指挥控制与仿真2017，Vol.39Issue(5)：41-44,4.DOI:10.3969/j.issn.1673-3819.2017.05.009
结合小波分析和变分原理的雷达图像去噪模型
Radar Image Denoising Model Based on Wavelet Analysis and Variation Principle
王俊 1杨成龙1
作者信息
- 1. 陆军军官学院, 安徽 合肥 230031
- 折叠
摘要
Abstract
Aiming at the problem of the radar reconnaissance image processing in the later stage was heavily influenced by the multiplicative noise, an image denoising mode based on wavelet analysis and variation principle was proposed. First of all, the model decompose the radar reconnaissance image into a low frequency band and three high-frequency band by using bior3. 7 wavelet, then use the wavelet soft threshold method to filter the low frequency noise, and use the the improved total variation model to filter the high frequency noise. Finally, the image is obtained by the wavelet inversion. Among them, The improved total variation model is obtained by improving the diffusion coefficient and the fidelity coefficient of the original total variation model. MATLAB simulation results show that the peak signal to noise ratio of the model in this paper has been in-creased nearly 1. 2dB. Meanwhile, it can keep image edges and details very well.关键词
雷达侦察图像/图像去噪/小波变换/全变分模型/峰值信噪比Key words
radar reconnaissance image/image denoising/wavelet transform/total variation model/peak signal-to-noise ratio分类
信息技术与安全科学引用本文复制引用
王俊,杨成龙..结合小波分析和变分原理的雷达图像去噪模型[J].指挥控制与仿真,2017,39(5):41-44,4.
