8 April 2013 Decoding of framewise compressed-sensed video via interframe total variation minimization
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J. of Electronic Imaging, 22(2), 021012 (2013). doi: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.
© 2013 SPIE and IS&T
Ying Lu, 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
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