21 search results - page 1 / 5 » Super-Resolution With Sparse Mixing Estimators |
TIP
2010
12 years 11 months ago
2010
We introduce a class of inverse problem estimators computed by mixing adaptively a family of linear estimators corresponding to different priors. Sparse mixing weights are calcula...
DAGM
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. This paper proposes a regression-based method for singleimage super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underl...
TIP
2010
12 years 11 months ago
2010
Multiframe super-resolution (SR) reconstruction of small moving objects against a cluttered background is difficult for two reasons: a small object consists completely of "mix...
ECCV
2006
Springer
13 years 8 months ago
2006
Springer
We present an analysis and algorithm for the problem of super-resolution imaging, that is the reconstruction of HR (high-resolution) images from a sequence of LR (lowresolution) im...
ICIP
2009
IEEE
13 years 2 months ago
2009
IEEE
Super-resolution image zooming is possible when the image has some geometric regularity. We introduce a general class of non-linear inverse estimators, which combines linear estima...