43 search results - page 7 / 9 » ReconNet: Non-Iterative Reconstruction of Images from Compre... |
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
The ability of Compressive Sensing (CS) to recover sparse signals from limited measurements has been recently exploited in computational imaging to acquire high-speed periodic and...
ICASSP
2008
IEEE
15 years 3 months ago
2008
IEEE
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...
TIP
2010
14 years 7 months ago
2010
Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a reduced number of linear projection measurements at sub-Nyquist sampling rates....
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
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CORR
2012
Springer
13 years 5 months ago
2012
Springer
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...