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    Digital Hologram Image Processing

    McElhinney, Conor (2009) Digital Hologram Image Processing. PhD thesis, National University of Ireland Maynooth.

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    In this thesis we discuss and examine the contributions we have made to the field of digital hologram image processing. In particular, we will deal with the processing of numerical reconstructions of real-world three-dimensional macroscopic objects recorded by in-line digital holography. Our selection of in-line digital holography over off-axis digital holography is based primarily on resolution. There is evidence that an off-axis architecture requires approximately four times the resolution to record a hologram than an in-line architecture. The high resolution of holographic film means this is acceptable in optical holography. However, in digital holography the bandwidth of the recording medium is already severely limited and if we are to extract information from reconstructions we need the highest possible resolution which, if one cannot harness the functionality of accurately reconstructing phase, is achieved through using an in-line architecture. Two of the most significant problems encountered with reconstructions of in-line digital holograms include the small depth-of-field of each reconstruction and corruptive influence of the unwanted twin-image. This small depth-of-field makes it difficult to accurately process the numerical reconstructions and it is in this shortcoming that we will make our first three contributions: focusing algorithms, background and object segmentation algorithms and algorithms to create a single image where all object regions are in focus. Using a combination of our focusing algorithms and our background segmentation algorithm, we will make our fourth contribution: a rapid twin-image reduction algorithm for in-line digital holography. We believe that our techniques would be applicable to all digital holographic objects, in particular its relevant to objects where phase unwrapping is not an option. We demonstrate the usefulness of the algorithms for a range of macroscopic objects with varying texture and contrast.

    Item Type: Thesis (PhD)
    Keywords: Digital hologram; Image processing; Automatic focusing; Segmentation of digital holograms; Extended focused imaging; Twin-image removal.
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 1467
    Depositing User: Dr. Conor Mc Elhinney
    Date Deposited: 01 Jul 2009 17:01
    Funders: Science Foundation Ireland, Enterprise Ireland, Embark Initiative of the Irish Research Council for Science, Engineering, and Technology, under the National Development Plan
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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