2-D adaptive CPWQ fast filtering based on weighted least-squares errors

Author

Sakrani, Samir ; Sayadi, Mounir ; Fnaiech, Farhat

Author_Institution

CEREP, ESSTT, Tunis, Tunisia

fYear

2004

fDate

2004

Firstpage

697

Lastpage

700

Abstract

In this paper, a two-dimensional (2-D) fast adaptive filtering algorithm based on the exponentially weighted least squares errors is developed for the non linear canonical piecewise quadratic (CPWQ) model. This algorithm take advantages of the non linear CPWQ modeling and the fast convergence of the exponentially weighted least squares adaptive algorithm. The simulation results show that the proposed method gives good results in image restoration. Experimental comparison with the canonical piecewise linear (CPWL) model shows the superiority of the non linear filter in term of image enhancement.

Keywords

adaptive filters; filtering theory; image enhancement; image restoration; least squares approximations; nonlinear filters; 2D adaptive CPWQ fast filtering; CPWL; canonical piecewise linear model; canonical piecewise quadratic model; image enhancement; image restoration; least-squares errors; nonlinear filter; two-dimensional fast adaptive filtering algorithm; Adaptive algorithm; Adaptive filters; Convergence; Filtering algorithms; Image enhancement; Image restoration; Least squares methods; Nonlinear filters; Piecewise linear techniques; Two dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Communications and Signal Processing, 2004. First International Symposium on

Print_ISBN

0-7803-8379-6

Type

conf

DOI

10.1109/ISCCSP.2004.1296506

Filename

1296506