Multistage motion estimation for image interpolation

摘要

In this paper we describe an algorithm for accurate motion estimation that takes into account both the motion of the camera (global motion) and the motion of the imaged objects (local motion) through the use of a multistage structure. First, global motion parameters are accurately estimated and the images are compensated for the camera motion. The local motion field is then estimated on the basis of these ‘compensated’ images. To improve the performance of this estimation, both temporal and spatial congruence constraints have been introduced. To test the performance of the proposed algorithm a motion compensated image interpolation that uses the estimated motion field has been carried out. The experimental results show the effectiveness of the proposed multistage motion estimation procedure.