• DocumentCode
    1011664
  • Title

    Biorthogonal wavelet system for high-resolution image reconstruction

  • Author

    Shen, Lixin ; Sun, Qiyu

  • Author_Institution
    Dept. of Math., West Virginia Univ., Morgantown, WV, USA
  • Volume
    52
  • Issue
    7
  • fYear
    2004
  • fDate
    7/1/2004 12:00:00 AM
  • Firstpage
    1997
  • Lastpage
    2011
  • Abstract
    High-resolution images are often desired but made impossible because of hardware limitations. For the high-resolution model proposed by Bose and Boo (see Int. J. Imaging Syst. Technol., vol.9, p.294-304, 1998), the iterative wavelet-based algorithm has been shown to perform better than the traditional least square method when the resolution ratio M is two and four. In this paper, we discuss the minimally supported biorthogonal wavelet system that comes from the mathematical model by Bose and Boo and propose a wavelet-based algorithm for arbitrary resolution ratio M≥2. The numerical results indicate that the algorithm based on our biorthogonal wavelet system performs better in high-resolution image reconstruction than the wavelet-based algorithm in the literature, as well as the common-used least square method.
  • Keywords
    image reconstruction; image resolution; wavelet transforms; biorthogonal wavelet system; high-resolution images; image reconstruction; iterative wavelet-based algorithm; numerical results; resolution ratio; Filters; Hardware; Image reconstruction; Image resolution; Iterative algorithms; Least squares methods; Multiresolution analysis; Signal processing algorithms; Sun; Wavelet analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2004.828939
  • Filename
    1306652