3 search results - page 1 / 1 » Randomness-in-Structured Ensembles for compressed sensing of... |
ICIP
2009
IEEE
13 years 2 months ago
2009
IEEE
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
TIP
2010
13 years 2 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
2005
IEEE
14 years 6 months ago
2005
IEEE
We present a novel multilinear algebra based approach for reduced dimensionality representation of image ensembles. We treat an image as a matrix, instead of a vector as in tradit...