Overcoming image degradation in fiber-bundle tomographic combustion measurements via generative adversarial super-resolution of raw projections.

Wei N, Lei Q, Kan K, Fan W

DOI: 10.1364/oe.605282
Published: 2026 Jun 29
Container: Optics express
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1364/oe.605282,
  title = {Overcoming image degradation in fiber-bundle tomographic combustion measurements via generative adversarial super-resolution of raw projections.},
  author = {Wei N and Lei Q and Kan K and Fan W},
  year = {2026},
  journal = {Optics express},
  doi = {10.1364/oe.605282},
  url = {https://doi.org/10.1364/oe.605282}
}

RIS

TY  - JOUR
TI  - Overcoming image degradation in fiber-bundle tomographic combustion measurements via generative adversarial super-resolution of raw projections.
AU  - Wei N
AU  - Lei Q
AU  - Kan K
AU  - Fan W
PY  - 2026
JO  - Optics express
DO  - 10.1364/oe.605282
UR  - https://doi.org/10.1364/oe.605282
ER  -

APA

N, W., Q, L., K, K., & W, F. (2026). Overcoming image degradation in fiber-bundle tomographic combustion measurements via generative adversarial super-resolution of raw projections.. Optics express. https://doi.org/10.1364/oe.605282

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pubmed · retrieved 2026-11-10T10:32:33.306Z