Sciweavers

Share
DAGM
2010
Springer

A Convex Approach for Variational Super-Resolution

8 years 6 months ago
A Convex Approach for Variational Super-Resolution
We propose a convex variational framework to compute high resolution images from a low resolution video. The image formation process is analyzed to provide to a well designed model for warping, blurring, downsampling and regularization. We provide a comprehensive investigation of the single model components. The super-resolution problem is modeled as a minimization problem in an unified convex framework, which is solved by a fast primal dual algorithm. A comprehensive evaluation on the influence of different kinds of noise is carried out. The proposed algorithm shows excellent recovery of information for various real and synthetic datasets.
Markus Unger, Thomas Pock, Manuel Werlberger, Hors
Added 24 Jan 2011
Updated 24 Jan 2011
Type Journal
Year 2010
Where DAGM
Authors Markus Unger, Thomas Pock, Manuel Werlberger, Horst Bischof
Comments (0)
books