• DocumentCode
    2564621
  • Title

    Multiwavelet in comparison with Barkel wavelet and 9/7 wavelet in image compression

  • Author

    Muhsen, Zahraa F. ; Alzubaydi, Dhia A. ; Alnsour, Ayman J

  • Author_Institution
    Fac. of Sci. & Inf. Technol., Isra Private Univ., Amman, Jordan
  • fYear
    2009
  • fDate
    18-19 Nov. 2009
  • Firstpage
    295
  • Lastpage
    298
  • Abstract
    For best performance in image compression, scalar wavelet requires filters that combine a number of desirable properties, such as orthogonality and symmetry. The Multiwavelet is a complete orthonormal and symmetry. Multiwavelet shows promise in obviating some of the Multiwavelt with orthonormal Barkel wavelet, and 9/7 wavelet in image compression performance on 6 gray scale images. A proposed compression algorithm is used, which include the use of Round function and the Run Length Encoding techniques (RLE). The result is obtained in terms of PSNR, and Bit Rate (BitR). Extensive experimental results demonstrate that Multiwavelet methods exhibit performance high to, or in several cases superior to, the other methods in the proposed algorithm. This matches our expectation based on our results that indicate Multiwavelet have the highest result.
  • Keywords
    data compression; image coding; wavelet transforms; 9/7 wavelet; Barkel wavelet; gray scale images; image compression; multiwavelet method; run length encoding techniques; scalar wavelet; Decision support systems; Image coding; Image processing; Signal processing; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-5560-7
  • Type

    conf

  • DOI
    10.1109/ICSIPA.2009.5478664
  • Filename
    5478664