Title :
An extended iterative method for image enhancement based on fuzzy logic
Author :
Farbiz, F. ; Menhaj, M.B.
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
The paper presents an extension of our previous fuzzy logic based filtering approach whose high performance in mixed noise environments has been reported by F. Furbiz et al. (1998). This filter has also kept the general property of not letting each pixel be uniformly fired by each of the fuzzy rules. It further aims at compressing the membership functions of fuzzy linguistic terms in each iteration to enhance the filtering ability. We show through some experiments how powerful our filter is in image enhancement
Keywords :
computational linguistics; fuzzy logic; fuzzy set theory; image enhancement; iterative methods; knowledge based systems; uncertainty handling; extended iterative method; filtering ability; fuzzy linguistic terms; fuzzy logic based filtering approach; fuzzy rules; image enhancement; membership function compression; mixed noise environments; Filtering; Filters; Fuzzy logic; Fuzzy systems; Image enhancement; Image processing; Iterative methods; Niobium; Smart pixels; Smoothing methods;
Conference_Titel :
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5578-4
DOI :
10.1109/KES.1999.820170
