摘要
为了实时地稳定摄像系统的输出视频,特别是图像序列中存在运动物体的视频,提出了一种稳像方法.首先用灰度投影算法对图像序列进行粗匹配;然后用块匹配法在粗匹配的基础上进行精确匹配;最后将两次匹配得到的运动矢量相加得到最后的运动矢量,补偿图像序列的运动.进行匹配的小块是根据参考帧的拉普拉斯变换选取的.对实时稳像实验结果的定量分析和评价表明,该方法切实可行,并具有速度快、精度高的特点.
A real-time digital image stabilization method was presented to remove unwanted shaking phenomena in the image sequences captured by hand-held camcorders without affecting moving objects in the image sequences. Firstly, the coarse matching was performed based on gray-scale projection algorithm. Secondly, the precise matching was made based on several small block matching. Finally, the image sequences were compensated with the sum of the coarse motion vector and precise motion vector. These blocks for precise matching were selected by Laplacian transformation of reference image. The analysis and evaluation of the experimental results shows the convenient, quick-response and accurate characteristics of this method.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2007年第9期1537-1540,共4页
Journal of Zhejiang University：Engineering Science
基金
浙江省教育厅科研资助项目(G20050445)
关键词
电子稳像
灰度投影算法
块匹配
拉普拉斯变换
digital image stabilization
gray-scale projection algorithm
block matching
Laplacian transformation
