南京信息工程大学学报2024，Vol.16Issue(1)：97-105,9.DOI:10.13878/j.cnki.jnuist.20230407001
基于自适应维纳滤波和2D-VMD的声呐图像去噪算法
Sonar image denoising algorithm based on adaptive Wiener filtering and 2D-VMD
摘要
Abstract
Sonar images are prone to problems such as low contrast,low resolution,and edge distortion,so it is dif-ficult to accurately separate effective signals from noise when removing noise from sonar images,resulting in reduced image contrast,unclear edge contours,and severe detail loss after denoising.Therefore,this paper proposes a sonar image denoising algorithm based on adaptive Wiener filtering and 2D-VMD(Two Dimensional Variational Mode De-composition).First,a noisy image is decomposed using 2D-VMD to obtain a series of sub modes with different center frequencies.Effective modal components are obtained via correlation coefficients and structural similarity,then pro-cessed by adaptive Wiener filtering,and finally the filtered modal components are reconstructed to remove noise.The experimental results show that the proposed image denoising algorithm achieves the best results in terms of correla-tion coefficient and structural similarity,with a peak signal-to-noise ratio slightly lower than that of NSST domain de-noising.Taking into account objective data and visual effects,the algorithm proposed in this paper achieves the best performance in image details and edge preservation after removing noise.关键词
图像去噪/二维变分模态分解/自适应维纳滤波/模态分量/声呐图像Key words
image denoising/two dimensional variational mode decomposition(2D-VMD)/adaptive Wiener filte-ring/modal component/sonar image分类
信息技术与安全科学引用本文复制引用
冯伟,刘光宇,刘彪,周豹,赵恩铭..基于自适应维纳滤波和2D-VMD的声呐图像去噪算法[J].南京信息工程大学学报,2024,16(1):97-105,9.基金项目
国家自然科学基金(62065001) （62065001）
海洋智能装备与系统教育部重点实验室开放基金(MIES-2023-02) （MIES-2023-02）
云南省地方本科高校基础研究联合专项资金(202101BA070001-054) （202101BA070001-054）
云南省中青年学术和技术带头人后备人才项目(202205AC160001) （202205AC160001）
