Synthetic aperture Radar image denoising algorithm based on improved anisotropic diffusion
Hongqiang Xin, Jianzhong Huang, Feng Dang, Chao Li, Xuemei Wei, Yunchao Li, Yichun Jiang · 2022
In order to solve the problem of speckle noise in synthetic aperture radar (SAR) images, an image denoising algorithm based on improved anisotropic diffusion is proposed in this paper. In this algorithm, the diffusion coefficient c(x) based on the P-M equation diffusion filtering algorithm is improved to obtain the SAR image filtering algorithm, and the iteration termination condition is added.This method can not only solve the problem of isolated noise points existing in traditional P-M model filtering, but also has a good effect on image edge preservation. The simulation results show that the improved P-M model can eliminate the noise and keep the edge information of the image well.