基于一种新的同态滤波算法的散斑噪声压缩

提出一种新的用于压缩散斑噪声的同态滤波算法。它在同态变换后寻求滤波窗中的最均匀区域,以其灰度均值替代滤波窗中心像素值,重复迭代至其值基本不变,最后作同态变换的逆变换。仿真结果表明它较好的保持了图像的边缘和较有效地抑制了散斑噪声

Speckle Suppressing Based on A New Homomorphic Filtering Algorithm

In this paper,a new homomorphic filtering algorithm is proposed.It first makes the homomorphic transformation on the noisy signal,then finds the most homogeneous area in filter window,and replaces the central pixel gray level with its mean,repeats the operations up to unchangeableness of pixels gray level,carries out the inverse transformation in the end.Simulation results show the algorithm can not only more effectively suppress speckle noise in images but also better preserve the geometrical features of images.