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Anamorphic pixels for multi-channel superresolution

: Oberdörster, A.; Favaro, P.; Lensch, H.P.A.


Institute of Electrical and Electronics Engineers -IEEE-:
6th IEEE International Conference on Computational Photography, ICCP 2014 : 2-4 May 2014, Santa Clara, California
Piscataway, NJ: IEEE, 2014
ISBN: 978-1-4799-5188-8
10 pp.
International Conference on Computational Photography (ICCP) <6, 2014, Santa Clara/Calif.>
Conference Paper
Fraunhofer IOF ()
aspect ratio; color photography; geometrical optics

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.