Design of weighted order statistic filters using linearly separable stack-like architecture

Author

Savin, C.E. ; Ahmad, M.O. ; Swamy, M.N.S.

Author_Institution

Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada

Volume

2

fYear

1994

fDate

3-5 Aug 1994

Firstpage

753

Abstract

This paper introduces a novel procedure for the design of weighted order statistic filters which are approximately optimal in the mean absolute error sense, for estimating a signal from a noise-corrupted observation of the same. In the proposed procedure, the design is carried out by using a new type of filter architecture designated as a linearly separable stack-like filter. An application for restoring images corrupted by impulsive noise is considered

Keywords

adaptive filters; circuit optimisation; filtering theory; image restoration; adaptive algorithm; approximately optimal filters; filter design; image restoration; impulsive noise corruption; linearly separable stack-like architecture; mean absolute error; multilevel signal threshold decomposition; noise-corrupted observation; signal estimation; weighted order statistic filters; Adaptive filters; Binary sequences; Boolean functions; Cost function; Error analysis; Filters; Image restoration; Signal design; Signal restoration; Statistics; Sufficient conditions;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on

Conference_Location

Lafayette, LA

Print_ISBN

0-7803-2428-5

Type

conf

DOI

10.1109/MWSCAS.1994.518925

Filename

518925