In this work we propose a fully end-to-end approach for
multi-spectral image registration and fusion. Our fusion
method combines images from different spectral channels
into a single fused image using approaches for low and high
frequency signals. A prerequisite of fusion is the geometric
alignment between the spectral bands, commonly referred to
as registration. Unfortunately, common methods for image
registration of a single spectral channel might prove inaccurate
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 allowing us to further
fuse the images. It is experimentally shown to produce a high
quality of multi-spectral image registration and fusion under
challenging scenarios.