Title :
Fast Super-Resolution Using Weighted Median Filtering
Author :
Nasonov, Andrey V. ; Krylov, Andrey S.
Author_Institution :
Lab. of Math. Methods of Image Process., Lomonosov Moscow State Univ., Lomonosov, Russia
Abstract :
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.
Keywords :
Gaussian processes; filtering theory; image resolution; median filters; Gaussian weights; image resampling; image super-resolution; noniterative method; weighted median filtering; Image edge detection; Image resolution; Mathematical model; Measurement; Motion estimation; Pixel; Signal resolution; super-resolution; weighted median filtering;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.546
