• DocumentCode
    3017983
  • Title

    The Application of Wavelet in an Image Super-Resolution Reconstruction

  • Author

    Xingmei, Li ; Liang, Chen ; Jin, Wang

  • Author_Institution
    China Univ. of Geosci., Wuhan, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    5692
  • Lastpage
    5695
  • Abstract
    On the basis of image super-resolution reconstruction, the wavelet decomposition model is used to simulate the model of image degraded procedure. So the wavelet construction model and method can be applied to image super-resolution reconstruction. Since the degraded procedures is very complex, the analysis is about the degraded images caused by the high frequencies components are attenuated by the averaging process in the digital image acquisition process. The choice of filter banks of wavelet and the prediction of detail image and the procedure of super-resolution reconstruction are discussed in the article. The experimental results show it is effective to apply the wavelet model to the model of image super-resolution reconstruction.
  • Keywords
    image reconstruction; image resolution; wavelet transforms; averaging process; detail image; digital image acquisition process; filter banks; image degraded procedure; image super-resolution reconstruction; wavelet construction model; wavelet decomposition model; wavelet transforms; Charge coupled devices; Digital images; Image reconstruction; Image resolution; Interpolation; Laplace equations; Signal resolution; degraded model; image super-resolution reconstruction; wavelet decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.1383
  • Filename
    5631829