Computer Graphics
TU Braunschweig

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


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

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.


Author(s):Christian Linz, Christian Lipski, Marcus Magnor
Year:2010
Month:August
Type:Article in conference proceedings
Book:Proc. SIGGRAPH (ACM)
Presented at:SIGGRAPH
Note:SIGGRAPH '10: ACM SIGGRAPH 2010 Posters
Project(s): Image-space Editing of 3D Content 


@inproceedings{linz10SIGposter,
  title = {Multi-image interpolation based on graph-cuts and symmetric optical flow},
  author = {Linz, Christian and Lipski, Christian and Magnor, Marcus},
  booktitle = {Proc. {SIGGRAPH}},
  organization = {{ACM}},
  note = {{SIGGRAPH} '10: {ACM} {SIGGRAPH} 2010 Posters},
  pages = {1},
  month = {Aug},
  year = {2010}
}

Authors