38 search results - page 4 / 8 » Iteratively reweighted algorithms for compressive sensing |
DCC
2010
IEEE
14 years 2 months ago
2010
IEEE
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
CVPR
2008
IEEE
14 years 9 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...
ICISP
2010
Springer
13 years 11 months ago
2010
Springer
Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
ACISICIS
2008
IEEE
13 years 9 months ago
2008
IEEE
Compressed sensing (CS), a joint compression and sensing process, is a emerging field of activity in which the signal is sampled and simultaneously compressed at a greatly reduced...