Sciweavers

Share
3 search results - page 1 / 1
» Randomness-in-Structured Ensembles for compressed sensing of...
Sort
View
ICIP
2009
IEEE
8 years 9 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
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., ...
Abdolreza A. Moghadam, Hayder Radha
TIP
2010
112views more  TIP 2010»
8 years 10 months ago
Variable Density Compressed Image Sampling
Compressed sensing (CS) provides an ef´Čücient way to acquire and reconstruct natural images from a reduced number of linear projection measurements at sub-Nyquist sampling rates....
Zhongmin Wang, Gonzalo R. Arce
CVPR
2005
IEEE
10 years 2 months ago
Rank-R Approximation of Tensors: Using Image-as-Matrix Representation
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...
Hongcheng Wang, Narendra Ahuja
books