Video dynamic interpolation based on weighted shift interframe motion model

A dynamic filtering algorithm for video sequence interpolation, which based on weighted shift interframe motion model, is proposed in this article. This paper reviews classical monoframe interpolation and multiframe interpolation. We also analyze the characteristic of the motion model in the video sequence. And after that, the motion model is modified to reduce the computation and system complexity. In the end of the paper, we make use of Kalman filtering algorithm to interpolate the image dynamically to gain high resolution. Experimental results show the validity of the algorithm.