摘要
针对摄像头固定状态下拍摄的视频抖动,设计了一个可以快速消除视频抖动现象的实时嵌入式电子稳像系统。系统改进了传统的灰度投影算法,对采集的视频帧序列进行预处理,估计运动矢量,投影滤波和运动补偿实现稳像功能。通过差影法和峰值信噪比法对稳像效果进行了主客观分析,分析结果表明该系统处理速度快,成本低,稳像效果较好,在视频监控、图像拼接、运动目标检测等领域都有重要的应用价值。
For dithering video captured by the fixed camera, this paper designs a real - time embedded electronic image stabilization system which can quickly eliminate the dithered phenomenon among video frame sequences. This system realizes the image stabilization function by using the improved gray projection algorithm to preprocess the video frames, estimate the motion vector, filter the projection waves and compensate the motion vector. Through the methods of difference image and PSNR (Peak Signal to Noise Ratio) to analyze the image stabilization effect, the results show that the system has quick process, low cost and good image stabilization. It has significant stitching, moving target detection, etc. application value in video surveillance, image
出处
《微处理机》
2015年第4期81-84,88,共5页
Microprocessors
基金
广东省教育部产学研项目(2012B091100062)
华南师范大学研究生科研创新基金(2013kyjj062
2014ssxm14)
关键词
嵌入式
灰度投影
电子稳像
运动补偿
差影
峰值性噪比
Embedded
Gray projection
Electronic image stabilization
Motion compensation
Subtraction image
Peak signal to noise ratio