• DocumentCode
    3062637
  • Title

    On piecewise-planar representation of images

  • Author

    Kiryati, N. ; Bruckstein, A.M.

  • Author_Institution
    Inst. for Commun. Technol., Swiss Federal Inst. of Technol., Zurich, Switzerland
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    451
  • Lastpage
    454
  • Abstract
    It is customary to represent an analog image in digital form by dividing its support to pixels, and within each pixel to represent the brightness by a quantized scalar i.e., to approximate the 2-D image function by a horizontal planar patch. This paper studies a representation scheme in which the image function is represented within each pixel by an inclined planar patch. If the image function is to be represented by b bits per pixel, a bit allocation trade-off arises, and the optimal allocation of bits to the representation of the average value and of the two slope coefficients within each pixel needs to be determined. Analysis shows that allocating all the bits to represent the average brightness is not always optimal, and bits should be allocated to the representation of the slope coefficients. Similar results were obtained for the 1-D case
  • Keywords
    brightness; image processing; stochastic processes; 2D image function; 2D stationary stochastic process; analog image; bit allocation trade-off; brightness; deterministic images; digital representation; image representation; inclined planar patch; piecewise-planar representation; quantized scalar; slope coefficients; Bit rate; Brightness; Communications technology; Computer science; Image storage; Interpolation; Pixel; Quantization; Stochastic processes; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2920-7
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.202022
  • Filename
    202022