Paper Info
Title
Nonlinear order statistic filter design: Methodologies and challenges
Abstract
Linear filtering techniques have serious limitations in dealing with signals that have been created or processed by a system exhibiting some degree of nonlinearity or, in general, situations where the relevance of information cannot be specified in frequency domain. In image processing many of these characteristics are often present and it is no wonder that image processing is the field where nonlinear filtering techniques have first shown clear superiority over linear filters. Despite this success, nonlinear filtering, excepting a few special cases, is still more of an art than an established systematic engineering discipline. Considering the immensity of the area, it can never be such but still much can be done to establish and clarify the relations of d ifferent techniques and the assumptions behind them. The present paper is a reflection on the methodologies and challenges of nonlinear filter design with special emphasis on order statistics, polynomial and rational filter classes.
Year
DOI
Venue
2000
10.5281/zenodo.37537
Tampere, Finland
Keywords
Field
DocType
noise
Frequency domain,Nonlinear system,Median filter,Linear filter,Control theory,Image processing,Filtering problem,Nonlinear filter,Computer engineering,Mathematics,Filter design
Conference
ISBN
Citations 
PageRank 
978-952-1504-43-3
2
0.50
References 
Authors
10
2
Name
Order
Citations
PageRank
Moncef Gabbouj13282386.30
Astola, Jaakko252.89