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EMMCVPR
2009
Springer

A PDE Approach to Coupled Super-Resolution with Non-parametric Motion

13 years 10 months ago
A PDE Approach to Coupled Super-Resolution with Non-parametric Motion
The problem of recovering a high-resolution image from a set of distorted (e.g., warped, blurred, noisy) and low-resolution images is known as super-resolution. Accurate motion estimation among the low-resolution measurements is a fundamental challenge of the superresolution problem. Some recent promising advances in this area have been focused on coupling or combing the super-resolution reconstruction and the motion estimation. However, the existing approach is limited to parametric motion models, e.g., affine. In this paper, we shall address the coupled super-resolution problem with a non-parametric motion model. We address the problem in a variational formulation and propose a PDE-approach to yield a numerical scheme. In this approach, we use diffusion regularizations for both the motion and the super-resolved image. However, the approach is flexible and other suitable regularization schemes may be employed in the proposed formulation.
Mehran Ebrahimi, Anne L. Martel
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where EMMCVPR
Authors Mehran Ebrahimi, Anne L. Martel
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