Spatio-temporal Wiener filtering of image sequences using a parametric motion model

Author

Dekeyser, Fabien ; Bouthemy, Patrick ; Pérez, Patrick

Author_Institution

IRISA/INRIA, Rennes, France

Volume

1

fYear

2000

fDate

2000

Firstpage

208

Abstract

This paper deals with the use of a 2D parametric motion model in a spatio-temporal filtering scheme to reduce noise in image sequences. We estimate with a robust method an affine motion model accounting for the dominant image motion. Then, we cancel it before applying an adaptive spatiotemporal filter. We have compared the performance of several filtering techniques and evaluated the influence of the motion compensation step on this performance

Keywords

Wiener filters; adaptive filters; filtering theory; image sequences; motion compensation; motion estimation; space-time adaptive processing; video signal processing; 2D parametric motion model; IR image sequence; adaptive spatiotemporal filter; affine motion model; image motion; image sequences; motion compensation; motion estimation; noise reduction; performance; spatio-temporal Wiener filtering; video sequence; Adaptive filters; Filtering; Image sequences; Motion compensation; Motion estimation; Noise cancellation; Noise reduction; Noise robustness; Spatiotemporal phenomena; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.900931

Filename

900931