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Proceedings Paper

New applications of Spectral Edge image fusion
Author(s): Alex E. Hayes; Roberto Montagna; Graham D. Finlayson
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Paper Abstract

In this paper, we present new applications of the Spectral Edge image fusion method. The Spectral Edge image fusion algorithm creates a result which combines details from any number of multispectral input images with natural color information from a visible spectrum image. Spectral Edge image fusion is a derivative–based technique, which creates an output fused image with gradients which are an ideal combination of those of the multispectral input images and the input visible color image. This produces both maximum detail and natural colors. We present two new applications of Spectral Edge image fusion. Firstly, we fuse RGB–NIR information from a sensor with a modified Bayer pattern, which captures visible and near–infrared image information on a single CCD. We also present an example of RGB–thermal image fusion, using a thermal camera attached to a smartphone, which captures both visible and low–resolution thermal images. These new results may be useful for computational photography and surveillance applications.

Paper Details

Date Published: 17 May 2016
PDF: 11 pages
Proc. SPIE 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII, 984009 (17 May 2016); doi: 10.1117/12.2223703
Show Author Affiliations
Alex E. Hayes, Spectral Edge Ltd. (United Kingdom)
Univ. of East Anglia (United Kingdom)
Roberto Montagna, Spectral Edge Ltd. (United Kingdom)
Graham D. Finlayson, Spectral Edge Ltd. (United Kingdom)
Univ. of East Anglia (United Kingdom)


Published in SPIE Proceedings Vol. 9840:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII
Miguel Velez-Reyes; David W. Messinger, Editor(s)

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