重庆科技学院学报（自然科学版）2024，Vol.26Issue(1)：64-69,6.DOI:10.19406/j.issn.1673-1980.2024.01.011
多尺度域视频监控图像光照分量智能校正方法
Intelligent Correction Method for Illumination Component of Video Surveillance Image in Multi-Scale Domain
摘要
Abstract
An intelligent correction method for illumination components of video surveillance images multi-scale do-main is proposed to address issues such as insufficient clarity and uneven lighting in video surveillance images.Background difference method and difference graph binarization method is applied to preprocess video surveillance images to reduce noise interference and multi-scale detail features of images is strengthened by fusing TH transform and BH transform.The control factor is used to control the sharpening intensity,and the image artifacts are avoided while the details are highlighted.The image light component is adjusted adaptively,and the two-dimensional gam-ma function is used to calculate the average brightness of the image so as to prevent over-correction so that the in-telligent correction is achieved.The test results show that the image corrected by this method is clearer,the light component is uniform,the image is less distorted and the visual effect is better.关键词
多尺度域/视频监控图像/光照分量/光照智能校正/图像预处理Key words
multi-scale domain/video surveillance images/light component/illumination intelligent correction/image preprocessing分类
信息技术与安全科学引用本文复制引用
刘文春..多尺度域视频监控图像光照分量智能校正方法[J].重庆科技学院学报（自然科学版）,2024,26(1):64-69,6.基金项目
2022 年度安徽省科研编制计划项目"高标准农田建设智慧监测管理平台应用研究"(2022AH053024) （2022AH053024）
