• DocumentCode
    463585
  • Title

    Low Complexity Fixed-Point Approximation of Inverse Discrete Cosine Transform

  • Author

    Reznik, Yuriy A. ; Hinds, Arianne T. ; Rijavec, N.

  • Author_Institution
    QUALCOMM, Inc., San Diego, CA
  • Volume
    1
  • fYear
    2007
  • fDate
    15-20 April 2007
  • Abstract
    This paper presents an efficient algorithm for computing the Inverse discrete cosine transform (IDCT) for image and video coding applications. This algorithm was submitted in response to MPEG´s call for proposals for ISO/IEC 23002-2 (fixed-point 8times8 IDCT and DCT) standard, and was subsequently adopted in the Working Draft 1 of this standard. Our proposed algorithm is a multiplication-free implementation. It is based on a modification of Arai, Agui, and Nakajima´s (AAN) factorization, and requires only 42 addition and 16 shift operations per scaled ID transform. Each register in our scaled ID transform requires at most 22 bits. This implementation complies with the MPEG IDCT precision specification ISO/IEC 23002-1.
  • Keywords
    discrete cosine transforms; video coding; ISO/IEC 23002-2; MPEG IDCT; image coding; inverse discrete cosine transform; low complexity fixed-point approximation; video coding; Approximation algorithms; Decoding; Discrete cosine transforms; IEC standards; ISO standards; Image reconstruction; MPEG standards; Proposals; Strontium; Video coding; DCT; IDCT; factorization; multiplier-less algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0727-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2007.366106
  • Filename
    4217278