Frame rate up-conversion for high-definition video applications

In this paper, a novel frame rate up-conversion (FRUC) scheme to achieve better visual quality for high-definition videos is proposed. The proposed algorithm has three main advantages over conventional FRUC algorithms. First, to increase the accuracy of motion estimation, this paper considers the diversity of motions, the retiming motion vectors of the previous motion field, and an adaptive update strategy. Second, the motion vector that is selected by using the sum of the absolute differences criterion is outputted after a geometric-based motion vector restriction, thereby improving the consistency of the motion vectors. Third, post-processing is performed on the estimated motion vectors based on localized global motions which are calculated by using motion histograms. Experimental results show that the performance of the proposed algorithm significantly outperforms that of traditional methods¹.