294 search results - page 8 / 59 » Compressed Sensing Of Natural Images |
ICIP
2009
IEEE
13 years 5 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., ...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
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...
ICASSP
2010
IEEE
13 years 2 months ago
2010
IEEE
An image reconstruction algorithm using compressed sensing (CS) with deterministic matrices of second-order ReedMuller (RM) sequences is introduced. The 1D algorithm of Howard et ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to...