Combined FIRE filters for image enhancement

Author

Russo, Fabrizio ; Ramponi, Giovanni

Author_Institution

Dipartimento di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy

fYear

1994

fDate

26-29 Jun 1994

Firstpage

260

Abstract

FIRE (Fuzzy Inference Ruled by Else-action) operators are a recently proposed family of rule-based fuzzy operators which address image processing applications. Focussing on the enhancement of a noisy image, it is shown in this paper how a combination of FIRE filters, acting on different supports, can yield a noticeable advantage from the point of view of noise-suppression capability and detail preservation as well. The results of the combined approach are favourably compared to those obtainable with the previous design, and are also very favourably compared with those yielded by classical (non-fuzzy) operators available in the scientific literature

Keywords

filtering theory; fuzzy logic; fuzzy set theory; image enhancement; inference mechanisms; interference suppression; FIRE filters; Fuzzy Inference Ruled by Else-action; fuzzy set theory; image enhancement; image processing; noise-suppression; rule-based fuzzy operators; Application software; Attenuation; Filters; Fires; Fuzzy logic; Fuzzy sets; Image enhancement; Image processing; Pixel; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1896-X

Type

conf

DOI

10.1109/FUZZY.1994.343756

Filename

343756