Paper Info
Title
Median-rational hybrid filters
Abstract
We introduce a new class of nonlinear filters called median-rational hybrid filters (MRHF) based on rational functions (RF). The filter output is the result of a rational operation taking into account three sub-functions, such as two FIR or median sub-filters and one center weighted median filter (CWMF). The proposed MRHF filters have the inherent property that on smooth areas they provide good noise attenuation whereas on changing areas the noise attenuation is traded for good response to the change. The performance of the proposed filter is compared against widely known nonlinear filters such as: morphological signal adaptive median filters, stack filters, rank-order morphological filters and simple rational filters. It is shown that a significant subjective improvement in the restored image quality as well as a consistent reduction in the objectively measured mean absolute error and mean square error is obtained
Year
DOI
Venue
1998
10.1109/ICIP.1998.723691
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference
Keywords
Field
DocType
FIR filters,filtering theory,image processing,median filters,rational functions,FIR sub-filters,center weighted median filter,changing areas,filter output,mean square error,median sub-filters,median-rational hybrid filters,morphological signal adaptive median filters,noise attenuation,nonlinear filters,objectively measured mean absolute error,performance,rank-order morphological filters,rational functions,restored image quality,simple rational filters,smooth areas,stack filters,subjective improvement
Median filter,Linear filter,Half-band filter,Prototype filter,Control theory,Network synthesis filters,Adaptive filter,m-derived filter,Nonlinear filter,Mathematics
Conference
Volume
ISBN
Citations 
2
0-8186-8821-1
8
PageRank 
References 
Authors
1.00
0
2
Name
Order
Citations
PageRank
Lazhar Khriji1548.72
Moncef Gabbouj23282386.30