• DocumentCode
    301735
  • Title

    Experiments in adaptive predictive coding

  • Author

    Li, Xiaobo ; Nehru, Vikas

  • Author_Institution
    Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada
  • Volume
    4
  • fYear
    1995
  • fDate
    22-25 Oct 1995
  • Firstpage
    3525
  • Abstract
    This paper reports experiments in image compression using adaptive sampling and predictive coding. A picture usually comprises of areas of varying detail. The authors first detect these areas, and then sample key points from them. An area with greater detail requires many sample points to suitably represent it, whereas regions with lesser detail can be represented with fewer points. These key sample points are then used to predict the remainder of the image. Combining the use of adaptive sampling with predictive encoding, the authors´ algorithm manages to achieve compression while maintaining the desired image quality. Its performance is compared to JPEG in terms of compression ratio and image quality
  • Keywords
    data compression; encoding; image coding; image segmentation; prediction theory; JPEG; adaptive predictive coding; adaptive sampling; compression ratio; image compression; image quality; Image coding; Image quality; Image sampling; Image segmentation; Iterative algorithms; Pixel; Predictive coding; Quantization; Tail; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2559-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1995.538333
  • Filename
    538333