Title :
An iterative method for image enhancement based on fuzzy logic
Author :
Farbiz, Farzam ; Motamedi, Seyed Ahmad ; Menhaj, Mohammad Bagher
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
This paper presents a new filtering approach based on fuzzy-logic which has high performance in mixed noise environments. This filter is mainly based on the idea that each pixel is not allowed to be uniformly fired by each of the fuzzy rules. We perform several test experiments in order to highlight the merit of the proposed method. The results are very promising and indicating the high performance of the proposed filter in image restoration compared with those of the filters which have been previously cited in image processing literature
Keywords :
Gaussian noise; filtering theory; fuzzy logic; image enhancement; image restoration; iterative methods; Gaussian noise; filtering approach; fuzzy logic; fuzzy rules; high performance; image enhancement; image restoration; impulsive noise; iterative method; mixed noise environments; pixel; test experiments; Filtering; Filters; Fuzzy logic; Image enhancement; Image processing; Image restoration; Iterative methods; Performance evaluation; Testing; Working environment noise;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.678141
