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arXiv · 1711.01543

Registration and Fusion of Multi-Spectral Images Using a Novel Edge Descriptor

Nati Ofir·Shai Silberstein·Dani Rozenbaum·Yosi Keller·Sharon Duvdevani Bar
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Abstract

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.

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Nati Ofir, Shai Silberstein, Dani Rozenbaum, Yosi Keller, Sharon Duvdevani Bar. 2017-11-05. Registration and Fusion of Multi-Spectral Images Using a Novel Edge Descriptor. https://doi.org/10.1109/icip.2018.8451650

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