• DocumentCode
    2836390
  • Title

    Video compression using integer DCT

  • Author

    Chen, Ying-Jui ; Soontorn Oraintara ; Nguyen, Truong

  • Author_Institution
    Dept. of Electr. Comput. & Eng., Boston Univ., MA, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    10-13 Sept. 2000
  • Firstpage
    844
  • Abstract
    This paper describes the implementation of the integer discrete cosine transform (IntDCT) using the Walsh-Hadamard transform and the lifting scheme. The implementation is in the forms of shifts and adds, and all internal nodes have finite precision. A general-purpose scheme of 8-pt IntDCT with complexity of 45 adds and 18 shifts is proposed which gives comparable performance to the floating-point DCT (FloatDCT). For this particular scheme with 8-bit input, perfect reconstruction (PR) is preserved even when all the internal nodes are limited to 16-bit words, rendering the Pentium MMX optimization possible. Implementation has been done to incorporate the proposed IntDCT into the H.263+ coder, and the resulting system performs equally well as the original. Further extension to the MPEG coder is straightforward. The proposed IntDCT is reversible, with a low level of power consumption, and is very suitable for source coding, and communication, etc. in a mobile environment.
  • Keywords
    Hadamard transforms; code standards; computational complexity; digital arithmetic; discrete cosine transforms; image reconstruction; inverse problems; source coding; telecommunication standards; transform coding; video coding; 16 bit; 8 bit; H.263+ coder; MPEG coder; Pentium MMX optimization; Walsh-Hadamard transform; adds; complexity; finite precision internal nodes; floating-point DCT; integer DCT; integer discrete cosine transform; lifting scheme; low power consumption; mobile environment; perfect reconstruction; shifts; source coding; video compression; video/image coding standard; Arithmetic; Bit rate; Discrete cosine transforms; Discrete transforms; Energy consumption; Image coding; Image reconstruction; Kernel; Source coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC, Canada
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.899842
  • Filename
    899842