A subpixel registration algorithm for low PSNR images

Song Feng, L. Deng, G. Shu, Feng Wang, H. Deng, Kaifan Ji
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引用次数: 29

Abstract

This paper presents a fast algorithm for obtaining high-accuracy subpixel translation of low PSNR images. Instead of locating the maximum point on the up-sampled images or fitting the peak of correlation surface, the proposed algorithm is based on the measurement of centroid on the cross correlation surface by Modified Moment method. Synthetic images, real solar images and standard testing images with white Gaussian noise added were tested, and the results show that the accuracies of our algorithm are comparable with other subpixel registration techniques and the processing speed is higher. The drawback is also discussed at the end of this paper.
低PSNR图像的亚像素配准算法
提出了一种实现低PSNR图像高精度亚像素平移的快速算法。该算法不是在上采样图像上定位最大值点或拟合相关曲面的峰值,而是基于修正矩法在互相关曲面上测量质心。对合成图像、真实太阳图像和添加高斯白噪声的标准测试图像进行了测试,结果表明,该算法的精度与其他亚像素配准技术相当,处理速度更高。本文最后还讨论了其不足之处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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