Paper Info
Title
Denoising Robust Image Filter With Retention Of Small-Size Details In Presence Of Complex Noise Mixture
Abstract
In this paper, we present the implementation of the robust detail preserving filters with complex noise suppression for image processing applications. The designed filter is the consequential connection of two filters. The first filter uses the value of central pixel of the filtering window to provide the preservation of fine details and the redescending M-estimators combined with the median estimator to provide impulsive noise rejection. The second filter uses the output of the first filter as the pre-estimator for an adaptive calculation in the redescending M-estimator. We investigated various types of influence functions in the M-estimator those are similar to the ones used in the Sigma filter to provide multiplicative noise suppression. The optimal values of the parameters of designed filters in presence of different noise mixture are determined. Different simulation data are presented in the paper and shown the statistical efficiency of the filters.
Year
DOI
Venue
2002
10.1117/12.453132
VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2002, PTS 1 AND 2
Keywords
Field
DocType
order statistics filters, RM estimators, RM-KNN filters
Median filter,Computer science,Control theory,Salt-and-pepper noise,Artificial intelligence,Adaptive filter,m-derived filter,Nonlinear filter,Computer vision,Prototype filter,Algorithm,Composite image filter,Filter design
Conference
Volume
ISSN
Citations 
4671
0277-786X
2
PageRank 
References 
Authors
0.41
0
4
Name
Order
Citations
PageRank
Volodymyr I. Ponomaryov112418.38
Francisco J. Gallegos Funes26310.29
Oleksiy B. Pogrebnyak34311.33
Luis N. De Rivera420.74