Removal of impulse noise using a FIRE filter

Author

Russo, Fubvizio ; Ramponi, Giovanni

Author_Institution

DEEI, Trieste Univ., Italy

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

975

Abstract

FIRE (Fuzzy Inference Ruled by Else-action) operators are a family of nonlinear operators which adopt fuzzy rules to process image data. A new operator, called DS-FIRE filter, is presented in this paper for the enhancement of images corrupted by impulse noise. By performing fuzzy reasoning at two different levels, the operator is able to effectively cancel noise pulses without degrading the quality of fine details and textures. The new fuzzy rulebase and inference mechanism which have been specifically developed for this operator are described in details. Results of computer simulations show that the filter performs better than state-of the-art operators in the literature

Keywords

digital simulation; filters; fuzzy logic; image enhancement; image texture; inference mechanisms; interference suppression; knowledge based systems; uncertainty handling; DS-FIRE filter; FIRE filter; computer simulations; fine details; fuzzy inference; fuzzy reasoning; fuzzy rulebase; fuzzy rules; image data processing; image enhancement; impulse noise removal; inference mechanism; nonlinear operators; textures; Degradation; Filters; Fires; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Image processing; Noise cancellation; Noise level; Noise reduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.561068

Filename

561068