基于相位相关的快速亚像素全局运动估计

为了实现亚像素级图像快速全局运动估计,提出了一种基于相位相关的快速亚像素全局运动估计方法。首先对待计算的两幅图像进行下采样并计算整像素级的全局运动矢量,然后选取两幅图像重叠的部分进行插值,再计算亚像素级的全局运动矢量。最后,将整像素级和亚像素级的计算结果进行加权计算,得出亚像素级的全局运动位移。实验结果表明,文中算法对噪声影响、光照变化和局部遮挡具有较好的鲁棒性,同时能够有效地提高运动估计的精确性和计算效率。

Fast Sub-pixel Global Motion Estimation Based on Phase Correlation

Proposed in this paper is a fast sub-pixel algorithm based on phase correlation and image down-sampling for sub-pixel global motion estimation. First,down-sampling of the two images, then the pixel-level global motion vector of two images calculated. Then chooses the repeated area of the two images and interpolated them,the global motion estimation of sub-pixel-level is achieved. Finally,weighted calculate the results of pixel -level and sub -pixel -level,the global motion displacement of sub-pixel-level of the two images will be calculated out. Experimental results show that the proposed algorithm has good robustness to noise,illumination and partial occlusion,and can effectively improve the accuracy and efficiency of motion estimation.