A Subpixel Registration Algorithm for Low PSNR Images
This addresses image registration challenges in noisy conditions, but it is incremental as it builds on existing subpixel techniques.
The paper tackles subpixel registration for low PSNR images by proposing a fast algorithm based on centroid measurement using a Modified Moment method, achieving comparable accuracy to other techniques with higher processing speed.
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.