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    Compression of digital holograms for three-dimensional object reconstruction and recognition


    Naughton, Thomas J. and Frauel, Yann and Javidi, Bahram and Tajahuerce, Enrique (2002) Compression of digital holograms for three-dimensional object reconstruction and recognition. Applied Optics, 41 (20). pp. 4124-4132.

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    Abstract

    We present the results of applying lossless and lossy data compression to a three-dimensional object reconstruction and recognition technique based on phase-shift digital holography. We find that the best lossless (Lempel-Ziv, Lempel-Ziv-Welch, Huffman, Burrows-Wheeler) compression rates can be expected when the digital hologram is stored in an intermediate coding of separate data streams for real and imaginary components. The lossy techniques are based on subsampling, quantization, and discrete Fourier transformation. For various degrees of speckle reduction, we quantify the number of Fourier coefficients that can be removed from the hologram domain, and the lowest level of quantization achievable, without incurring significant loss in correlation performance or significant error in the reconstructed object domain.

    Item Type: Article
    Keywords: Three-dimensional image processing, Computer holography, Image compression, Image processing, Pattern recognition and feature extraction, Noise in imaging systems
    Academic Unit: Faculty of Science and Engineering > Experimental Physics
    Faculty of Science and Engineering > Computer Science
    Item ID: 88
    Depositing User: Thomas Naughton
    Date Deposited: 18 Mar 2003
    Journal or Publication Title: Applied Optics
    Publisher: Optical Society of America
    Refereed: Yes
    URI:

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