煤矿安全2025，Vol.56Issue(3)：207-214,8.DOI:10.13347/j.cnki.mkaq.20240748
基于光照约束的煤矿井下低光照图像增强算法
A algorithm for low light image enhancement in coal mine underground based on illumination constraints
摘要
Abstract
To address the issues of low visibility,insufficient exposure,and blurred details in images collected in coal mine environ-ments,this research introduces a low light image enhancement algorithm,which is grounded in illumination constraints.The al-gorithm structure consists of three main modules:the illumination constraint module(ICM),the illumination decomposition module(IDM),and the illumination enhancement module(IEM).The ICM captures the overall light distribution of the image,creates a gray-scale attention map to minimize illumination interference,and the IDM decomposes the image into illumination and reflection com-ponents.The IEM uses a U-Net network structure to enhance the illumination component.The enhanced illumination component is then combined with the grayscale attention map and reflection component to produce the enhanced image.Both ICM and IDM incor-porate an efficient channel attention module(ECA),which regulates light distribution and enhances the feature capture capability for illumination and reflection components.Experiments were conducted in four different scenarios,comparing this algorithm against TBEFN,RUAS,MBLLEN,KinD,and Retinex-Net algorithms.Results indicate that this algorithm surpasses others in visual inform-ation fidelity(VIF),structural similarity index metric(SSIM),and peak signal to noise ratio(PSNR),achieving averages of 0.58,0.61,and 16.58 respectively.Compared to the original model,it showed improvements of approximately 23.40%,16.07%,and 20.45%in these metrics,demonstrating optimal image enhancement effectiveness.关键词
低光照图像/图像增强算法/深度学习/光照约束/注意力模块Key words
low light image/image enhancement algorithm/deep learning/illumination constraints/attention module分类
矿业与冶金引用本文复制引用
白宇宸,苗作华,徐厚友,王梦婷..基于光照约束的煤矿井下低光照图像增强算法[J].煤矿安全,2025,56(3):207-214,8.基金项目
国家自然科学基金资助项目(41071242,41971237) （41071242,41971237）
教育部产学合作协同育人资助项目(202102136008) （202102136008）
