Multi-image interpolation based on graph-cuts and symmetric optical flow

  • Authors:
  • Christian Linz;Christian Lipski;Marcus A. Magnor

  • Affiliations:
  • TU Braunschweig;TU Braunschweig;TU Braunschweig

  • Venue:
  • ACM SIGGRAPH 2010 Posters
  • Year:
  • 2010

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Abstract

Multi-image interpolation in space and time has recently received considerable attention. Typically, the interpolated image is synthesized by adaptively blending several forward-warped images. Blending itself is a low-pass filtering operation: the interpolated images are prone to blurring and ghosting artifacts as soon as the underlying correspondence fields are imperfect. We address both issues and propose a multi-image interpolation algorithm that avoids blending. Instead, our algorithm decides for each pixel in the synthesized view from which input image to sample. Combined with a symmetrical long-range optical flow formulation for correspondence field estimation, our approach yields crisp interpolated images without ghosting artifacts.