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Proceedings Paper

Some New Techniques in Displacement Estimation Algorithms
Author(s): Kan Xie; Luc Van Eycken; Andre Oosterlinck
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Paper Abstract

In this paper, some new techniques in displacement estimation algorithms are presented. The concepts of the correlation of motion vectors and motion tendency estimation are introduced to improve the performance of the conventional displacement estimation algorithms. A simple formula for pelrecursive algorithm has been derived from the theoretical differential method, and the tenable and convergence conditions for this formula are discussed as well. In the actual image processing, the "oscillation" and 'unstability may happen in some places where the formula is invalid, and displacement estimation may be far away from the actual one. Sonic new measures and techniques are introduced to alleviate these effects. Starting from the published displacement estimation algorithms, a group of improved pel-recursive algorithms have been developed. In this paper, the emphasis is put on the evaluation of displacement estimation algorithms instead of the actual realization of a coding scheme using these algorithms. The performance of the proposed algorithms is evaluated and compared with that of the conventional algorithms. The experiment shows that a substantial improvement has been obtained both on the estimation accuracy and the convergence rate. Current results indicate a reduction of the average number of iterations by a factor of 7 - 20, and a reduction of the match entropy by a factor of 3-20 on the image sequences examined.

Paper Details

Date Published: 1 November 1989
PDF: 12 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970015
Show Author Affiliations
Kan Xie, University of Leuven (Belgium)
Luc Van Eycken, University of Leuven (Belgium)
Andre Oosterlinck, University of Leuven (Belgium)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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