Name
Abstract | ||
|---|---|---|
Superresolution from plenoptic cameras or camera arrays is usually treated similarly to superresolution from video streams. However, the transformation between the low-resolution views can be determined precisely from camera geometry and parallax. Furthermore, as each low-resolution image originates from a unique physical camera, its sampling properties can also be unique. We exploit this option with a custom design of either the optics or the sensor pixels. This design makes sure that the sampling matrix of the complete system is always well-formed, enabling robust and high-resolution image reconstruction. We show that simply changing the pixel aspect ratio from square to anamorphic is sufficient to achieve that goal, as long as each camera has a unique aspect ratio. We support this claim with theoretical analysis and image reconstruction of real images. We derive the optimal aspect ratios for sets of 2 or 4 cameras. Finally, we verify our solution with a camera system using an anamorphic lens. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICCPHOT.2014.6831805 | Computational Photography |
Keywords | Field | DocType |
image reconstruction,image resolution,image sampling,image sensors,lenses,matrix algebra,video cameras,video streaming,anamorphic lens,anamorphic pixel,camera geometry,custom design,high-resolution image reconstruction,multichannel superresolution,parallax,pixel aspect ratio,plenoptic camera,sampling matrix,sensor pixel,video stream | Computer graphics (images),Computer science,Camera resectioning,Artificial intelligence,Computer vision,View camera,Image sensor format,Optics,Pixel,Real image,Image resolution,Pixel aspect ratio,Three-CCD camera | Conference |
Citations | PageRank | References |
1 | 0.35 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Oberdörster | 1 | 2 | 0.76 |
| Paolo Favaro | 2 | 127 | 11.23 |
| Hendrik P. A. Lensch | 3 | 1471 | 96.59 |