• DocumentCode
    2316462
  • Title

    An efficient implementation of a phase unwrapping kernel on reconfigurable hardware

  • Author

    Braganza, Sherman ; Leeser, Miriam

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    138
  • Lastpage
    143
  • Abstract
    The optical quadrature method of microscopy (OQM) uses phase data to capture information about the sample being studied. This phase data need to be unwrapped before it can be of use. Phase unwrapping is the process by which an integer multiple of 2pi is added to a measured, wrapped phase value in order to generate a continuous function. The algorithm used is the minimum LP norm method which uses a two dimensional discrete cosine transform (2-D DCT) which forms the most computationally expensive part of the minimum LP norm method. This paper presents an implementation on reconfigurable hardware that performs the 2-D DCT over the entire 1024 times 512 image, solves the intermediate equation and then performs the two dimensional Inverse discrete cosine transform (2-D IDCT) using a novel FPGA implementation of the DCT with a semi-floating point data representation. This represents the largest 2-D DCT FPGA implementation in the literature, with most previous work focusing on the 8 times 8 transform.
  • Keywords
    discrete cosine transforms; field programmable gate arrays; image reconstruction; reconfigurable architectures; 2D DCT FPGA implementation; inverse discrete cosine transform; optical quadrature method; phase data; phase unwrapping kernel; reconfigurable hardware; semifloating point data representation; Discrete cosine transforms; Field programmable gate arrays; Hardware; Kernel; Optical microscopy; Optical sensors; Optical signal processing; Phase measurement; Signal processing algorithms; Two dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application-Specific Systems, Architectures and Processors, 2008. ASAP 2008. International Conference on
  • Conference_Location
    Leuven
  • ISSN
    2160-0511
  • Print_ISBN
    978-1-4244-1897-8
  • Electronic_ISBN
    2160-0511
  • Type

    conf

  • DOI
    10.1109/ASAP.2008.4580168
  • Filename
    4580168