Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

10

ICPR
2010
IEEE

favoriteEmaildiscussreport

231views Computer Vision» more ICPR 2010»

Fast Super-Resolution Using Weighted Median Filtering

13 years 7 months ago

Fast Super-Resolution Using Weighted Median Filtering

Download imaging.cs.msu.su

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.

Andrey Nasonov, Andrey S. Krylov

Real-time Traffic

Basic Edges Metrics | Computer Vision | ICPR 2010 | Non-iterative Method | Weighted Median Filtering |

claim paper

Related Content

» SuperResolution Iris Image Restoration using Single Image for Iris Recognition

» Programmable Hardware Implementation for the MedianRational Hybrid Filters

» The PBF of One Weight Weighted Median Filters

» An Efficient Design Method for Optimal Weighted Median Filtering

» Fast Modified Vector Median Filter

» Repeated median and hybrid filters

» Image processing using cellular neural networks based on multivalued and universal binary ...

» HWSW DesignBased Implementation of Vector Median Rational Hybrid Filter

» Multichannel fast QRdecomposition algorithms weight extraction method and its applications

Post Info
More Details (n/a)

Added	08 Sep 2010
Updated	08 Sep 2010
Type	Conference
Year	2010
Where	ICPR
Authors	Andrey Nasonov, Andrey S. Krylov

Comments (0)