海南热带海洋学院学报2026，Vol.33Issue(2)：88-96,9.DOI:10.13307/j.issn.2096-3122.2026.02.08
基于ATV与联合双边滤波的NSCT声呐图像去噪
Sonar Image Denoising in NSCT Based on ATV and Joint Bilateral Filtering
摘要
Abstract
To tackle the problem of edge detail loss caused by speckle noise in sonar imaging,a multi-scale fusion-based composite denoising framework was proposed.The method establishes a dual-domain collaborative processing mecha-nism based on the non-subsampled contourlet transform(NSCT).Firstly,by introducing dual parameters—average gradi-ent and edge intensity—dynamically adjusted penalty factors for the anisotropic total variation(ATV)model were con-structed to apply to high-frequency sub-bands.Subsequently,the structural information obtained from ATV processing acted as guidance maps to drive a joint bilateral filter for edge-aware denoising,which simultaneously suppresses multipli-cative noise and builds a barrier for detail preservation.For low-frequency coefficients,bilateral filtering was employed for smoothing adjustment to effectively control residual noise.Finally,the processed high-frequency and low-frequency co-efficients were reconstructed through the inverse NSCT to obtain image denoising.The experimental results showed that,compared with wavelet transform-based denoising,traditional Split Bregman TV denoising,DWT threshold denoising,and NSST domain denoising,the proposed method more effectively reduces speckle noise,retains more image edges,and im-proves the visual quality of images.关键词
双边滤波/各向异性全变差/非下采样轮廓波变换/声呐图像去噪/斑点噪声Key words
bilateral filtering/anisotropy total variation/non-subsampled contourlet transform/sonar image denoising/speckle noise分类
信息技术与安全科学引用本文复制引用
刘彪,赖小龙,刘光宇,王芸..基于ATV与联合双边滤波的NSCT声呐图像去噪[J].海南热带海洋学院学报,2026,33(2):88-96,9.基金项目
海洋智能装备与系统教育部重点实验室开放基金项目(MIES‒2023‒02) （MIES‒2023‒02）
