• DocumentCode
    3249262
  • Title

    Image registration using the shift-insensitive discrete wavelet transform

  • Author

    Shi, Hongli ; Luo, Shuqian

  • Author_Institution
    Coll. of Biomed. Eng., Capital Med. Univ., Beijing, China
  • fYear
    2010
  • fDate
    10-13 June 2010
  • Firstpage
    46
  • Lastpage
    49
  • Abstract
    DWT (discrete wavelet transforms) has become an attractive tool in image registration, however, it is shift- sensitive, which is mainly caused by the aliasing term in downsampling process. Some modified schemes of DWT, such as DTCWT (dual-tree complex wavelet transform), always lead to high computational complexity in registration process because of redundancy. In this paper, a new scheme of discrete wavelet transform is proposed to approximately eliminate the aliasing term while the wavelet representation remains redundancy-free, by which the shift sensitivity of wavelet representations of original signal ca be reduced efficiently. The registration results of two medical images illustrate the superiority of the proposed wavelet decomposition scheme.
  • Keywords
    computerised tomography; discrete wavelet transforms; image registration; image representation; medical image processing; DTCWT; DWT; discrete wavelet transforms; dual-tree complex wavelet transform; image registration; wavelet representation shift sensitivity; Biomedical imaging; Discrete wavelet transforms; Educational institutions; Filters; Image analysis; Image registration; Signal analysis; Signal synthesis; Space vector pulse width modulation; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Image Analysis and Clinical Applications (MIACA), 2010 International Conference on
  • Conference_Location
    Guangdong
  • Print_ISBN
    978-1-4244-8011-1
  • Type

    conf

  • DOI
    10.1109/MIACA.2010.5528412
  • Filename
    5528412