The block matching technique, one of the methods for motion estimation of picture sequences, are widely used for motion-compensated picture coding and frame interpolation in TV standard conversion. As the criterion of matching, Minimum Mean Square Error (MMSE) and Minimum Mean Absolute Error (MMAE) are often used. However, it is not guaranteed that they give the visually true motion vector, especially when brightness level of the picture changes or different kinds of movement exist in a block, i.e., when the assumtion that the motion within a block is homogeneous does not hold, on which the block matching technique is based. For the purpose of obtaining the proper motion vector even when the above assumption does not hold, a new filtering scheme is presented. In this scheme, the input pictures to the block matching are filtered by a filter based on a human vision model, before entering the block matching unit.
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