Motion estimation at image borders
An image, in-image technology, applied in the field of motion estimation, which can solve problems such as artifacts, incorrect motion vectors, etc.
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[0034] As will be shown in more detail below, a so-called 3D recursive search algorithm can be used for fast motion estimation. In this algorithm, motion estimation is performed by minimizing a matching error, such as the sum of absolute errors (SAD) between two pixel blocks for a set of candidate motion vectors. In a commonly used implementation, 8x8 pixel blocks are used for block matching. Block matching will be described in more detail in FIG. 1 . For each pixel block, multiple candidate motion vectors can be estimated. These candidate motion vectors are obtained from the best matching vectors of neighboring blocks. Some of these blocks have been processed in the same motion estimation, and the resulting motion vectors are called spatial candidate motion vectors, while in this motion estimation, other blocks have not been calculated, so they contain the previous motion Estimated motion vectors. The motion vectors generated by these blocks are called temporal candidate ...
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