Research on image processing using bidimensional Kalman filtering approach
In this paper, we present a bidimensional Kalman filtering approach to implement a class of 2-D image state-space model. By this approach, 2-D Kalman filtering can be transformed to 1-D Kalman filtering on rows and columns. It can diminish the computational burden significantly.