33 search results - page 6 / 7 » A self-referencing level-set method for image reconstruction... |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
MM
2009
ACM
13 years 12 months ago
2009
ACM
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
Recent advances in spatio-spectral sampling and panchromatic pixels have contributed to increased spatial resolution and enhanced noise performance. As such, it is necessary to co...
ICIP
2006
IEEE
14 years 7 months ago
2006
IEEE
This paper proposes a new method for the selection of sets of omnidirectional views, which contribute together to the efficient representation of a 3D scene. When the 3D surface i...
ECCV
2008
Springer
14 years 7 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...