DocumentCode
319565
Title
FFF: Fast fuzzy filtering in image restoration
Author
Suthaharan, Shan ; Zhang, Zhongwei ; Harvey, Alan
Author_Institution
Sch. of Comput., Monash Univ., Clayton, Vic., Australia
Volume
1
fYear
1997
fDate
4-4 Dec. 1997
Firstpage
9
Abstract
Fast fuzzy filtering (FFF), based on fuzzy logic, is a new technique for detail-preserving smoothing of noisy image data. This paper shows how a hierarchical fuzzy approach can be used to perform detail sharpening of an image corrupted by noise. Results of computer simulation show that the proposed fuzzy approach performs better for further reduction of noise presented in an image.
Keywords
image restoration; Wiener filter; computer simulation; detail-preserving smoothing; fast fuzzy filtering; fuzzy logic; fuzzy sets; hierarchical fuzzy approach; image restoration; noise corrupted image; noise reduction; noisy image data; Degradation; Equations; Filtering; Frequency domain analysis; Fuzzy logic; Image restoration; Layout; Pixel; Signal to noise ratio; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location
Brisbane, Qld., Australia
Print_ISBN
0-7803-4365-4
Type
conf
DOI
10.1109/TENCON.1997.647246
Filename
647246
Link To Document