DocumentCode :
154117
Title :
Anamorphic pixels for multi-channel superresolution
Author :
Oberdorster, Alexander ; Favaro, Paolo ; Lensch, Hendrik P. A.
Author_Institution :
Fraunhofer IOF, Jena, Germany
fYear :
2014
fDate :
2-4 May 2014
Firstpage :
1
Lastpage :
10
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.
Keywords :
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; Cameras; Image reconstruction; Image resolution; Lenses; Robustness; Shape; Silicon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Photography (ICCP), 2014 IEEE International Conference on
Conference_Location :
Santa Clara, CA
Type :
conf
DOI :
10.1109/ICCPHOT.2014.6831805
Filename :
6831805
Link To Document :
بازگشت