• DocumentCode
    1281834
  • Title

    Neural concurrent subsampling and interpolation for images

  • Author

    Kim, J.-O. ; Choi, B.-T. ; Ko, S.J.

  • Author_Institution
    Dept. of Electron. Eng., Korea Univ., Seoul, South Korea
  • Volume
    35
  • Issue
    22
  • fYear
    1999
  • fDate
    10/28/1999 12:00:00 AM
  • Firstpage
    1933
  • Lastpage
    1934
  • Abstract
    A concurrent subsampling and interpolation algorithm for images is presented which uses a feedfoward neural network (FNN), providing the advantages of good image reproduction quality and high speed processing capability. Experimental results show that the proposed technique exhibits an increased performance over conventional methods such as linear- and cubic-based interpolation
  • Keywords
    feedforward neural nets; image reconstruction; image sampling; interpolation; feedfoward neural network; image reproduction quality; interpolation algorithm; neural concurrent subsampling; processing capability;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19991321
  • Filename
    811060
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1281834