水下无人系统学报2026，Vol.34Issue(3)：574-583,10.DOI:10.11993/j.issn.2096-3920.2026-0023
视觉任务友好的水下图像增强方法
Method of Vision-Task-Friendly Underwater Image Enhancement
摘要
Abstract
Underwater images suffer from severe color and structural distortions,which degrade the performance of various underwater vision tasks.Existing underwater image enhancement methods focus on improving visual appearance while ignoring the necessity of optimizing the downstream vision tasks.To address this issue,this paper proposed an underwater image enhancement method namely visual task-friendly network(VTF-Net).Specifically,it first designed a novel spatial-frequency fusion(SFF)module,which could significantly improve the model's perception of texture details and image fidelity.Second,to achieve efficient information transmission between the encoder and decoder,it introduced a multi-scale cross-attention(MSCA)module and a bottleneck attention(BNA)module,which enhanced the perception of global gradients while ensuring efficient feature extraction,thereby effectively alleviating color cast and blurring.Finally,in line with the concept of visual task friendliness,it proposed a detection loss function that guided the optimization direction of the model by incorporating underwater object detection results.Experimental results demonstrate that the proposed method achieves superior performance in both qualitative and quantitative evaluations and obtains the best result in the application experiment of underwater object detection.关键词
水下图像增强/视觉任务友好/注意力机制/频域感知/空域频域融合Key words
underwater image enhancement/visual task friendliness/attention mechanism/frequency domain perception/spatial-frequency fusion分类
军事科技引用本文复制引用
程淼,魏延辉,孙文斌,侯童童..视觉任务友好的水下图像增强方法[J].水下无人系统学报,2026,34(3):574-583,10.基金项目
海南省科技计划三亚崖州湾科技城科技创新联合项目(2021CXLH0001) （2021CXLH0001）
海南省外国专家项目(海南省国际科技合作人才与交流项目)(G20230607011E) （海南省国际科技合作人才与交流项目）
三亚市科技创新专项拟立项项目(2022KJCX42). （2022KJCX42）
