Three-dimensional Super-resolution of X-ray CT Data of Rock Samples by Sparse Representation Learning-Reference-Cited by-同舟云学术

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Three-dimensional Super-resolution of X-ray CT Data of Rock Samples by Sparse Representation Learning

Published:2023-04-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
language:
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Author:

Suzuki Shoi¹^ORCID,Okamoto Atsushi²^ORCID,Michibayashi Katsuyoshi³^ORCID,Omori Toshiaki¹^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, Graduate School of Engineering, Kobe University, Japan

2. Department of Environmental Studies for Advanced Society, Graduate School of Environmental Studies, Tohoku University, Japan

3. Department of Earth and Planetary Sciences, Graduate School of Environmental Studies, Nagoya University, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3596947.3596958

Reference22 articles.

1. Mathematical Geoscience

2. Achievement of D/V Chikyu in the 1st 10 years

3. R. Szeliski , Computer Vision – Algorithms and Applications , Springer , 2010 R. Szeliski, Computer Vision – Algorithms and Applications, Springer, 2010

4. Novel example-based method for super-resolution and denoising of medical images;Trinh D.;IEEE Transactions on Image Processing,1882

5. Example-based super-resolution

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