F. Dekeyser, P. Pérez, P. Bouthemy. Restoration of noisy, blurred, undersampled image sequences using a parametric motion model. In Inter. Symposium on Image and Video Communications, ISIVC 2000, Rabat, Maroc, April 2000.
Download paper:
Adobe portable document (pdf)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.
This paper introduces the use of a 2D parametric motion model to reduce noise in image sequences. We estimate with a robust method an affine motion model, accounting for the dominant image motion, and then cancel it before applying an adaptive spatio-temporal filter. We have compared the performance of several filtering schemes and evaluated the influence of the motion compensation step on this performance, including the comparison to the use of a dense motion field. We then apply on the denoised image sequence a low cost scheme to reconstruct high resolution images. This scheme is derived from an iterative backprojection algorithm. We again exploit the parametric motion model to keep a good trade-off between accuracy and computation time
Patrick Pérez 
Patrick Bouthemy
@InProceedings{Dekeyser00c,
Author = {Dekeyser, F. and Pérez, P. and Bouthemy, P.},
Title = {Restoration of noisy, blurred, undersampled image sequences using a parametric motion model},
BookTitle = {Inter. Symposium on Image and Video Communications, ISIVC 2000},
Address = {Rabat, Maroc},
Month = {April},
Year = {2000}
}
Get EndNote Reference (.ref)
This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).