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