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
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;
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
DOI :
10.1109/TENCON.1997.647246
