• DocumentCode
    118118
  • Title

    Design of approximated DCT with large size and its application to image matching

  • Author

    Ito, Izumi ; Truong Nguyen

  • Author_Institution
    Decision Sci. & Technol., Tokyo Inst. of Technol., Tokyo, Japan
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We present the design of approximated discrete cosine transform (DCT) with large size and its performance. The approximated DCT is designed using Wang´s matrix factorization algorithms with fixed-point parameters and the size greater than 2k, k > 4 is focused. So far, the specific parameters and performance of approximated DCT with large size have not been presented. In addition, we apply the sign of approximated DCT to image matching. Compared to floating-point DCT, the superior performance of the sign of the approximated DCT is demonstrated through experimental results.
  • Keywords
    approximation theory; discrete cosine transforms; image matching; Wang matrix factorization algorithms; approximated DCT; approximated discrete cosine transform; fixed-point parameters; image matching; Approximation algorithms; Approximation methods; Correlation; Discrete cosine transforms; Image matching; Matrix decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
  • Conference_Location
    Siem Reap
  • Type

    conf

  • DOI
    10.1109/APSIPA.2014.7041628
  • Filename
    7041628
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=118118