%0 Conference Proceedings
%F Dekeyser00a
%A Dekeyser, F.
%A Bouthemy, P.
%A Pérez, P.
%A Payot, E.
%T Super-resolution from noisy image sequences exploiting a 2D parametric motion model
%B IAPR Int. Conf. on Pattern Recognition, ICPR 2000
%V 	 3
%P 354-357
%C Barcelone, Espagne
%X 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
%8 September
%D 2000