Image Deblurring of Video Surveillance System in Rainy Environment  

作　　者：Jinxing Niu Yajie Jiang Yayun Fu Tao Zhang Nicola Masini 

机构地区：[1]North China University of Water Resources and Electric Power,Zhengzhou,450045,China [2]Institute of Science of Cultural Heritage,National Research Council,C.da Santa Loja,Tito Scalo(PZ),85050,Italy

出　　处：《Computers, Materials & Continua》2020年第10期807-816,共10页计算机、材料和连续体（英文）

基　　金：This work was supported by Henan Province Science and Technology Project under Grant No.182102210065.

摘　　要：Video surveillance system is used in various fields such as transportation and social life.The bad weather can lead to the degradation of the video surveillance image quality.In rainy environment,the raindrops and the background are mixed,which lead to make the image degradation,so the removal of the raindrops has great significance for image restoration.In this article,after analyzing the inter-frame difference method in detecting and removing raindrops,a background difference method is proposed based on Gaussian model.In this method,the raindrop is regarded as a moving object relative to the background.The principle and procedure of the method are given to detect and remove raindrops.The parameters of the single Gaussian background model are studied in this article.The important parameter of the learning rate of Gaussian model is explored in order to better detection and removal of raindrops.Experiment shows that the results of removal of raindrops by using the proposed algorithm are better than that by using the inter-frame difference method.The image processing effect is the best when the learning rate is 0.6.The research results can provide technical reference for similar research on eliminating the influence of rainy weather.

关 键 词：Inter-frame difference method Gaussian model RAINDROP background difference 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]