Special Section on Compressive Sensing for Imaging

Decoding of framewise compressed-sensed video via interframe total variation minimization

[+] Author Affiliations
Ying Liu

State University of New York at Buffalo, Department of Electrical Engineering, Buffalo, New York 14260

Dimitris A. Pados

State University of New York at Buffalo, Department of Electrical Engineering, Buffalo, New York 14260

J. Electron. Imaging. 22(2), 021012 (Apr 08, 2013). doi:10.1117/1.JEI.22.2.021012
History: Received August 15, 2012; Revised January 27, 2013; Accepted March 13, 2013
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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.

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Topics

Video

Citation

Ying Liu and Dimitris A. Pados
"Decoding of framewise compressed-sensed video via interframe total variation minimization", J. Electron. Imaging. 22(2), 021012 (Apr 08, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.2.021012


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