Image enhancement with 2-D block LMS adaptive IIR filters

Author

Tan, Alfredo C.

Author_Institution

Sch. of Eng. & Eng. Technol., Fairleigh Dickinson Univ., Teaneck, NJ, USA

Volume

3

fYear

1996

fDate

18-21 Aug 1996

Firstpage

1389

Abstract

A class of two-dimensional adaptive infinite impulse response filters using the block least-mean-square algorithm and output-error formulation is introduced. The multiplier coefficients of the adaptive filter are updated once per block of pixels rather than per pixel. This approach leads to faster implementation and lower computational complexity. Simulation results are included to demonstrate the potential applications of the proposed adaptive filters in two-dimensional system identification and image enhancement

Keywords

IIR filters; adaptive filters; computational complexity; filtering theory; identification; image enhancement; least mean squares methods; two-dimensional digital filters; 2D block LMS adaptive IIR filters; 2D system identification; block least-mean-square algorithm; computational complexity reduction; image enhancement; infinite impulse response filters; multiplier coefficients; output-error formulation; two-dimensional adaptive filters; Adaptive filters; Computational complexity; Electronic mail; Finite impulse response filter; IIR filters; Image enhancement; Least squares approximation; Noise cancellation; System identification; Two dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1996., IEEE 39th Midwest symposium on

Conference_Location

Ames, IA

Print_ISBN

0-7803-3636-4

Type

conf

DOI

10.1109/MWSCAS.1996.593202

Filename

593202