四川轻化工大学学报（自然科学版）2025，Vol.38Issue(4)：79-91,13.DOI:10.11863/j.suse.2025.04.09
基于Lab颜色空间的煤矿井下复杂光线图像增强算法
An Image Enhancement Algorithm Based on Lab Color Space for Complex Light in Coal Mine
摘要
Abstract
During the video collection process in coal mines,uneven lighting often leads to issues such as insufficient brightness,overexposure,loss of details,and low contrast in monitoring images.To address these problems,an image enhancement algorithm based on Lab color space for complex light in coal mine is proposed in the present study,taking detail enhancement and brightness correction into account when enhancing images.In terms of detail enhancement,principal component analysis is used for denoising and feature extraction to obtain a detail-enhanced image after converting the original image into a grayscale image.For brightness correction,a sharpening-smoothing filter and contrast-limited adaptive histogram equalization are applied to perform the multi-scale decomposition and correction of the brightness space in Lab color space,to obtain corrected brightness components.Subsequently,the detail-enhanced image is fused with the corrected brightness space to generate a brightness-enhanced image in the Lab color space.Finally,the Lab color space images are converted to RGB images by inverse transformation.Experimental results demonstrate that the proposed algorithm outperforms comparative algorithms in handling coal mine images under different lighting conditions.In terms of evaluation indicators such as IE,SD,NIQE,SSIM and PSNR,the comparison algorithm significantly improves;compared with the input image,the average improvement of IE,SD,SSIM and PSNR of the proposed algorithm is 11.31%,22.39%,45.44%,and 47.85%,respectively,with a NIQE decrease of 23.86%at the same time.关键词
多尺度锐化-平滑滤波器/主成分分析/CLAHE算法/Lab颜色空间/复杂光线Key words
multi-scale sharpening-smoothing filter/principal component analysis/CLAHE algorithm/Lab color space/complex light分类
信息技术与安全科学引用本文复制引用
金钟杨,吴浩,陶晶,吴昊翰,周媛..基于Lab颜色空间的煤矿井下复杂光线图像增强算法[J].四川轻化工大学学报（自然科学版）,2025,38(4):79-91,13.基金项目
四川省科技厅项目(2022YFS0518 （）
2022ZHCG0035) （）
智能感知与控制四川省重点实验室项目(2023RYY06) （2023RYY06）
企业信息化与物联网测控技术四川省高校重点实验室项目(2022WYY04) （2022WYY04）
自贡市科技局项目(2019YYJC13 （）
2019YYJC02 （）
2020YGJC16) （）
四川轻化工大学人才引进项目(2021RC12) （2021RC12）
四川轻化工大学研究生创新基金项目(Y2022145) （Y2022145）
