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SUMMARY:Spectral Edge Image Fusion: Theory and Applications - Mark S Drew\
 , School of COmputing Science\, Simon Fraser University
DTSTART:20140630T150000Z
DTEND:20140630T160000Z
UID:TALK53307@talks.cam.ac.uk
CONTACT:Rachel Fogg
DESCRIPTION:This talk describes a novel approach to the fusion of multidim
 ensional images for colour displays. The goal of the method is to generate
  an output image whose gradient matches that of the input as closely as po
 ssible. It achieves this using a constrained contrast mapping paradigm in 
 the gradient domain\, where the structure tensor of a high-dimensional gra
 dient representation is mapped exactly to that of\na low-dimensional gradi
 ent field which is subsequently reintegrated to generate an output. Constr
 aints on the output colours are provided by\nan initial RGB rendering to e
 nsure naturalistic colours: we provide a theorem for projecting higher-D c
 ontrast onto the initial colour gradients such that they remain close to t
 he original gradients whilst\nmaintaining exact high-D contrast. The solut
 ion to this constrained optimisation is closed-form\, allowing for a very 
 simple and hence fast and efficient algorithm.\nOur approach is generic in
  that it can map any N-D image data to any M-D output\, and can be used in
  a variety of applications using the same basic algorithm. In this paper w
 e focus on the problem of mapping N-D inputs to 3-D colour outputs.  We pr
 esent results in several applications\, including hyperspectral remote sen
 sing\, fusion of colour and near-infrared images\, colour visualisation of
  MRI Diffusion-Tensor imaging\, and colour to colourblind.\n\n[Spectral Ed
 ge Image Fusion: Theory and Applications\, \nDavid Connah\, Mark S. Drew\,
  and Graham D. Finlayson\,\nZurich\, Sept. 2014\, To Appear.]\n
LOCATION:Cambridge University Engineering Department\, LT1
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