In this paper we introduce a fully end-to-end approach for multi-spectral image registration and fusion. Our method for fusion combines images from different spectral channels into a single fused image by different approaches for low and high frequency signals. A prerequisite of fusion is a stage of geometric alignment between the spectral bands, commonly referred to as registration. Unfortunately, common methods for image registration of a single spectral channel do not yield reasonable results on images from different modalities. For that end, we introduce a new algorithm for multi-spectral image registration, based on a novel edge descriptor of feature points. Our method achieves an accurate alignment of a level that allows us to further fuse the images. As our experiments show, we produce a high quality of multi-spectral image registration and fusion under many challenging scenarios.
@article{arxiv.1711.01543,
title = {Registration and Fusion of Multi-Spectral Images Using a Novel Edge Descriptor},
author = {Nati Ofir and Shai Silberstein and Dani Rozenbaum and Yosi Keller and Sharon Duvdevani Bar},
journal= {arXiv preprint arXiv:1711.01543},
year = {2021}
}