Estimation of accelerated motion for motion-compensated frame interpolation

Peter Csillag; Lilla Boroczky

doi:10.1117/12.233275

27 February 1996 Estimation of accelerated motion for motion-compensated frame interpolation

Peter Csillag, Lilla Boroczky

Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233275
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States

Abstract

In motion-compensated processing of image sequences, e.g. in frame interpolation, frame rate conversion, deinterlacing, motion blur correction, image sequence restoration, slow-motion replay, etc., the knowledge of motion is essential. In these applications motion information has to be determined from the image sequence. Most motion estimation algorithms use only a simple motion model, and assume linear constant speed motion. The contribution of our paper is the development of an algorithm for modeling and estimation of accelerated motion trajectories, based on a second order motion model. This model is more general and much closer to the real motion present in natural image sequences. The parameters of the accelerated motion are determined from two consecutive motion fields, that has been estimated from three consecutive image frames using a multiresolution pel-recursive Wiener-based motion estimation algorithm. The proposed algorithm was successfully tested on artificial image sequences with synthetic motion as well as on natural real-file videophone and videoconferencing sequences in a frame interpolation environment.

Citation Download Citation

Peter Csillag and Lilla Boroczky "Estimation of accelerated motion for motion-compensated frame interpolation", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233275

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