摘要
提出了一类新的两阶段方法来去除椒盐噪声.第一阶段,利用经典的自适应中值滤波器辨别出被噪音污染的像素点;第二阶段,利用一种自适应有限冲激响应(FIR)滤波器恢复第一阶段辨别出的污染像素点.算法保留了自适应中值滤波的低计算复杂度.计算机模拟表明该算法是可行的.
In this paper, a new two-phase approach is proposed for removing the salt-and-pepper noise. In the first phase, we use the classical adaptive median filter to identify the possible noise pixels, and then we use a new adaptive finite impulse response (FIR) filter to restore those identified pixels in the second phase. The proposed method maintains low computational complexity of the adaptive median filter. Computer simulations indicate that our approach is feasible.
出处
《应用数学与计算数学学报》
2017年第1期55-62,共8页
Communication on Applied Mathematics and Computation
基金
supported by the Natural Science Foundation of Shanghai(15ZR1416300)