24 search results - page 1 / 5 » Super-Resolution via Recapture and Bayesian Effect Modeling |
CVPR
2009
IEEE
15 years 11 days ago
2009
IEEE
This paper presents Bayesian edge inference (BEI), a
single-frame super-resolution method explicitly grounded in
Bayesian inference that addresses issues common to existing
meth...
TIP
2011
12 years 11 months ago
2011
—In this paper, we address the super resolution (SR) problemfromasetofdegradedlowresolution(LR)imagestoobtain a high resolution (HR) image. Accurate estimation of the sub-pixel m...
TIP
2010
12 years 12 months ago
2010
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
CVPR
2010
IEEE
12 years 2 months ago
2010
IEEE
Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...
IBPRIA
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. This paper extends and generalizes the Bayesian semisupervised segmentation algorithm [1] for oil spill detection using SAR images. In the base algorithm on which we buil...