Anamorphic pixels for multi-channel superresolution


Autoria(s): Oberdörster, Alexander; Favaro, Paolo; Lensch, P. A. Hendrik
Data(s)

2014

Resumo

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.

Formato

application/pdf

Identificador

http://boris.unibe.ch/67327/1/oberdoerster2014.pdf

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 <http://dx.doi.org/10.1109/ICCPHOT.2014.6831805>

doi:10.7892/boris.67327

info:doi:10.1109/ICCPHOT.2014.6831805

Idioma(s)

eng

Publicador

IEEE

Relação

http://boris.unibe.ch/67327/

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6831805&tag=1

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

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 <http://dx.doi.org/10.1109/ICCPHOT.2014.6831805>

Palavras-Chave #000 Computer science, knowledge & systems #510 Mathematics
Tipo

info:eu-repo/semantics/conferenceObject

info:eu-repo/semantics/publishedVersion

PeerReviewed