DocumentCode :
1948410
Title :
An image enhancement technique based on the FIRE operator
Author :
Russo, Fubrizio ; Ramponi, Giovanni
Author_Institution :
Dipartimento di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy
Volume :
1
fYear :
1995
fDate :
23-26 Oct 1995
Firstpage :
155
Abstract :
An image enhancement technique is presented which adopts a fuzzy logic approach and is based on the FIRE operator. FIRE (fuzzy inference ruled by else-action) operators are a recently introduced family of nonlinear operators which process image data by resorting to fuzzy rules. The proposed operator suitably combines sharpening and smoothing rules as well, it is able to enhance the quality of an image by using a very small rulebase. Key aspects of the proposed approach are its relative simplicity and a particular fuzzy inference mechanism which permit an easy design with very satisfactory performances
Keywords :
fuzzy logic; image enhancement; inference mechanisms; smoothing methods; FIRE operator; fuzzy inference ruled by else-action; fuzzy logic approach; fuzzy rules; image data processing; image enhancement technique; image quality; nonlinear operators; performance; sharpening rules; smoothing rules; very small rulebase; Filtering; Fires; Fuzzy logic; Fuzzy sets; Image enhancement; Image processing; Inference mechanisms; Input variables; Pixel; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
Type :
conf
DOI :
10.1109/ICIP.1995.529063
Filename :
529063
Link To Document :
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