华中科技大学学报（自然科学版）2026，Vol.54Issue(3)：175-180,188,7.DOI:10.13245/j.hust.250208
基于双路权重映射与模糊核估计水下图像增强
Underwater image enhancement based on dual-channel weight mapping and kernel estimation
摘要
Abstract
To address the issue of image degradation caused by complex underwater environments,an underwater image enhancement algorithm was proposed.On one hand,the color corrected white balanced image was obtained by the red and blue channels compensation,and the white balanced image was divided into independent components which a gamma component and a sharpening component by adaptive contrast gamma correction and normalized unsharp masking,the normalized weight coefficients were derived through Laplacian contrast weight and saliency weight,which was designed to preserve more edge,texture,and structural details.On the other hand,Gaussian pyramid was introduced for normalized weight map sampling,meanwhile,Laplacian pyramid sampling was used for the dual-path image components.The initial reconstruction image was obtained based on a multi-scale pyramid fusion strategy.In addition,a variational energy equation is employed to reduce the blurring caused by scattering.The results show that compared with other state of art algorithms,the proposed method surpasses all advanced comparative algorithms in subjective assessment and objective assessment,which can effectively reduce color distortion and improve the image contrast and clarity.关键词
水下图像/图像增强/双路权重映射/颜色校正/模糊核估计Key words
underwater image/image enhancement/dual-channel weight mapping/color correction/kernel estimation分类
信息技术与安全科学引用本文复制引用
姜迈,张利民,李新飞,姜雪傲..基于双路权重映射与模糊核估计水下图像增强[J].华中科技大学学报（自然科学版）,2026,54(3):175-180,188,7.基金项目
国家自然科学基金资助项目(5237110401) （5237110401）
公安部科技强警基础工作专项(2022JC02) （2022JC02）
沈阳市中青年科技创新人才支持计划资助项目(RC220480) （RC220480）
辽宁省教育厅基本科研项目(JYTMS20231419) （JYTMS20231419）
中央高校基本科研项目(C2023013). （C2023013）
