New applications of Spectral Edge image fusion

Alex E. Hayes, Roberto Montagna, Graham D. Finlayson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
42 Downloads (Pure)

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. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Original languageEnglish
Title of host publicationProc. SPIE 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII
PublisherSPIE Press
Volume9840
DOIs
Publication statusPublished - 17 May 2016
EventAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII - Maryland, Baltimore, United States
Duration: 17 Apr 201621 Apr 2016

Conference

ConferenceAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII
Country/TerritoryUnited States
CityBaltimore
Period17/04/1621/04/16

Keywords

  • Image Processing
  • Pattern Recognition
  • Computer Vision

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