四川大学学报（自然科学版）2025，Vol.62Issue(6)：1406-1412,7.DOI:10.19907/j.0490-6756.250158
基于透射率快速估计的视频图像清晰化处理模型研究
Research on a fast transmittance estimation model for video image clarification processing
摘要
Abstract
To address the time complexity issues faced by traditional methods for clarifying rainy and foggy video images on machine vision mobile terminals,this research proposes a fast estimation method for atmo-spheric object transmittance using atmospheric visibility.Based on the box filter acceleration algorithm,and by employing a guided filtering method to estimate the object's ambient light,a unified arithmetic model and its processing flow architecture were constructed for clarifying rainy and foggy video images.Experimental re-sults show that the processed image quality is superior to other traditional algorithms,with a processing speed exceeding 30 frames per second,meeting real-time requirements,and demonstrating good fluidity in the pro-cessed video images.关键词
雨雾图像/清晰化/透射率/估值模型Key words
Rain/Fog-degraded images/Image dehazing/Transmittance/Estimation model分类
信息技术与安全科学引用本文复制引用
俞晓红,李炎炎,龙伟,魏鸿飞..基于透射率快速估计的视频图像清晰化处理模型研究[J].四川大学学报（自然科学版）,2025,62(6):1406-1412,7.基金项目
四川省重大科技成果转移项目(2024HCG0004) （2024HCG0004）
四川省科技重点研发项目(2023YFG0317) （2023YFG0317）
