A Subpixel Registration Algorithm for Low PSNR Images

TL;DR

This paper introduces a fast, high-accuracy subpixel registration algorithm for low PSNR images using centroid measurement on the cross correlation surface, offering comparable accuracy with improved speed.

Contribution

The paper proposes a novel subpixel registration method based on centroid measurement, which is faster and maintains accuracy for low PSNR images compared to existing techniques.

Findings

Accuracy comparable to existing methods

Higher processing speed

Effective on synthetic and real images

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 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.