CONFERENCE PROCEEDINGS
Advanced Search
Home > Journals > J. Electron. Imag. > Volume 22 > Issue 2 > Article
Open Access
8 April 2013 Decoding of framewise compressed-sensed video via interframe total variation minimization
Ying Lu, Dimitris A. Pados
Author Affiliations +
Journal of Electronic Imaging, Vol. 22, Issue 2, 021012 (April 2013). https://doi.org/10.1117/1.JEI.22.2.021012
Abstract
Compressed sensing is the theory and practice of sub-Nyquist sampling of sparse signals of interest. Perfect reconstruction may then be possible with significantly fewer than the Nyquist required number of data. In this work, we consider a video system where acquisition is performed via framewise pure compressed sensing. The burden of quality video sequence reconstruction falls, then, solely on the decoder side. We show that effective decoding can be carried out at the receiver/decoder side in the form of interframe total variation minimization. Experimental results demonstrate these developments.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Citation Download Citation
Ying Lu and Dimitris A. Pados "Decoding of framewise compressed-sensed video via interframe total variation minimization," Journal of Electronic Imaging 22(2), 021012 (8 April 2013). https://doi.org/10.1117/1.JEI.22.2.021012
Published: 8 April 2013
JOURNAL ARTICLE
 9 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Lens.org Logo
CITATIONS
Cited by 12 scholarly publications.
Advertisement
Advertisement
KEYWORDS
Video
Video compression
Compressed sensing
Video coding
Computer programming
Reconstruction algorithms
Quantization
CHORUS Article. This article was made freely available starting 08 April 2014
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top