Wiener Channel Smoothing: Robust Wiener Filtering of Images

Felsberg, M.
DAGM 2005
DAGM 2005
Volume 3663, Pages 468-475
2005

Abstract

In this paper, we combine the well-established technique of Wiener filtering with an efficient method for robust smoothing: channel smoothing. The main parameters to choose in channel smoothing are the number of channels and the averaging filter. Whereas the number of channels has a natural lower bound given by the noise level and should for the sake of speed be as small as possible, the averaging filter is a less obvious choice. Based on the linear behavior of channel smoothing for inlier noise, we derive a Wiener filter applicable for averaging the channels of an image. We show in some experiments that our method compares favorable with established methods.

Full Paper

Portable document format file PDF

Bibtex entry

@inproceedings{f05,
	Author = {Felsberg, M.},
	Booktitle = {DAGM 2005},
	Pages = {468--475},
	Publisher = {Springer},
	Series = {LNCS},
	Title = {Wiener Channel Smoothing: Robust {W}iener Filtering of Images},
	Volume = {3663},
	Year = {2005}
}