Fast Super-Resolution Using Weighted Median Filtering
Andrey V. Nasonov, Andrey Serdjevich Krylov · 2010
A non-iterative method of image super-resolution based on weighted median filtering with Gaussian weights is proposed. Visual tests and basic edges metrics were used to examine the method. It was shown that the weighted median filtering reduces the errors caused by inaccurate motion vectors.