A Novel Fast 3D Single Image Super-Resolution Algorithm
- URL: http://arxiv.org/abs/2010.15491v1
- Date: Thu, 29 Oct 2020 11:23:28 GMT
- Title: A Novel Fast 3D Single Image Super-Resolution Algorithm
- Authors: Nwigbo Kenule Tuador, Duong Hung Pham, J\'er\^ome Michetti, Adrian
Basarab, Denis Kouam\'e
- Abstract summary: This paper introduces a novel computationally efficient method of solving the 3D single image super-resolution (SR) problem.
The main contribution lies in the original way of handling simultaneously the associated decimation and operators.
The proposed decomposition technique of the 3D decimation operator allows a straightforward implementation for Tikhonov regularization.
- Score: 8.922669577341225
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: This paper introduces a novel computationally efficient method of solving the
3D single image super-resolution (SR) problem, i.e., reconstruction of a
high-resolution volume from its low-resolution counterpart. The main
contribution lies in the original way of handling simultaneously the associated
decimation and blurring operators, based on their underlying properties in the
frequency domain. In particular, the proposed decomposition technique of the 3D
decimation operator allows a straightforward implementation for Tikhonov
regularization, and can be further used to take into consideration other
regularization functions such as the total variation, enabling the
computational cost of state-of-the-art algorithms to be considerably decreased.
Numerical experiments carried out showed that the proposed approach outperforms
existing 3D SR methods.
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