• DocumentCode
    2052641
  • Title

    DCT Coefficient Prediction for JPEG Image Coding

  • Author

    Lakhani, Gopal

  • Author_Institution
    Texas Tech Univ., Lubbock
  • Volume
    4
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    The JPEG baseline algorithm follows a block-based coding approach and therefore, it does not explore source redundancy at the sub-block level. This note explores correlation between adjacent rows (or columns) at the block boundaries for predicting DCT coefficients of the first row/column of DCT blocks. Experimental results show that our prediction method reduces the average JPEG DC residual by about 75% for images compressed at the default quality level. The same for AC01/10 coefficients is about 30%. It reduces the final code bits by about 4.55% of the total image code for grey images. Our method can be implemented as a part of the JPEG codec without requiring any changes to its control structure or to its code stream syntax.
  • Keywords
    codecs; data compression; discrete cosine transforms; image coding; prediction theory; transform coding; DCT coefficient prediction; JPEG baseline algorithm; JPEG codec; block-based coding; discrete cosine transform; grey images; image coding; image compression; Codecs; Discrete cosine transforms; Frequency; Image coding; MPEG 4 Standard; Pixel; Prediction methods; Redundancy; Streaming media; Transform coding; DCT; Image coding; JPEG; prediction methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379986
  • Filename
    4379986