Some adaptive filtering approaches from one to two dimensional signals

Author

NAJIM, Mohamed

Author_Institution

Equipe Signal et Image, ENSERB, Talence, France

Volume

1

fYear

1997

fDate

2-5 Nov. 1997

Firstpage

323

Abstract

Line by line processing techniques that use the simple l-D algorithms do not exploit the 2-D structure and the interline dependence. In the framework of model based and adaptive filtering we consider various extensions of 1-D algorithms to 2-D algorithms. They are exercised on some applications in image processing.

Keywords

adaptive filters; adaptive signal processing; filtering theory; image enhancement; image processing; least mean squares methods; recursive estimation; 1D algorithms; 2D adaptive lattice LMS algorithm; 2D algorithms; 2D structure; adaptive filtering; discrete linear model; fast lattice recursive least squares algorithm; high order statistics; image enhancement; image processing; image texture; impulsive noise reduction; interline dependence; line processing techniques; nonlinear filter; second order statistics; signal processing; two dimensional signals; Adaptive filters; Autocorrelation; Control theory; Filtering algorithms; Image processing; Lattices; Parameter estimation; Process control; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-8316-3

Type

conf

DOI

10.1109/ACSSC.1997.680222

Filename

680222