43 search results - page 1 / 9 » ReconNet: Non-Iterative Reconstruction of Images from Compre... |
120
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ICIP
2009
IEEE
14 years 10 months ago
2009
IEEE
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
140
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
122
Voted
ICIP
2008
IEEE
16 years 2 months ago
2008
IEEE
Previous compressive sensing papers have considered the example of recovering an image with sparse gradient from a surprisingly small number of samples of its Fourier transform. T...
113
Voted
ICMCS
2010
IEEE
14 years 11 months ago
2010
IEEE
In a multiview-imaging setting, image-acquisition costs could be substantially diminished if some of the cameras operate at a reduced quality. Compressed sensing is proposed to ef...
116
Voted
ICIP
2009
IEEE
15 years 7 months ago
2009
IEEE
Recently, there has been growing interest in using compressed sensing to perform imaging. Most of these algorithms capture the image of a scene by taking projections of the imaged ...