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A subpixel registration algorithm for low PSNR images

机译:低PSNR图像子像素注册算法

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This paper presents a fast algorithm for obtaining high-accuracy subpixel translation of low PSNR images. Instead of locating the maximum point on the upsampled 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.
机译:本文提出了一种快速算法,用于获得低PSNR图像的高精度子像素平移。 代替将最大点定位在上采样的图像上或拟合相关表面的峰值,所提出的算法基于通过修改的时刻方法对互相关表面上的质心的测量。 测试了合成图像,具有白色高斯噪声的真正的太阳能图像和标准测试图像,结果表明,我们的算法的精度与其他子像素配准技术相当,加工速度更高。 在本文的末尾还讨论了缺点。

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