微型机与应用2011，Vol.30Issue(17)：36-39,4.
一种视频监控图像条纹噪声的快速检测方法
An efficient striping noise detection method for the video surveillance image
摘要
Abstract
To solve the striping noise problem that occurred in the video surveillance image, this paper presents a fast method for detecting periodical stripe noise which based on stripe characteristics analyses of an image frame. Firstly, frequency spectrum is divided into two sub-bands by using relative distance. Then, detect if there is any exceptional point in each sub-band by using cumulative distribution or threshold methods. Lastly, presence or absence of stripe noise can be determined. Since the counts of scanning computation can be decreased according to symmetry property of abnormal point in the frequency spectrum, algorithm efficiency can be improved clearly. Experimental results show that the proposed algorithm can effectively detect many kinds of periodical stripe noises in the video monitoring sequence with better effectiveness and computation speed.关键词
视频监控图像/条纹噪声/傅里叶变换/累积分布函数Key words
video surveillance image/stripe noise/Fourier transform/the cumulative distribution function分类
信息技术与安全科学引用本文复制引用
王珩,陈淑荣..一种视频监控图像条纹噪声的快速检测方法[J].微型机与应用,2011,30(17):36-39,4.基金项目
上海海事大学基金项目 （）
