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    Compression of encrypted digital holograms using artificial neural networks

    Shortt, Alison and Naughton, Thomas J. and Javidi, Bahram (2005) Compression of encrypted digital holograms using artificial neural networks. Optics in Information Systems, 16 (2). 1, 8.

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    An important aspect of security and defense is information gathering, dissemination, processing,and analysis. Central to this is the encryption and decryption of messages for storage and transmission. Although public-key cryptosystems are the state of the art currently, there is a place for private-key systems in cases where hardware implementation permits very high through puts. Optical implementation is a candidate for this. Optics has some very promising scalability advantages over purely electronic systems as, in principle, the size of the key can be increased without increasing the encryption or decryption time...

    Item Type: Article
    Keywords: Artificial neural network (ANN); digital holography; image compression; optical encryption; three-dimensional (3D) image processing;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 12389
    Depositing User: Thomas Naughton
    Date Deposited: 07 Feb 2020 15:11
    Journal or Publication Title: Optics in Information Systems
    Publisher: SPIE
    Refereed: Yes
      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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