关键词:脉冲噪声; 邻域梯度; 模糊逻辑; 噪声直方图
Impulse noise adaptive removal based on fuzzy logic
WEN Tinga, ZHOU Jiliub, HE Kunb
(a. College of Electronic & Information, b.College Computer, Sichuan University, Chengdu 610065, China)
Abstract:To remove the impulse noise with random values, this paper proposed an adaptive noise removal method based on fuzzy logic. Firstly, detected the noise pixels initially by the neighboring gradients of pixels and fuzzy logic theory. Secondly, detected the noise pixels secondarily by noise histogram statistics and excluded wrong noise pixels. Lastly, preserved the nonnoise pixels and removed noise pixels by adaptive weighted mean filter. Simulation results show that the method can get better performance than traditional algorithms and it can preserve fine edges and texture details.
Key words:impulse noise; neighboring gradients; fuzzy logic; noise histogram......