An Effective Three-step Search Algorithm for Motion Estimation
In order to reduce the computational complexity for motion estimation and improve the reliability of the image sequences for super-resolution reconstruction, an effective three-step search algorithm is presented. Based on the center-biased characteristic and parallel processing of the motion vector, the new algorithm adopts the multi-step search strategy. In the region where the best matching points exist, the small square template which is used in the new three-step search algorithm is replaced by a small diamond template which improves the search accuracy. Experimental results show that, compared with the full search algorithm, diamond search algorithm and the predictive diamond search algorithm, the new algorithm not only ensures the search accuracy but also reduces calculation time by a large margin.
SUN Ning-ning FAN Chao XIA Xu
College of Information Science and Technology, Henan University of Technology,Zhengzhou,450001,China
国际会议
2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)
济南
英文
400-403
2009-08-14(万方平台首次上网日期,不代表论文的发表时间)