• DocumentCode
    3525968
  • Title

    A novel sampling scheme for image compression

  • Author

    Aboukhres, Saleh ; Subramanian, Ganesan

  • Author_Institution
    Fac. of Eng., 7th of April Univ., Libya
  • fYear
    2010
  • fDate
    23-25 June 2010
  • Firstpage
    1654
  • Lastpage
    1657
  • Abstract
    The transform approach of image data compression, as a lossy technique, depends on rejection of redundant coefficients, which are distributed depending on the transform used as well as covariance structure of the processed image. The threshold sampling scheme selects the coefficients above a predefined threshold, while, zonal sampling scheme selects the coefficients inside a predefined geometric zone. In this paper, a new scheme for the zone construction of the selected coefficients is presented, in this procedure, the higher-value coefficients are selected using a mathematical formulation. The experimental results, using a group of transforms are compared with that of the other two sampling schemes employing the same transforms. The comparison demonstrates the effectiveness of this method.
  • Keywords
    covariance analysis; data compression; image coding; image segmentation; covariance structure; image data compression; lossy technique; mathematical formulation; predefined geometric zone; redundant coefficients rejection; threshold sampling scheme; zonal sampling scheme; Covariance matrix; Discrete cosine transforms; Image coding; Presses; Symmetric matrices; Transform coding; Compression in spectral domain; Fast transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2010 18th Mediterranean Conference on
  • Conference_Location
    Marrakech
  • Print_ISBN
    978-1-4244-8091-3
  • Type

    conf

  • DOI
    10.1109/MED.2010.5547809
  • Filename
    5547809