7 search results - page 1 / 2 » Variational Bayesian Image Super-Resolution with GPU Acceler... |
ICANN
2010
Springer
14 years 8 days ago
2010
Springer
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
ICIP
2008
IEEE
14 years 5 months ago
2008
IEEE
In this paper we propose a novel algorithm for super resolution based on total variation prior and variational distribution approximations. We formulate the problem using a hierar...
TIP
2011
13 years 5 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...
KES
2008
Springer
13 years 11 months ago
2008
Springer
Abstract. In this paper we propose a novel algorithm for the pansharpening of multispectral images based on the use of a Total Variation (TV) image prior. Within the Bayesian formu...
ICCV
2005
IEEE
15 years 1 months ago
2005
IEEE
Face images of non-frontal views under poor illumination with low resolution reduce dramatically face recognition accuracy. This is evident most compellingly by the very low recog...