Blockmatching motion estimation algorithms-new results

An efficient method for block-matching motion estimation is considered for interframe motion-compensated prediction of video signals. In contrast to other block-matching methods, this approach takes into consideration the behavior of individual pels in the search to find the best match. This is achieved by classifying each pel in the block into one of the categories of matching pel or mismatching pel. The best match within a search area is the block with the highest number of matching pels. In the simulation results presented the scheme is compared with other well-known block-matching schemes. It is found that this method performs significantly better than a scheme such as mean absolute difference (MAD), with lower computation cost.< >