Abstract
We present a simple guided super-resolution technique
for increasing directional resolution without reliance on
depth estimation or image correspondences. Rather, it
searches for best-matching multidimensional (4D or 3D)
patches within the entire captured data set to compose new
directional images that are consistent in both the spatial
and the directional domains. We describe algorithms for
guided upsampling, iterative guided upsampling, and sam-
pling code estimation. Our experimental results reveal that
the outcomes of existing light-field camera arrays and light-
stage systems can be improved without additional hardware
requirements or recording effort simply by realignment of
cameras or light sources to change their sampling patterns.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Computational Photography (ICCP) |
| Publisher | IEEE |
| Number of pages | 10 |
| Publication status | Published - 2015 |
Fields of science
- 102 Computer Sciences
- 102003 Image processing
- 102008 Computer graphics
- 102015 Information systems
- 102020 Medical informatics
- 103021 Optics
JKU Focus areas
- Engineering and Natural Sciences (in general)