Photoelastic dispersion coefficient by holographic reconstruction with neural networks and the Fresnel method
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2023
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INTERNATIONAL CONFERENCE ON OPTICAL MEMS AND NANOPHOTONICS; SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE
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Here we report the characterization of the photoelastic dispersion coefficient using digital holography with two distinct reconstruction methods: one based on the Fresnel method and the other utilizing convolutional neural networks (CNN). The CNN was trained with reconstruction from the Fresnel method and was able to provide reconstructions with an average Mean Squared Error of 0.006.
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PRADO, FELIPE M.; SOUZA, PEDRO H.M. de; SILVA, SIDNEY L. da; WETTER, NIKLAUS U. Photoelastic dispersion coefficient by holographic reconstruction with neural networks and the Fresnel method. In: INTERNATIONAL CONFERENCE ON OPTICAL MEMS AND NANOPHOTONICS; SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE, July 31 - August 3, 2023, Campinas, SP. Proceedings... Piscataway, NJ, USA: IEEE, 2023. DOI: 10.1109/OMN/SBFOTONIOPC58971.2023.10230956. Disponível em: http://repositorio.ipen.br/handle/123456789/34584. Acesso em: 30 Dec 2025.
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