2-D nonlinear IIR-filters for image processing-an exploratory analysis

Author

Bauer, P.H. ; Sartori, M.

Author_Institution

Dept. of Electr. Eng., Notre Dame Univ., IN, USA

fYear

1991

fDate

11-14 Jun 1991

Firstpage

416

Abstract

A novel nonlinear IIR (infinite impulse response) filter structure is introduced and its deterministic properties are analyzed. It is shown to be better suited for image processing applications than its linear shift-invariant counterpart. The novel structure is obtained from causality inversion of a 2-D quarterplane causal linear filter with respect to the two directions of propagation. It is demonstrated that, by using this design, a nonlinear 2-D lowpass filter can be constructed which is capable of effectively suppressing Gaussian or impulse noise without destroying important image information

Keywords

filtering and prediction theory; interference suppression; low-pass filters; picture processing; stability; two-dimensional digital filters; 2D lowpass filter; Gaussian noise; causality inversion; deterministic properties; image processing; impulse noise; infinite impulse response; noise suppression; nonlinear IIR-filters; quarterplane causal linear filter; Digital filters; Gaussian noise; IIR filters; Image analysis; Image processing; Information filtering; Information filters; Laboratories; Nonlinear filters; Signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1991., IEEE International Sympoisum on

Print_ISBN

0-7803-0050-5

Type

conf

DOI

10.1109/ISCAS.1991.176362

Filename

176362