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Technical Program
Paper Detail
| Paper: | MA-P4.8 |
| Session: | Image Registration/Alignment and Mosaicking |
| Time: | Monday, October 9, 09:40 - 12:20 |
| Presentation: |
Poster
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| Title: |
USE OF MOTION INFORMATION IN SUPER-RESOLUTION MOSAICING |
| Authors: |
Petra Krämer; LaBRI, CNRS UMR 5800/ University of Bordeaux 1 | | | | | Ofer Hadar; Ben Gurion University of the Negev | | | | | Jenny Benois-Pineau; LaBRI, CNRS UMR 5800/ University of Bordeaux 1 | | | | | Jean-Philippe Domenger; LaBRI, CNRS UMR 5800/ University of Bordeaux 1 | | |
| Abstract: |
In this paper, we present a super-resolution (SR) method based on iterative backprojections. Motion information is used for the synthesis of the restoration filter in the SR method. Both, the blur estimation and the choice of the degradation model, are based on estimated global motion. The method is applied to highly under-sampled images such as DC images of MPEG compressed video and medical magnetic resonance (MR) images. Results of the comparison of our blur model with some common blur models are encouraging. |
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