智能系统学报2025，Vol.20Issue(3)：641-648,8.DOI:10.11992/tis.202405026
高低频特征融合的低照度图像增强方法
Low light image enhancement based on high and low frequency feature fusion
摘要
Abstract
To address the imbalance between performance and cost in existing low light image enhancement,a low light image enhancement method is proposed based on high and low frequency feature fusion.By integrating multi-scale data,this fusion combines geometrically rich low frequency features with semantically rich high frequency features to obtain enhanced images,thereby reducing cost while guaranteeing good image quality.To enhance the feature extraction abil-ity in a low light environment,the residual mix-attention module is designed to focus more on important local regions from the pixel and channel perspectives.To address the information loss due to downsampling,the feature merging module is used to supplement the features after downsampling.Additionally,a multi-residual dense block module is de-signed to strengthen the feature-reuse capability.Furthermore,the see-in-the-dark dataset was subjected to experiments.Overall,this method achieved peak signal-to-noise ratio and structural similarity of 29.67 and 0.792,respectively,with only 1.5×106 parameters.关键词
低照度/图像增强/高频特征/低频特征/特征融合/注意力/多尺度/残差网络/密集连接Key words
low light/image enhancement/high frequency feature/low frequency feature/feature fusion/attention/multi-scale/residual net/dense connection分类
信息技术与安全科学引用本文复制引用
王德文,胡旺盛,张润磊,赵文清..高低频特征融合的低照度图像增强方法[J].智能系统学报,2025,20(3):641-648,8.基金项目
国家自然科学基金项目(62371188). （62371188）
