Sampling optimization for on-chip compressive video

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

1 Scopus citations

Abstract

In this paper, we consider the problem of on-chip temporal compressive sensing for video reconstruction at high frame-rates without the need of any additional optical components. We devise an optimization scheme in order to achieve adequate spatio-temporal sampling of subsequent frames under maximal capturing speed, based on the bandwidth constraints of a sensor. We test this optimization strategy on a commercially available camera and propose a set of reconstruction steps that can achieve reasonable performance but, at the same time, accommodate high-resolution video reconstruction under realistic time requirements. Our analysis constitutes a set of first steps bringing high-speed compressive video capture within the realm of commercial availability.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
PublisherIEEE Computer Society
Pages3329-3333
Number of pages5
Volume2015-December
ISBN (Electronic)9781479983391
DOIs
StatePublished - Dec 9 2015
EventIEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada
Duration: Sep 27 2015Sep 30 2015

Other

OtherIEEE International Conference on Image Processing, ICIP 2015
CountryCanada
CityQuebec City
Period9/27/159/30/15

Keywords

  • CMOS sensor
  • compressive sensing
  • high-speed video
  • Sampling optimization

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Fingerprint Dive into the research topics of 'Sampling optimization for on-chip compressive video'. Together they form a unique fingerprint.

Cite this