计算机与数字工程2016，Vol.45Issue(7)：1205-1209,1215,6.DOI:10.3969/j.issn.1672-9722.2016.07.003
基于条件滤波的数字视频稳像算法
Digital Video Stabilization Based on Conditional Filter
摘要
Abstract
In the process of motion smoothing for digital video stabilization,since one kind of filter is poor of adaptabili-ty and multi-filter is lack of stability,a conditional filter method which uses the corresponding filter in accordance with differ-ent type of jitter noise is proposed in this paper.At first,according to the characteristics of global motion of camera,jitter noise is classified as two types,including impulsive noise and random noise.Then,by analyzing the changing trend of coordi-nate of reference points in the filter window,sufficient conditions for these two types of noise are given.At last,two differ-ent motion smoothing methods,namely,improved weighted mean filter and Gaussian filter are employed for the two types of noise respectively.Meanwhile,image jitter has been solved in multi-filter.Experiments show that,compared with the meth-od of single Gaussian filter,improved Gaussian filter and mixed low-pass filter,the proposed method is more effective to fil-ter jitter noise and preserve the desirable motion.关键词
数字视频稳像/运动平滑/条件滤波/加权均值滤波/高斯滤波Key words
digital video stabilization/motion smoothing/conditional filter/weighted mean filter/Gaussian filter分类
信息技术与安全科学引用本文复制引用
潘磊..基于条件滤波的数字视频稳像算法[J].计算机与数字工程,2016,45(7):1205-1209,1215,6.基金项目
中国民航总局应用开发科技项目(编号:MHRD20140212) （编号:MHRD20140212）
中国民用航空飞行学院面上基金项目(编号:J2012-40) （编号:J2012-40）
四川省教育厅科研项目(编号:16ZB0032)资助. （编号:16ZB0032）
