• DocumentCode
    3783335
  • Title

    Efficient high-order image subsampling using FANNs

  • Author

    A. Dumitras;F. Kossentini

  • Author_Institution
    Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada
  • Volume
    3
  • fYear
    2000
  • Firstpage
    316
  • Abstract
    We propose a method for high-order image subsampling using feedforward artificial neural networks (FANNs). Our method employs a tridiagonally symmetrical FANN, which is obtained by applying the design algorithm proposed by Dumitraa and Kossentini (see IEEE Transactions on Signal Processing, vol.48, no.5, p.1446-55, 2000), and a small, fully connected FANN. We show that our subsampling method provides excellent speed-performance tradeoffs as compared to those of the method based exclusively on fully connected FANNs.
  • Keywords
    "Artificial neural networks","High definition video","Filtering","Algorithm design and analysis","Image decomposition","Image sampling","Signal sampling","Image converters","Digital TV","Motion estimation"
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.899373
  • Filename
    899373
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3783335