• DocumentCode
    2632899
  • Title

    Optimization and Implementation of Integer Lifting Scheme for Lossless Image Coding

  • Author

    Kitanovski, V. ; Taskovski, D. ; Gleich, D. ; Planinsic, P.

  • Author_Institution
    Dept. of Electron., Univ. Ss Cyril & Methodius, Skopje
  • fYear
    2008
  • fDate
    16-19 Dec. 2008
  • Firstpage
    170
  • Lastpage
    174
  • 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 predictor´s error variance. The optimized coefficients depend on the autocorrelation structure of the image. The presented lifting scheme adapts not only to every component of the color image, but also to its horizontal and vertical directions. We implement this lifting scheme on the fixed-point TMS320C6416 DSK evaluation board. We obtain experimental results using different types of images, as well as using images captured by camera in a real-time application. These results show that the presented method is competitive to few well-known methods for lossless image compression.
  • Keywords
    data compression; image coding; image colour analysis; optimisation; wavelet transforms; autocorrelation structure; fixed-point TMS320C6416 DSK evaluation; integer lifting scheme; integer-to-integer wavelet transform; lossless image coding; Autocorrelation; Automation; Cameras; Color; Computational efficiency; Digital signal processing; Filters; Image coding; Optimization methods; Wavelet transforms; DSP implementation; adaptive lifting scheme; integer wavelet transform; lossless image compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2008. ISSPIT 2008. IEEE International Symposium on
  • Conference_Location
    Sarajevo
  • Print_ISBN
    978-1-4244-3554-8
  • Electronic_ISBN
    978-1-4244-3555-5
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2008.4775720
  • Filename
    4775720