工矿自动化2024，Vol.50Issue(6)：79-88,111,11.DOI:10.13272/j.issn.1671-251x.2023080126
基于多尺度梯度域引导滤波的煤矿井下图像增强方法
A coal mine underground image enhancement method based on multi-scale gradient domain guided image filtering
摘要
Abstract
There are serious issues with uneven lighting and noise interference in coal mine underground images.The existing Retinex based methods are directly applied to enhance coal mine underground images,which are prone to problems such as halo artifacts,blurred edges,over enhancement,and noise amplification.In order to solve the above problems,a coal mine underground image enhancement method based on multi-scale gradient domain guided image filtering is proposed.Firstly,the multi-scale idea is introduced into gradient domain guided image filtering to achieve accurate estimation of non-uniform lighting,effectively solving the problems of halo artifacts and edge blurring in enhanced images.Secondly,the Retinex model is used to separate the lighting component and reflection component.For the lighting component,the lighting information is corrected pixel by pixel through an adaptive gamma correction function,which enhances the dark areas of the image while suppressing the over enhancement of the bright areas.The image contrast is adjusted using a contrast limited adaptive histogram equalization method.For the reflection component,gradient domain guided image filtering is combined with multi-scale detail enhancement to accurately remove noise and improve texture details,avoiding the problem of noise amplification during image enhancement.Finally,the processed lighting and reflection components are fused,and the image gain coefficient is calculated.The linear color restoration method is used to enhance the original RGB image pixel by pixel,improving the processing efficiency of the method.The experimental results show that,from a subjective and objective perspective,compared with existing methods,the images processed by the proposed method have achieved better enhancement effects in color preservation,contrast,noise suppression,detail preservation,and other aspects,while also having higher processing efficiency.关键词
井下图像增强/低光照图像/多尺度梯度域引导滤波/自适应伽马校正/Retinex/线性色彩恢复Key words
underground image enhancement/low lighting images/multi scale gradient domain guided image filtering/adaptive gamma correction/Retinex/linear color restoration分类
矿业与冶金引用本文复制引用
牟琦,葛相甫,王新月,李磊,李占利..基于多尺度梯度域引导滤波的煤矿井下图像增强方法[J].工矿自动化,2024,50(6):79-88,111,11.基金项目
国家重点研发计划资助项目(2022YFB3304401). （2022YFB3304401）
