Refinement process for binary-block motion estimation based on an equivalent-distortion surface model

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.