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  3. Anamorphic pixels for multi-channel superresolution

Anamorphic pixels for multi-channel superresolution

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DOI
10.7892/boris.67327
Official URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6831805&tag=1
Publisher DOI
10.1109/ICCPHOT.2014.6831805
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.
Date Issued
2014
Publication Type
Conference Item
Subject(s)
000 Computer science, knowledge & systems
500 Science > 510 Mathematics
Language(s)
en
Author(s)
Oberdörster, Alexander  
Institut für Informatik und angewandte Mathematik (IAM)  
Favaro, Paolo  
Institut für Informatik und angewandte Mathematik (IAM)  
Lensch, P. A. Hendrik
Additional Credits
Institut für Informatik und angewandte Mathematik (IAM)  
Publisher
IEEE
Title of Event
2014 IEEE International Conference on Computational Photography (ICCP)
Access(Rights)
restricted
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