Two-dimensional LMS adaptive filter incorporating a local-mean estimator for image processing

Author

Lin, J.-N. ; Nie, X. ; Unbehauen, R.

Author_Institution

Erlangen-Nurnberg Univ., Germany

Volume

40

Issue

7

fYear

1993

fDate

7/1/1993 12:00:00 AM

Firstpage

417

Lastpage

428

Abstract

An adaptive scheme is proposed whereby a local-mean estimation substructure is incorporated to overcome the problem of the 2-D least-mean-square (LMS) adaptive filter in dealing with signals having a nonzero mean, especially with abrupt variations (edges), which is a typical feature of practical images. The advantages of this scheme over the direct use of the 2-D LMS are considered. As a direct application, the scheme is used for adaptive cancellation of an artifact disturbance in an image. A method of implementing the local-mean estimation substructure with the edge-preserving property is introduced. Using this local-mean estimator, the scheme is applied to enhancement of images disturbed by wideband noise. All of the application examples illustrate some useful feature of the 2-D LMS adaptive filter in image processing and the improved performance of the scheme

Keywords

filtering and prediction theory; image processing; interference suppression; least squares approximations; two-dimensional digital filters; 2D filter; LMS adaptive filter; adaptive cancellation; adaptive scheme; artifact disturbance; edge-preserving property; image processing; least-mean-square; local-mean estimator; nonzero mean; wideband noise; Adaptive filters; Adaptive signal processing; Image analysis; Image processing; Least squares approximation; Noise cancellation; Signal analysis; Signal processing; Two dimensional displays; Wideband;

fLanguage

English

Journal_Title

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7130

Type

jour

DOI

10.1109/82.238369

Filename

238369