福建电脑2025，Vol.41Issue(5)：13-17,5.DOI:10.16707/j.cnki.fjpc.2025.05.003
多层次特征提取在微光图像增强的应用
Application of Multilevel Feature Extraction for Shimmering Image Enhancement
吴振才 1崔世杰1
作者信息
- 1. 商丘工学院信息与电子工程学院 河南 商丘 476000
- 折叠
摘要
Abstract
This paper proposes a low light image enhancement method based on deep multi-level feature extraction to address the impact of degradation factors such as low brightness,low contrast,and noise on advanced visual tasks in low light images.By extracting low light image features at multiple levels of depth and using channel self attention mechanism to calculate channel weights,the ability of network color restoration is improved.Send the non-linear activated feature map into a feature enhancement module that does not share parameters,and enhance different levels of features separately to improve the network's ability to handle different degradation factors.The experimental results show that the proposed method can simultaneously handle various degradation factors of low light images,and is superior to other comparative methods in subjective evaluation and multiple objective evaluation indicators.关键词
图像增强/多层次深度特征/微光图像Key words
Image Enhancement/Multi Level Deep Features/Low Light Image分类
电子信息工程引用本文复制引用
吴振才,崔世杰..多层次特征提取在微光图像增强的应用[J].福建电脑,2025,41(5):13-17,5.
