液晶与显示2025，Vol.40Issue(3)：481-492,12.DOI:10.37188/CJLCD.2024-0165
基于Retinex的可变注意力低照度水下图像增强
Variable attention low illumination underwater image enhancement based on Retinex
摘要
Abstract
To address issues of insufficient illumination and complex degradation caused by underwater scattering in low-light underwater image enhancement tasks,we propose a Retinex-based variable attention framework.An illumination-guided variable attention module is designed,which uses semantic information from brightness feature maps to enhance dark regions and improve the adaptive enhancement capability of the model.We construct a spatial-frequency domain feature fusion module,which enhances the prominence of image texture information through multi-scale feature extraction and inter-level feature fusion.A medium transmission module is introduced to further address image artifacts caused by underwater scattering during enhancement.The experimental results show that compared with other cutting-edge methods,our method has significant improvements in four objective indicators,with PSNR reaching 22.781 8,SSIM reaching 0.882 1,UCIQE reaching 0.614 6,and UIQM reaching 3.365 9.The enhanced images exhibit excellent visual quality,validating the effectiveness of our algorithm in improving the clarity of low-light underwater images.关键词
水下图像增强/低照度/Retinex/可变注意力Key words
underwater image enhancement/low illumination/retinex/variable attention分类
计算机与自动化引用本文复制引用
陶洋,龚霁霆,周立群..基于Retinex的可变注意力低照度水下图像增强[J].液晶与显示,2025,40(3):481-492,12.基金项目
国家重点研发计划(No.2019YFB2102001) Supported by National Key R&D Program of China(No.2019YFB2102001) （No.2019YFB2102001）
