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Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16738
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dc.contributor.authorDodda, Vineela Chandra-
dc.contributor.authorKuruguntla, Lakshmi-
dc.contributor.authorKumar, Manoj-
dc.contributor.authorMatoba, Osamu-
dc.contributor.authorMuniraj, Inbarasan-
dc.date.accessioned2024-12-12T09:29:54Z-
dc.date.available2024-12-12T09:29:54Z-
dc.date.issued2024-
dc.identifier.isbn9781957171371-
dc.identifier.urihttps://opg.optica.org/abstract.cfm?URI=3D-2024-DW1H.2-
dc.identifier.urihttps://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16738-
dc.description.abstractHere, we demonstrate the efficacy of an attention-based U-Net architecture for denoising the reconstructed noisy amplitude and phase from a multi-beam interference-based digital holographic microscopy. The results demonstrate the effectiveness of our proposed network. © 2024 The Author(s).en_US
dc.language.isoenen_US
dc.publisherOptica Imaging Congress 2024 (3D, AOMS, COSI, ISA, pcAOP)en_US
dc.publisherOptical Society of Americaen_US
dc.subjectDe-Noisingen_US
dc.subjectDigital Holographic Microscopyen_US
dc.subjectMultibeam Interferencesen_US
dc.subjectNet Architectureen_US
dc.subjectHolographyen_US
dc.titleAttention U-Net for Denoising the Multiplexed Digital Holographic Microscopyen_US
dc.typeArticleen_US
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