Fast Video Super-Resolution Via Classification

In this paper we propose a novel super-resolution algorithm based on motion compensation and edge-directed spatial interpolation succeeded by fusion via pixel classification. Two high-resolution images are constructed, the first by means of motion compensation and the second by means of edge-directed interpolation. The AdaBoost classifier is then used to fuse these images into an high-resolution frame. Experimental results show that the proposed method surpasses well-known resolution enhancement methods while maintaining moderate computational complexity.