• DocumentCode
    1099026
  • Title

    Quantization error and dithering

  • Author

    Blinn, James F.

  • Author_Institution
    California Inst. of Technol., Pasadena, CA, USA
  • Volume
    14
  • Issue
    4
  • fYear
    1994
  • fDate
    7/1/1994 12:00:00 AM
  • Firstpage
    78
  • Lastpage
    82
  • Abstract
    Digital storage and transmission promise noise-free images, but it is important to keep in mind that even digital is not perfect. Digital images have their own sources of noise: round-off error and quantization error. Whenever you do any sort of image arithmetic, such as contrast enhancement or compositing, you get roundoff error. In fact, since the arithmetic is often done in only X-bit accuracy, sometimes the round-off error can be substantial. You get quantization error, on the other hand, whenever you go from an analog signal to a digital signal or whenever you go from a high color-resolution signal (for example, 24 bits per pixel) to a low resolution signal (for example, 8 bits per pixel). The author considers the quantization error from analog to digital.<>
  • Keywords
    data compression; image coding; signal processing; analog signal; contrast enhancement; digital signal; high color-resolution signal; image arithmetic; image processing; low resolution signal; noise; noise-free images; quantization error; round-off error; Arithmetic; Computer errors; Digital images; Frequency; Image sampling; Image storage; Pixel; Quantization; Roundoff errors; Signal resolution;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/38.291534
  • Filename
    291534