• DocumentCode
    3228095
  • Title

    Image enhancement based on lifting wavelet transform

  • Author

    Wang, Xiu-Bi

  • Author_Institution
    Sichuan Univ. of Sci. & Eng. (SUSE), Zigong, China
  • fYear
    2009
  • fDate
    25-28 July 2009
  • Firstpage
    739
  • Lastpage
    741
  • Abstract
    The traditional image enhancement algorithms enhance noise signal in image while they enhance image, which leads to the de-scent of information entropy. Designing image enhancement systems with good nature is a goal which all researchers pursue. Method of lifting can best deal with MRA Multi-resolution Analysis method which is time and memory consuming which impedes its real-time application. The process of lifting method was introduced. Method of image enhancement based on lifting wavelet was introduced. The algorithm and traditional wavelet image enhancement algorithms are compared. Result of the experiment indicate, the quality of image have been improved. It is better than traditional wavelet image enhancement algorithms.
  • Keywords
    image denoising; image enhancement; image resolution; wavelet transforms; image enhancement; information entropy; lifting wavelet transform; multiresolution analysis method; noise signal enhancement; Computer science; Computer science education; Frequency; Image enhancement; Image processing; Information entropy; Low-frequency noise; Multiresolution analysis; Wavelet analysis; Wavelet transforms; Image Enhancement; Wavelet Transform; lifting wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-3520-3
  • Electronic_ISBN
    978-1-4244-3521-0
  • Type

    conf

  • DOI
    10.1109/ICCSE.2009.5228128
  • Filename
    5228128