Spatio-temporal sampling for video


Journal Article

With this work we propose spatio-temporal sampling strategies for video using a lenslet array computational imaging system and explore the opportunities and challenges in the design of compressive video sensors and corresponding processing algorithms. The redundancies in video streams are exploited by (a) sampling the sub-apertures of a multichannel (TOMBO) camera, and (b) by the computational reconstruction to achieve low power and low complexity video sensors. A spatial and a spatio-temporal sampling strategy are considered, taking into account the feasibility for implementation in the focal-plane readout hardware. The algorithms used to reconstruct the video frames from measurements are also presented.

Full Text

Duke Authors

Cited Authors

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

Published Date

  • December 17, 2008

Published In

Volume / Issue

  • 7076 /

International Standard Serial Number (ISSN)

  • 0277-786X

Digital Object Identifier (DOI)

  • 10.1117/12.795753

Citation Source

  • Scopus