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    Removing the twin image in digital holography by segmented filtering of in-focus twin image


    McElhinney, Conor P. and Hennelly, Bryan M. and Ahrenberg, Lukas and Naughton, Thomas J. (2008) Removing the twin image in digital holography by segmented filtering of in-focus twin image. Optics & Photonics for Information Processing, 7072. pp. 707208-1.

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    Abstract

    We propose and investigate a new digital method for the reduction of twin-image noise from digital Fresnel holograms. For the case of in-line Fresnel holography the unwanted twin is present as a highly corruptive noise when the object image is numerically reconstructed. We propose to firstly reconstruct the unwanted twin-image when it is in-focus and in this plane we calculate a segmentation mask that borders this in focus image. The twin-image is then segmented and removed by simple spatial filtering. The resulting digital wavefield is the inverse propagated to the desired object image plane. The image is free of the twin-image resulting in improved quality reconstructions. We demonstrate the segmentation and removal of the unwanted twin-image from in-line digital holograms containing real-world macroscopic objects. We offer suggestions for its rapid computational implementation.

    Item Type: Article
    Keywords: Twin-image reduction; digital holography; segmentation;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 2377
    Depositing User: Thomas Naughton
    Date Deposited: 19 Jan 2011 14:50
    Journal or Publication Title: Optics & Photonics for Information Processing
    Publisher: SPIE Proceedings
    Refereed: Yes
    URI:

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