Spectral Edge Image FusionMS45

The goal of Spectral Edge Image Fusion is to map a low-dimensional guide image so that its gradient structure matches that present in a higher dimensional image of the same scene with the additional constraint that the ‘colour’ aspect of the guide is approximately preserved. Applications of spectral edge fusion include mapping RGB+NIR to RGB and visualising remote sensing data.

This presentation is part of Minisymposium “MS45 - Mathematical techniques for bad visibility restoration
organized by: Javier Vazquez-Corral (Information and Communication Technologies Department, Universitat Pompeu Fabra) .

Graham Finlayson (School of Computing Sciences, University of East Anglia, Norwich Research Park)
colour, computer vision, fusion, image enhancement, image reconstruction, image representation, nonlinear optimization, partial differential equation models, structure tensor