An efficient method to reduce computational cost of improved super-resolution method

In this paper, we propose a method to efficiently reduce computational cost of the improved super-resolution method that achieves dense motion estimation using overlapped block matching. We focus on statistics of motion vectors allocated to a small cell, and conjoin the calculation for same motion vectors in the optimization process. This method can reduce the entire computational cost up to 29.9 ~ 49.1% depending on a given video sequence in the case that maintains the original performance of the improved super-resolution method completely. If we relax the constraint that preserves the original performance, we can further reduce computational cost up to 20.7 ~ 27.8% without serious deterioration of the quality of reconstructed images.