DocumentCode
1963261
Title
An Impulse Noise Image Filter Using Fuzzy Sets
Author
Zhong-gui, Sun ; Jie, Chen ; Guang-wu, Meng
Author_Institution
Coll. of Math. Sci., Liaocheng Univ., Liaocheng
fYear
2008
fDate
23-25 May 2008
Firstpage
183
Lastpage
186
Abstract
The successful application of fuzzy set theory operators on several domains, along with the increasing need for processing digital images, have been the main motives behind the efforts concentrated on fuzzy sets. Fuzzy set theory, comparing with some other theories, can provide us with knowledge-based and robust tools for image processing. By computing the fuzziness of the pixelspsila corrupted degree and taking corresponding filter parameters, a new image filter for impulse noise is presented in this paper. Comparing with the median filter, which is excellent for impulse noise, this new filter is more effective. In the end,simulation results show that the new algorithm is feasible.
Keywords
filtering theory; fuzzy set theory; image denoising; impulse noise; median filters; fuzzy sets; impulse noise image filter; median filter; pixel corrupted degree fuzziness; Fuzzy set theory; Fuzzy sets; Image processing; Information filtering; Information filters; Information processing; Noise robustness; Noise shaping; Pixel; Shape; Digital Images; Fuzzy sets; Impulse Noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Processing (ISIP), 2008 International Symposiums on
Conference_Location
Moscow
Print_ISBN
978-0-7695-3151-9
Type
conf
DOI
10.1109/ISIP.2008.52
Filename
4554081
Link To Document