Anamorphic pixels for multi-channel superresolution

Oberdörster, Alexander; Favaro, Paolo; Lensch, P. A. Hendrik (2014). Anamorphic pixels for multi-channel superresolution. In: 2014 IEEE International Conference on Computational Photography (ICCP) (pp. 1-10). IEEE 10.1109/ICCPHOT.2014.6831805

[img] Text
oberdoerster2014.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (9MB) | Request a copy

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.

Item Type:

Conference or Workshop Item (Paper)


08 Faculty of Science > Institute of Computer Science (INF) > Computer Vision Group (CVG)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Oberdörster, Alexander and Favaro, Paolo


000 Computer science, knowledge & systems
500 Science > 510 Mathematics






Paolo Favaro

Date Deposited:

27 Apr 2015 15:36

Last Modified:

16 Aug 2017 09:14

Publisher DOI:





Actions (login required)

Edit item Edit item
Provide Feedback