Title :
Design of linear combination of weighted medians
Author :
Choi, Kang-Sun ; Morales, Aldo W. ; Ko, Sung-Jea
Author_Institution :
Dept. of Electron. Eng., Korea Univ., Seoul, South Korea
fDate :
9/1/2001 12:00:00 AM
Abstract :
This paper introduces a novel nonlinear filtering structure: the linear combination of weighted medians (LCWM). The proposed filtering scheme is modeled on the structure and design procedure of the linear-phase FIR highpass (HP) filter in that the linear-phase FIR HP filter can be obtained by changing the sign of the filter coefficients of the FIR lowpass (LP) filter in the odd positions. The HP filter can be represented as the difference between two LP subfilters that have all positive coefficients. This representation of the FIR HP filter is analogous to the difference of estimates (DoE) such as the difference of medians (DoM). The DoM is essentially a nonlinear HP filter that is commonly used in edge detection. Based on this observation, we introduce a class of LCWM filters whose output is given by a linear combination of weighted medians of the input sequence. We propose a method of designing the 1-D and 2-D LCWM filters satisfying required frequency specifications. The proposed method adopts a transformation from the FIR filter to the LCWM filter. We show that the proposed LCWM filter can offer various frequency filtering characteristics including “LP,” “bandpass (BP),” and “HP” responses
Keywords :
FIR filters; band-pass filters; edge detection; high-pass filters; linear network synthesis; linear phase filters; low-pass filters; median filters; two-dimensional digital filters; 1D LCWM filter design; 2D LCWM filters design; FIR HP filter representation; FIR lowpass filter; LCWM filters; LP subfilters; bandpass response; difference of estimates; difference of medians; edge detection; filter coefficients; filter transformation; frequency filtering characteristics; frequency specifications; input sequence; linear combination of weighted medians; linear-phase FIR highpass filter; nonlinear HP filter; nonlinear filtering structure; positive coefficients; Design methodology; Filtering; Finite impulse response filter; Frequency; Helium; Image edge detection; Image processing; Image recognition; Nonlinear filters; Signal processing;
Journal_Title :
Signal Processing, IEEE Transactions on