7 search results - page 1 / 2 » Variational Bayesian Image Super-Resolution with GPU Acceler... |
ICANN
2010
Springer
13 years 6 months 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
13 years 11 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
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...
KES
2008
Springer
13 years 5 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
14 years 7 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...