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Journal of Electronic Imaging

Decoding of framewise compressed-sensed video via interframe total variation minimization
Author(s): Ying Lu; Dimitris A. Pados
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Paper 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.

Paper Details

Date Published: 8 April 2013
PDF: 9 pages
J. Electron. Imag. 22(2) 021012 doi: 10.1117/1.JEI.22.2.021012
Published in: Journal of Electronic Imaging Volume 22, Issue 2
Show Author Affiliations
Ying Lu, Univ. at Buffalo (United States)
Dimitris A. Pados, Univ. at Buffalo (United States)

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