43 search results - page 1 / 9 » ReconNet: Non-Iterative Reconstruction of Images from Compre... |
ICIP
2009
IEEE
13 years 2 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...
ICASSP
2011
IEEE
12 years 8 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...
ICIP
2008
IEEE
14 years 6 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...
ICMCS
2010
IEEE
13 years 3 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...
ICIP
2009
IEEE
13 years 11 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 ...