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
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;
Conference_Titel :
Information Processing (ISIP), 2008 International Symposiums on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3151-9
DOI :
10.1109/ISIP.2008.52