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Dekeyser00a

F. Dekeyser, P. Bouthemy, P. Pérez, E. Payot. Super-resolution from noisy image sequences exploiting a 2D parametric motion model. In IAPR Int. Conf. on Pattern Recognition, ICPR 2000, Volume 3, Pages 354-357, Barcelone, Espagne, September 2000.

Abstract

We propose a low cost scheme for reconstructing high resolution images from noisy, and eventually blurred image sequences. The super-resolution is achieved with an iterative backprojection method. To account for noise in image sequence, we first apply a spatio-temporal Wiener filter computed via a 3D DFT. In the filtering process, we need to compensate for apparent motion to ensure proper results. Furthermore, the knowledge of subpixel motion is necessary for super-resolution. In both cases, we exploit a parametric motion model to keep a good trade-off between accuracy and computation time

Contact

Patrick Bouthemy
Patrick Pérez

BibTex Reference

@InProceedings{Dekeyser00a,
   Author = {Dekeyser, F. and Bouthemy, P. and Pérez, P. and Payot, E.},
   Title = {Super-resolution from noisy image sequences exploiting a 2D parametric motion model},
   BookTitle = {IAPR Int. Conf. on Pattern Recognition, ICPR 2000},
   Volume = {    3},
   Pages = {354--357},
   Address = {Barcelone, Espagne},
   Month = {September},
   Year = {2000}
}

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