文献类型：期刊文献

中文题名：高精度亚像素全局运动估计的上采样梯度互相关算法

英文题名：High accuracy sub-pixel global motion estimation based on upsampled gradient cross-correlation algorithm

作者：余应淮[1,2];王锦荣[3]

机构：[1]广东海洋大学信息学院,湛江524088;[2]广东海洋大学海洋遥感与信息技术实验室,湛江524088;[3]贵州大学理学院,贵阳550025

年份：2012

卷号：17

期号：12

起止页码：1492

中文期刊名：中国图象图形学报

外文期刊名：Journal of Image and Graphics

收录：CSTPCD、、北大核心2011、CSCD2011_2012、北大核心、CSCD

基金：国家自然科学基金数学天元青年基金项目(11026102);教育部科学技术重点研究项目(211169)

语种：中文

中文关键词：亚像素;全局运动估计;优化滤波器;梯度互相关;上采样;矩阵相乘;抛物面拟合

外文关键词：sub-pixel; global motion estimation; optimal filter; gradient cross-correlation; upsampling; matrix multi-plication; paraboloid fitting

中文摘要：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。

外文摘要：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 pro- posed algorithm can not only achieve good robustness to the influence of noise, but can also improve the accuracy of motion estimation significantly.