Perception-motivated Interpolation of Image Sequences
We present a method for image interpolation which is able to create
high-quality, perceptually convincing transitions between recorded images. By implementing concepts derived from human vision, the problem of a physically correct image interpolation is relaxed to an
image interpolation that is perceived as physically correct by human
observers. We find that it suffices to focus on exact edge correspondences, homogeneous regions and coherent motion to compute
such solutions. In our user study we confirm the visual quality of the proposed image interpolation approach. We show how each aspect of our approach increases the perceived quality of the interpolation results, compare the results obtained by other methods and investigate the achieved quality for different types of scenes.
Author(s): | Timo Stich, Christian Linz, Christian Wallraven, Douglas Cunningham, Marcus Magnor |
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Published: | July 2008 |
Type: | Article in conference proceedings |
Book: | Proc. ACM Applied Perception in Computer Graphics and Visualization (APGV) (ACM) |
Presented at: | ACM Applied Perception in Computer Graphics and Visualization (APGV) |
Note: | http://doi.acm.org/10.1145/1394281.1394299 |
Project(s): | Perception-motivated Interpolation of Image Sequences |
@inproceedings{stich08apgv, title = {Perception-motivated Interpolation of Image Sequences}, author = {Stich, Timo and Linz, Christian and Wallraven, Christian and Cunningham, Douglas and Magnor, Marcus}, booktitle = {Proc. {ACM} Applied Perception in Computer Graphics and Visualization ({APGV})}, organization = {{ACM}}, note = {http://doi.acm.org/10.1145/1394281.1394299}, pages = {97--106}, month = {Jul}, year = {2008} }
Authors
Timo Stich
Fmr. ResearcherChristian Linz
Fmr. ResearcherChristian Wallraven
ExternalDouglas Cunningham
ExternalMarcus Magnor
Director, Chair