%0 Journal Article
%T Fast block matching algorithm based on subblock mean<br>基于子块均值的快速块匹配算法
%A GUO Li
%A SUN Xing-hua
%A YANG Jing-yu
%A <br>郭丽
%A 孙兴华
%A 杨静宇
%J 计算机应用
%D 2006
%I 
%X Integral image as an intermediate image representation can be used to calculate the sum of gray level in rectangle quickly. A novel partial matching error function was presented based on sub block mean. Experiments show that the matching error function based on subblock mean is superior to beth the full matching error function and the matching error function based on sub -sampling in terms of the motion estimation quality and speed. The matching error function based on subblock mean with the constant subblock division costs almost the same time to different matching images, which is very suitable for the real-time applications such as video compression.
%K block matching
%K integral image
%K subblock mean
%K matching error function
%K peak signal noise ratio<br>块匹配
%K 积分图像
%K 子块均值
%K 匹配误差函数
%K 峰值信噪比
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=70D583DB12E1B739&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=DF92D298D3FF1E6E&sid=2C0CC79052581771&eid=29BA6FD8D06FC06A&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=6