364/ao.49.0000b9

Language

  • eng