• DocumentCode
    1258443
  • Title

    Image interpolation using neural networks

  • Author

    Plaziac, Nathalie

  • Author_Institution
    Ericsson Messaging Syst., Woodbury, NY, USA
  • Volume
    8
  • Issue
    11
  • fYear
    1999
  • fDate
    11/1/1999 12:00:00 AM
  • Firstpage
    1647
  • Lastpage
    1651
  • Abstract
    This work presents an image interpolation method based on a multilayer perceptron. The method is tested in noise-free as well as noisy line doubling and image expansion problems. Two adaptive algorithms are compared. Results show that the proposed method improves image interpolation
  • Keywords
    adaptive signal processing; backpropagation; image processing; interpolation; least mean squares methods; multilayer perceptrons; adaptive algorithms; image expansion; image interpolation; multilayer perceptron; neural networks; noise-free line doubling; noisy line doubling; Adaptive algorithm; Finite impulse response filter; Image quality; Interpolation; Multilayer perceptrons; Neural networks; Nonlinear filters; PSNR; Pixel; Testing;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.799893
  • Filename
    799893
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1258443