数字海洋与水下攻防2025，Vol.8Issue(4)：410-416,7.DOI:10.19838/j.issn.2096-5753.2025.04.004
基于双域协同驱动的水下图像增强
Underwater Image Enhancement Based on Dual-Domain Collaborative Drive
摘要
Abstract
Images captured underwater are susceptible to the absorption and scattering of light,resulting in problems such as color distortion,reduced contrast,and blurred details in underwater images.In response to the above-mentioned degradation phenomenon,we propose a dual-domain cooperative driven underwater image enhancement method.This method first centralizes the a and b color channels in the CIELab space.It combines the standard deviation constraint to stretch the color distribution to correct the color distortion problem.Subsequently,the global luminance distribution is remapped using the cumulative histogram of pixel luminance,and a feedback mechanism based on local statistics is introduced to dynamically adjust the enhancement intensity according to the exposure state of the region,achieving adaptive contrast enhancement.The experimental results show that this method exhibits excellent effects in color correction,contrast improvement,and detail enhancement.关键词
水下图像增强/颜色校正/自适应增强/双域协同驱动Key words
underwater image enhancement/color correction/adaptive contrast enhancement/dual-domain collaborative drive分类
信息技术与安全科学引用本文复制引用
周玲,郝志斌,景晓璐,喻百强,张卫东..基于双域协同驱动的水下图像增强[J].数字海洋与水下攻防,2025,8(4):410-416,7.基金项目
河南省科技研发计划联合基金青年科学家项目"耦合局部特征和层分解模型的水下机器人视觉增强研究"(235200810066) （235200810066）
河南省高等学校青年骨干教师培养计划项目"数据赋能的水下机器人视觉增强关键技术研究"(2025GGJS099) （2025GGJS099）
全国大学生创新训练项目"数模联合驱动的水下机器人视觉增强方法研究"(202510467004) （202510467004）
