Abstract
The current two mainstream motion compensation techniques, pel-recursive and block matching algorithms are first reviewed and experimental results and comments are given. Estimation and motion compensation techniques using image pyramids are then introduced, and a new ‘reduced-mean’ pyramid data structure is proposed, which gives more accurate motion vectors than conventional techniques without the transmission of extra data. Results obtained by the use of our pyramid algorithms show smaller motion compensated frame differences than those of pel-recursive and block matching algorithms, and the pyramid algorithm is also more efficient in the presence of large amounts of motion.
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