We present an enhanced motion estimation and compensation algorithm by prefiltering reference frames before motion estimation. The conventional block based motion estimation algorithm gives poor performance when abrupt motion change occurs. The proposed algorithm constructs prefilters based on motion vector distribution analysis and compensates temporal sampling artifacts, such as blur or deblur, between adjacent frames. Compared to H.264/AVC, the proposed algorithm achieves significant bit-rate reduction up to 14.59%.
This paper proposes a refinement algorithm for equivalent numbers of nonmatching points on surfaces for binary-block motion estimation. The conventional binary-block motion estimation algorithms use the number of nonmatching points as a distortion criterion, and that limits the dynamic range of the distortion. The proposed algorithm performs refinement using the sum of absolute differences on surfaces that have equal numbers of nonmatching points. The refinement step improves the visual quality of binary-block motion estimation at the cost of higher computational complexity.