Title :
A New Filter Algorithm of Image Based on Fuzzy Logical
Author :
Zhang Hong-qiao ; Ma Xin-jun ; Wu Ning
Author_Institution :
Shenzhen Grad. Sch., Sch. of Mech. Eng. & Autom., Harbin Inst. of Technol., Shenzhen, China
Abstract :
Image denoising by using the filter algorithm is a basic problem which we would meet during the image processing. The mean filter is normally used to reduce Gaussian noise, but it is not effective to the impulse noise. While the median filter is good for reducing the impulse noise but is not well-worked for Gaussian noise. Based on the idea of fuzzy logical, this essay proposes a new kind of filter, the fuzzy filter, which could deal with the two types of noise above to some extent. Finally, according to the experiment data, we have evaluated the performance of the fuzzy filter comparing with the traditional filters and the result is acceptable.
Keywords :
Gaussian noise; fuzzy logic; image denoising; impulse noise; median filters; Gaussian noise; fuzzy filter; fuzzy logical; image denoising; impulse noise; mean filter; median filter; performance evaluation; Equations; Filtering algorithms; Gaussian noise; Mathematical model; Maximum likelihood detection; Nonlinear filters; filter algorithm; fuzzy logic; image denoising;
Conference_Titel :
Computer Science and Society (ISCCS), 2011 International Symposium on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4577-0644-8
DOI :
10.1109/ISCCS.2011.91