81 search results - page 13 / 17 » Reconstruction of sparse signals from distorted randomized m... |
CIMAGING
2009
13 years 8 months ago
2009
Nonlinear image reconstruction based upon sparse representations of images has recently received widespread attention with the emerging framework of compressed sensing (CS). This ...
CISS
2011
IEEE
12 years 11 months ago
2011
IEEE
—Signals of interests can often be thought to come from a low dimensional signal model. The exploitation of this fact has led to many recent interesting advances in signal proces...
CVIU
2007
13 years 7 months ago
2007
We investigate the problem of automatically creating 3D models of man-made environments that we represent as collections of textured planes. A typical approach is to automatically...
ECCV
2010
Springer
14 years 16 days ago
2010
Springer
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...