高精度亚像素全局运动估计的上采样梯度互相关算法

余应淮; 王锦荣

doi:10.11834/jig.20121205

图像处理和编码 | 浏览量 : 0 下载量: 44 CSCD: 0

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专辑

高精度亚像素全局运动估计的上采样梯度互相关算法
High accuracy sub-pixel global motion estimation based on upsampled gradient cross-correlation algorithm
2012年17卷第12期页码：1492-1499
纸质出版：2012
DOI： 10.11834/jig.20121205
稿件说明：

移动端阅览

余应淮, 王锦荣. 高精度亚像素全局运动估计的上采样梯度互相关算法[J]. 中国图象图形学报, 2012,17(12):1492-1499. DOI： 10.11834/jig.20121205.

Yu Yinghuai, Wang Jinrong. High accuracy sub-pixel global motion estimation based on upsampled gradient cross-correlation algorithm[J]. Journal of Image and Graphics, 2012, 17(12): 1492-1499. DOI： 10.11834/jig.20121205.

摘要

运动估计在视频图像压缩、超分辨率重建、拼接、目标检测等方面具有重要的应用意义。针对高精度的亚像素运动估计问题

引入一种优化滤波器用于计算图像梯度

并采用上采样与抛物面拟合梯度互相关曲面相结合的方法

探讨一种高精度的亚像素全局运动估计算法。实验结果表明

该算法不仅对噪声影响具有较好的鲁棒性

同时能够有效地提高运动估计的精确性。

Abstract

Motion estimation is significant in the applications of video image compression

super-resolution reconstruction

mosaic

and target detection

and so on. In this letter

we present an improved algorithm for the problem of highly accurate sub-pixel global motion estimation

which introduces an optimal filter for computing image gradient

and also adopts the method of combining upsampling with paraboloid fitting gradient cross-correlation. Experimental results show that the proposed algorithm can not only achieve good robustness to the influence of noise

but can also improve the accuracy of motion estimation significantly.