A Low Complexity Motion Estimation Algorithm Suitable for Frame Rate Conversion
Frame rate conversion requires interpolation of image frames at time instances to increase the frame rate. In this paper we propose a new fast algorithm for block motion vector(MV) estimation based on the temporal and spatial correlations. Firstly, every nine neighboring blocks are treated as a macro-block; full search block matching algorithm is used to estimate the motion vector of the center block Then the motion vectors of the remaining blocks are estimated by using a simplified process. The experimental results demonstrate that the proposed algorithm can obtain good image quality with reduced computation complexity compared to conventional motion estimation such as full search algorithm.
Xuewei Chen Eryan Yang Jingjing Zhao
School of Communication and Information Engineering, Shanghai University, Shanghai, China
国际会议
上海
英文
761-765
2010-10-20（万方平台首次上网日期，不代表论文的发表时间）