DeepAI AI Chat
Log In Sign Up

A Subpixel Registration Algorithm for Low PSNR Images

by   Song Feng, et al.

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.


A method for nose-tip based 3D face registration using maximum intensity algorithm

In this paper we present a novel technique of registering 3D images acro...

Landmark and Intensity Based Registration with Large Deformations via Quasi-conformal Maps

Registration, which aims to find an optimal one-to-one correspondence be...

Geometric Registration of High-genus Surfaces

This paper presents a method to obtain geometric registrations between h...

Universal Joint Image Clustering and Registration using Partition Information

We consider the problem of universal joint clustering and registration o...

Astroalign: A Python module for astronomical image registration

We present an algorithm implemented in the astroalign Python module for ...

nerf2nerf: Pairwise Registration of Neural Radiance Fields

We introduce a technique for pairwise registration of neural fields that...