240 search results - page 2 / 48 » Fields of Experts: A Framework for Learning Image Priors |
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
Sparse image reconstruction is of interest in the fields of radioastronomy and molecular imaging. The observation is assumed to be a linear transformation of the image, and corrup...
COLT
2007
Springer
14 years 1 months ago
2007
Springer
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
With the recent availability of commercial light field cameras, we can foresee a future in which light field signals will be as common place as images. Hence, there is an immine...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...