%0 Journal Article
%T Motion Estimation Based On Low Frequency Sub-image<br>基于低频子图的运动估计算法
%A YU Zhi-xiong
%A SUN Hong
%A HE Jun
%A <br>余志雄
%A 孙洪
%A 贺军
%J 计算机应用
%D 2006
%I 
%X In order to reduce the computational complexity of motion estimation and improve the accuracy, a fast motion estimation algorithm based on low frequency sub-image was proposed. The algorithm firstly puts Current Frame and Reference Frame through a low-pass filter to get low frequency sub-images with quarter pixels, then attains the best matched sub-block by Full Search, at last the area of Reference Frame covered by the sub-block are searched to get the best matched point. Compared with traditional algorithm, experimental results show that this algorithm gives a significant improvement in accuracy for motion estimation and reduces the computational complexity, and nossesses strong robustness in different kinds of video sequences.
%K low frequency sub-image
%K motion estimation
%K Haar wavelet
%K block matching algorithm
%K video coding<br>低频子图
%K 运动估计
%K Haar小波
%K 块匹配算法
%K 视频编码
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=ED503D223FB53A45&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=94C357A881DFC066&sid=6A2E9D0F5619615A&eid=8E4B4A74C5BF6530&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=7