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Communication Dans Un Congrès Année : 2021

A Novel Fast 3D Single Image Super-Resolution Algorithm

Kenule Tuador Nwigbo
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Duong-Hung Pham
Jérôme Michetti
Adrian Basarab
Denis Kouamé

Résumé

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.

Dates et versions

hal-03188070 , version 1 (01-04-2021)

Identifiants

Citer

Kenule Tuador Nwigbo, Duong-Hung Pham, Jérôme Michetti, Adrian Basarab, Denis Kouamé. A Novel Fast 3D Single Image Super-Resolution Algorithm. IEEE 18th International Symposium on Biomedical Imaging (ISBI 2021), IEEE Signal Processing Society (SPS); IEEE Engineering in Medicine and Biology Society (EMBS), Apr 2021, Nice (virtuel), France. ⟨10.1109/ISBI48211.2021.9433809⟩. ⟨hal-03188070⟩
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