• DocumentCode
    3065724
  • Title

    Using Wavelet Transform, DPCM and Adaptive Run-length Coding to Compress Images

  • Author

    Thanoon, Ban N.

  • Author_Institution
    Al-Nahrain Univ., Baghdad
  • fYear
    2007
  • fDate
    28-30 June 2007
  • Firstpage
    305
  • Lastpage
    309
  • Abstract
    This research work aims to investigate the performance of a suggested wavelet based image compression system. The scheme of the proposed system utilizes 9/7 biorthogonal wavelet transforms to decompose the image signal, then uses run-length coding, with a little modification, to compress the detail sub-bands. A hierarchal quantization scheme was applied to reduce the number of bits required to encode the wavelet coefficients. The test results indicate that the proposed compression scheme shows good performance aspects in addition to its simplicity.
  • Keywords
    data compression; image coding; quantisation (signal); wavelet transforms; adaptive run-length coding; data compression; digital image compression; hierarchal quantization; image signal decomposition; wavelet coefficient; wavelet transform; Data compression; Discrete cosine transforms; Discrete wavelet transforms; Entropy; Filter bank; Image coding; Low pass filters; Transform coding; Vector quantization; Wavelet transforms; data compression; digital image compression; run-length coding.; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Information Systems and Industrial Management Applications, 2007. CISIM '07. 6th International Conference on
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    0-7695-2894-5
  • Type

    conf

  • DOI
    10.1109/CISIM.2007.74
  • Filename
    4273539