• DocumentCode
    1657367
  • Title

    Lossless image compression using adaptive lifting scheme based on minimum entropy criterion

  • Author

    Kitanovski, V. ; Bogdanov, M. ; Taskovski, D.

  • Author_Institution
    Dept. of Electron., Ss Cyril & Methodius Univ., Skopje, Macedonia
  • fYear
    2009
  • Firstpage
    185
  • Lastpage
    188
  • Abstract
    This paper presents an adaptive lifting scheme, which performs integer-to-integer wavelet transform, for lossless image compression. We optimize the coefficients of the predict filter in the lifting scheme to minimize the entropy of the detail coefficients. The optimized coefficients depend on the auto-correlation structure of the image. The presented lifting scheme adapts to both horizontal and vertical directions of the image. We obtain experimental results using different types of images. These results show that the presented adaptive transform is a competitive wavelet transform for lossless image compression.
  • Keywords
    data compression; image coding; minimum entropy methods; wavelet transforms; adaptive lifting scheme; auto-correlation structure; integer-to-integer wavelet transform; lossless image compression; minimum entropy criterion; Autocorrelation; Computational efficiency; Discrete wavelet transforms; Entropy; Filters; Graphics; Image coding; Kernel; Minimization methods; Wavelet transforms; adaptive lifting scheme; entropy minimization; lossless image compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
  • Conference_Location
    Cardiff
  • Print_ISBN
    978-1-4244-2709-3
  • Electronic_ISBN
    978-1-4244-2711-6
  • Type

    conf

  • DOI
    10.1109/SSP.2009.5278607
  • Filename
    5278607