Three-D Kalman filtering of image sequences.

Abstract

The first step is the definition of a class of two and three-parameter Markov discrete processes. The linear filtering of such stochastic processes reduces to a one-parameter vectorial Markov process recursive filtering, described by Kalman's equations. The 3D filter is then broken down into a 2-D spatial filter and a 1-D time filter. This allows a very simplified algorithm. -from Authors