Title :
Edge preserving filtering by combining nonlinear mean and median filters
Author :
Nie, Xiaoning ; Unbehauen, Rolf
Author_Institution :
Lehrstuhl fuer Allgemeine & Theor. Elektrotech., Erlangen-Nurnberg Univ., Germany
fDate :
11/1/1991 12:00:00 AM
Abstract :
A very general class of nonlinear filters, called mapping order-statistics filters (MOSFs), is introduced. A subclass of the MOSFs called Lp-mean median filters (Lp-MMFs) is discussed. The Lp-MMF shows better properties in preserving edges and attenuating positive and negative impulse noise simultaneously than do the nonlinear mean filters. In the analysis of the deterministic properties of the Lp-MMF, the concept of a monotonic trend region is introduced. A necessary condition for a signal to be a root signal is given. This necessary condition is also valid for the known finite-impulse-response median hybrid filter
Keywords :
digital filters; filtering and prediction theory; signal processing; FIR filter; Lp-mean median filters; edge preserving filtering; finite-impulse-response median hybrid filter; mapping order-statistics filters; monotonic trend region; nonlinear filters; root signal; signal processing; Data analysis; Filtering; Nonlinear filters; Signal processing;
Journal_Title :
Signal Processing, IEEE Transactions on