• DocumentCode
    301154
  • Title

    A new quadtree predictive image coder

  • Author

    Teng, Chia-Yuan ; Neuhoff, David L.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    73
  • Abstract
    A new quadtree-based lossy image compression algorithm is introduced. One new feature is that one pixel in each quadtree block is predictively encoded while the remaining pixels are linearly predicted from this one and from pixels of previous blocks. Another is that the criteria for subdividing a block involves the reproduction error in each pixel, as opposed to the error energy for the entire block. Though the algorithm has very low complexity, its predictive nature gives it good rate/distortion performance and suppresses blocking artifacts. This paper describes the algorithm, shows the results of coding at .5 and .25 bits per pixel, and compares its peak signal-to-noise ratio with other methods
  • Keywords
    computational complexity; data compression; image coding; interference suppression; linear predictive coding; quadtrees; rate distortion theory; blocking artifacts; complexity; error energy; lossy image compression algorithm; peak signal-to-noise ratio; quadtree predictive image coder; rate/distortion performance; reproduction error; Decoding; Foot; Image coding; Image segmentation; PSNR; Pixel; Rate distortion theory; Transform coding; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.537418
  • Filename
    537418