Title :
Image restoration by adaptive fuzzy optimal filter
Author :
Wang, Jung Hua ; Yu, Min Der
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
Abstract :
Filtering is a fundamental technique in image processing. Median filter is one of the most popular nonlinear filters and it preserves edges in image while removing impulsive noise effectively. Fuzzy filters are a novel class of nonlinear operators that have been demonstrated to be capable of addressing image processing applications. In this paper, we use a new nonlinear fuzzy filter, namely adaptive fuzzy optimal filter, which is shown more powerful for image restoration than conventional median filters. It can also improve the weakness of adaptive fuzzy median filter in the case that the noise rate is below 20%
Keywords :
adaptive filters; computer vision; fuzzy logic; fuzzy systems; image restoration; nonlinear filters; adaptive fuzzy optimal filter; image processing; image restoration; nonlinear fuzzy filter; Adaptive filters; Filtering; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Image processing; Image restoration; Nonlinear filters; Oceans; Pixel;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.537871
