Using graph layout to generalise focus+context image magnification and distortion

  • Authors:
  • Shawn Martin;Vijay Subramanya;Steven Mills

  • Affiliations:
  • University of Otago, Dunedin, NZ;NITK Surathkal, Mangalore, India;University of Otago, Dunedin, NZ

  • Venue:
  • Proceedings of the 27th Conference on Image and Vision Computing New Zealand
  • Year:
  • 2012

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Abstract

We present a novel framework for performing distortion-oriented focus+context image magnification. Our framework uses algorithms from graph drawing to manipulate the mesh underlying an image. Specifically, we apply a spectral graph layout algorithm to a weighted graph, where vertices in the graph correspond to pixels in the image, and edges connect directly adjacent vertices/pixels. By assigning appropriate weights to the edges, we can replicate the results of previous distortion-oriented approaches. In addition, we can perform image-aware distortion by using pixel values to influence the edge weights of our graph. We compare our approach to previous methods and demonstrate new results using image-based edge weighting schemes.