• DocumentCode
    1243064
  • Title

    Recompression of JPEG images by requantization

  • Author

    Bauschke, Heinz H. ; Hamilton, Christopher H. ; Macklem, Mason S. ; McMichael, Justin S. ; Swart, Nicholas R.

  • Author_Institution
    Dept. of Math. & Stat., Guelph Univ., Ont., Canada
  • Volume
    12
  • Issue
    7
  • fYear
    2003
  • fDate
    7/1/2003 12:00:00 AM
  • Firstpage
    843
  • Lastpage
    849
  • Abstract
    We report a novel heuristic for requantizing JPEG images. The resulting images are generally smaller and often have improved perceptual image quality over a "blind" requantization approach, that is, one that does not consider the properties of the quantization matrices. The heuristic is supported by a detailed mathematical treatment which incorporates the well-known Laplacian distribution of the AC discrete cosine transform (DCT) coefficients with an analysis of the error introduced by requantization. We note that the technique is applicable to any image compression method which employs discrete cosine transforms and quantization.
  • Keywords
    data compression; discrete cosine transforms; image coding; matrix algebra; quantisation (signal); DCT; JPEG image recompression; Laplacian distribution; discrete cosine transform; heuristic; image compression; quantization matrices; requantization; Discrete cosine transforms; Error analysis; Helium; Image coding; Image quality; Internet; Laplace equations; Mathematics; Quantization; Transform coding;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2003.812375
  • Filename
    1212660