111 search results - page 8 / 23 » Block Compressed Sensing of Images Using Directional Transfo... |
92
Voted
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
High resolution through-the-wall radar imaging (TTWRI) demands wideband signals and large array apertures. Thus a vast amount of measurements is needed for a detailed reconstructi...
77
Voted
ICIP
2007
IEEE
15 years 11 months ago
2007
IEEE
Compressed sensing or compressive sampling (CS) has been receiving a lot of interest as a promising method for signal recovery and sampling. CS problems can be cast as convex prob...
ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incohe...
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth...