Title :
Some adaptive filtering approaches from one to two dimensional signals
Author_Institution :
Equipe Signal et Image, ENSERB, Talence, France
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;
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-8316-3
DOI :
10.1109/ACSSC.1997.680222
