视频微小运动放大的灰度图像方法  

Gray Image Magnification Method for Amplifying Small Motions in the Video

作　　者：何永明 陈向阳[2] HE Yongming;CHEN Xiangyang(School of Foreign Languages,Wuhan Institute of Technology,Wuhan 430205;School of Computer Science and Engineering,Wuhan Institute of Technology,Wuhan 430205)

机构地区：[1]武汉工程大学外语学院,武汉430205 [2]武汉工程大学计算机科学与工程学院,武汉430205

出　　处：《计算机与数字工程》2019年第8期2022-2026,2043,共6页Computer & Digital Engineering

基　　金：湖北省教育科学立项课题（编号：2013B060）;武汉工程大学教学研究项目（编号：X2015035）;武汉工程大学综合改革建设项目（编号：2016C）资助

摘　　要：传统的欧拉视频放大技术(EVM方法)利用色彩空间的转换,对YIQ通道分别作放大处理,可以放大视频中微小的运动,使人可见,但是这种方法运行速度很慢,为优化此问题,在EVM的基础上,提出了灰度图像放大方法(Gray或GIM方法),先是对EVM方法进行概述分析,之后选取合适的放大因子对两种方法进行实验对比,结果表明:灰度图像方法与EVM方法相比,其处理速度有显著的提高,并且放大效果良好,实际应用性更强。By transforming the original video color space and processing three channels independently in the YIQ space,Eulerian video magnification technology(EVM method)can amplify the small motion to a status that humans can see it.But this method is very time-consuming,this paper proposes a method which named the Gray Image Magnification(Gray or GIM method)based on the EVM method to optimize this problem.First the EVM method is introduced,then by comparing the result data of the both methods with the selected amplifying factor,it's found that compared with the EVM method,the Gray method has higher speed in processing the video and the amplification effect is as good as the EVM effect,which is more practical.

关 键 词：运动放大 EVM方法 灰度图像方法 图像金字塔 视频重建 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]