• DocumentCode
    1234158
  • Title

    Phase-Shifting for Nonseparable 2-D Haar Wavelets

  • Author

    Alnasser, Mais ; Foroosh, Hassan

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Central Florida, Orlando, FL
  • Volume
    17
  • Issue
    7
  • fYear
    2008
  • fDate
    7/1/2008 12:00:00 AM
  • Firstpage
    1061
  • Lastpage
    1068
  • Abstract
    In this paper, we present a novel and efficient solution to phase-shifting 2-D nonseparable Haar wavelet coefficients. While other methods either modify existing wavelets or introduce new ones to handle the lack of shift-invariance, we derive the explicit relationships between the coefficients of the shifted signal and those of the unshifted one. We then establish their computational complexity, and compare and demonstrate the superior performance of the proposed approach against classical interpolation tools in terms of accumulation of errors under successive shifting.
  • Keywords
    Haar transforms; image processing; wavelet transforms; image processing; nonseparable 2D Haar wavelet phase shifting; shift invariance; 2-D Haar transform; Nonseparable; phase-shifting; wavelets; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2008.919950
  • Filename
    4531187