• DocumentCode
    256366
  • Title

    A fast modified signed Discrete Cosine Transform for image compression

  • Author

    Haweel, R.T. ; El-Kilani, W.S. ; Ramadan, H.H.

  • Author_Institution
    Basic Sci. Dept., Ain-Shams Univ., Cairo, Egypt
  • fYear
    2014
  • fDate
    22-23 Dec. 2014
  • Firstpage
    56
  • Lastpage
    61
  • Abstract
    The Discrete Cosine Transform (DCT) is widely used in image compression for its high power compaction property. The Signed DCT (SDCT) and its modifications approximate the DCT and proceed faster. This paper introduces an efficient and low complexity 8 point transform. The proposed algorithm is derived by applying the signum function operator to an existing SDCT modification transform with good power compaction capabilities. Consequently, the elements of the proposed transform are only zeroes and ones. No multiplications or shift operations are required. The introduced transform keeps the high power compaction capabilities of its originating transform and, in the same time, provides a saving in computational complexity. A flow diagram is provided for the fast implementation of the transform. Only 17 additions are required for both forward and backward transformations. Simulation experiments are provided to justify the efficiency and improved performance of the proposed transform in image compression compared to other transforms.
  • Keywords
    computational complexity; data compression; discrete cosine transforms; image coding; SDCT; backward transformations; fast modified signed discrete cosine transform; forward transformations; image compression; low complexity 8 point transform; power compaction capabilities; signed DCT; Databases; Transforms; 8×8 transforms; Discrete Cosine Transform; Fast computation; Image compression; Signed Discrete Cosine Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering & Systems (ICCES), 2014 9th International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4799-6593-9
  • Type

    conf

  • DOI
    10.1109/ICCES.2014.7030928
  • Filename
    7030928