Title :
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
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;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.900931
