测试科学与仪器2026，Vol.17Issue(1)：97-113,17.DOI:10.62756/jmsi.1674-8042.2026008
基于颜色、细节、对比度协同优化和多尺度融合的水下图像增强
Underwater image enhancement through cooperative optimization of color,detail,contrast and multi-scale fusion
摘要
Abstract
Due to the absorption and scattering of light in water,underwater images commonly exhibit degradation phenomena such as color cast,low visibility,and blurred details.In response to these issues,we propose a color,detail,contrast,and multi-scale fusion underwater image enhancement algorithm called CDCM.The algorithm first uses a color restoration method based on dark and bright channels to effectively correct color distortion of underwater images and restore their natural color balance.Secondly,utilizing morphological operations to enhance the contour and structural information of objects in the image so as to improve detail representation.In addition,the black eagle optimizer(BEO)is introduced and a new fitness function is designed to adaptively optimize image contrast.In the fusion stage,principal component weights are proposed and combined with other weighting strategies to achieve multi-scale image information fusion,enhancing the contrast while preserving rich textures and details.Experimental results on two real underwater image datasets UIEB and RUIE demonstrate that our method effectively reduces degradation phenomena,with image enhancement by improvements in color fidelity,contrast,and detail clarity compared to the existing methods.In terms of objective indicators,our method is also superior to other relevant methods,such as UCIQE,UIQM,AG,IE,PCQI,etc.Our work contributes to advancing underwater image processing techniques.关键词
水下图像/色彩恢复/形态学变换/黑鹰优化算法/主成分权重/多尺度融合Key words
underwater image/color restoration/morphological transformation/black eagle optimizer(BEO)/principal component weights/multi-scale fusion引用本文复制引用
曹瑞,李波,胡红萍,张振伟,朱鑫婵..基于颜色、细节、对比度协同优化和多尺度融合的水下图像增强[J].测试科学与仪器,2026,17(1):97-113,17.基金项目
The work was supported by National Natural Science Foundation of China(No.12401703),Natural Science Foundation of Shanxi Province(No.202403021212256),and the 20th Graduate Science and Technology Project of North University of China(No.20242042). （No.12401703）
