This paper proposes a new video super-resolution method based on feature-guided
variational optical flow. The key-frames are automatically selected and super-resolved using
a method based on sparse regression. To overcome the blocking artifacts and deal with the
case of small structures with large displacement, an efficient method based on feature-
guided variational optical flow is used to super-resolve the non-key-frames. Experimental
results show that the proposed method outperforms the existing benchmark in terms of both …