电讯技术2025，Vol.65Issue(10)：1606-1613,8.DOI:10.20079/j.issn.1001-893x.240604005
基于全变分同态滤波的实孔径毫米波雷达图像噪声抑制
Noise Reduction of Real Aperture Millimeter-wave Radar Images Using Total Variation Homomorphic Filtering
摘要
Abstract
The multiplicative noise in real aperture millimeter-wave radar images makes it difficult to identify targets.To reduce the level of multiplicative noise and improve the accuracy of road environment recognition,by incorporating image segmentation techniques,an innovative radar image noise suppression algorithm based on total variation homomorphic filtering is proposed.The algorithm first segments the image to extract edge information and smooth regions.Then,in the logarithmic domain,homomorphic filtering is applied to effectively suppress multiplicative noise in the smooth regions.Finally,total variation is used for refined denoising across different regions of the image.Experimental results show that the proposed method achieves an equivalent number of looks approaching infinity in terms of noise suppression and image smoothing.In terms of edge preservation,the β-index of the proposed method also outperforms that of the reference methods.关键词
毫米波雷达图像/图像去噪/全变分/同态滤波Key words
millimeter-wave radar images/image denoising/total variation/homomorphic filtering分类
信息技术与安全科学引用本文复制引用
黄同辉,许致火..基于全变分同态滤波的实孔径毫米波雷达图像噪声抑制[J].电讯技术,2025,65(10):1606-1613,8.基金项目
江苏省自然科学基金面上项目(BK20231336) （BK20231336）
南通市社会民生科技计划-重点专项(MS12022005) （MS12022005）
