Abstract
In this paper, we present a novel three-dimensional
(3D) super resolution reconstruction technique by integral imaging
to reconstruct a high-resolution 3D image directly from a series of
low-resolution perspective projections of a 3D scene. In conventional
integral imaging, every depth of the 3D scene is imaged by multiple
lenses on the sensor plane with an accurate disparity of multiple
perspective viewpoints. However, this disparity is pixilated by the
digital structure of the capturing sensor, which leads to a loss of
the sub-pixel disparity information of the multiple perspective viewpoints.
In this paper, this sub-pixel information is restored by the proposed
3D super resolution method in order to improve the resolution of the
reconstructed 3D images. Simulations and experiments are implemented
to demonstrate the enhancement of the 3D image quality in the reconstruction.
© 2015 IEEE
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