15 search results - page 1 / 3 » Super-Resolution Using Sub-band Constrained Total Variation |
SCALESPACE
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Super-resolution of a single image is a severely ill-posed problem in computer vision. It is possible to consider solving this problem by considering a total variation ba...
ICIP
2008
IEEE
13 years 10 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...
ICANN
2010
Springer
13 years 5 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...
KES
2008
Springer
13 years 4 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...
DAGM
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. In this paper, we propose a variational framework for computing a superresolved image of a scene from an arbitrary input video. To this end, we employ a recently proposed...