Multistage block-matching motion estimation for superresolution video reconstruction
Hong Li, Roberto Sannino, Jarkko Kari · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
The performance of superresolution video enhancement relies heavily on the robustness and accuracy of motion estimation techniques. In this paper, we propose a novel and efficient block matching motion estimation algorithm suitable for estimating general motion existing in low resolution video frames. We exploit the spatial correlations between motion vectors and apply a coarse-to-fine multi-stage scheme to get the dense motion fields. We incorporate our motion estimation technique into the Projection Onto Convex Sets (POCS) superresolution framework. Experimental results show that the resulting high resolution images yield visual sharper enhanced images with significant PSNR improvement.