Fast block matching algorithm based on subblock mean
基于子块均值的快速块匹配算法

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.