• DocumentCode
    3457937
  • Title

    Denoising and Enhancement of Magnetic Resonance Image Based on the Dyadic Wavelet Transform

  • Author

    Zheng-Hong Huang ; Lia Xia

  • Author_Institution
    Coll. of Comput. Sci., Chongqing Technol. & Bus. Univ., Chongqing, China
  • fYear
    2010
  • fDate
    21-23 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper is applied non-linear operators for image enhancing. The efficient algorithm of MRI enhancement is provided by decomposition of localized information at different spatial frequencies. So the MRI edge textures was enhanced while suppresses the noise maximally. Experiment was show more obvious unseen or barely seen features, and the visual effect is improved after the method, and help for diagnosing the state of an illness.
  • Keywords
    image denoising; image enhancement; image texture; magnetic resonance imaging; wavelet transforms; MRI edge texture; MRI enhancement; dyadic wavelet transform; image denoising; magnetic resonance image enhancement; nonlinear operator; spatial frequency; Image edge detection; Magnetic resonance imaging; Noise; Noise reduction; Wavelet analysis; Wavelet coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (CCPR), 2010 Chinese Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-7209-3
  • Type

    conf

  • DOI
    10.1109/CCPR.2010.5659241
  • Filename
    5659241