Title :
The median and mean hybrid filters
Author :
Taguchi, Akira ; Murata, Yutaka
Author_Institution :
Fac. of Eng., Musashi Inst. of Technol., Tokyo, Japan
Abstract :
The authors develop a novel adaptive algorithm for noise filtering. This filter combines the mean filter with the median filter and achieves all kinds of noise removal as well as edge preservation. This filter reduces both impulsive and nonimpulsive noise. This filter is constructed from simple filters and there is no need for a priori information on the input signals
Keywords :
adaptive filters; filtering and prediction theory; interference suppression; signal processing; adaptive algorithm; edge preservation; hybrid filters; impulsive noise; mean filter; median filter; noise filtering; noise reduction; nonimpulsive noise; Adaptive algorithm; Adaptive filters; Additive white noise; Gaussian noise; Information filtering; Information filters; Noise reduction; Nonlinear distortion; Nonlinear filters; Smoothing methods;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176281
