• DocumentCode
    1808098
  • Title

    Adaptive noise reduction and image sharpening for digital video compression

  • Author

    Huang, Si Jun

  • Author_Institution
    Scientific-Atlanta Inc., Norcross, GA, USA
  • Volume
    4
  • fYear
    1997
  • fDate
    12-15 Oct 1997
  • Firstpage
    3142
  • Abstract
    This paper presents a framework of digital video preprocessing for digital video compression. The purpose of this preprocessing is to reduce the noise and thus improve the video compression efficiency. A four stage processing system has been proposed. The first process is a median filter to remove the 2D impulse noise. The second process is a 2D spatial filter that is controllable by the video encoder parameters. The third process is an image sharpening operation to enhance the image resolution or details so that the decoded video from the encoded bitstream still gives high resolution content. The last process is a recursive temporal filter that is used to reduce the temporal noise. The recursive filter is designed to adapt to the video content so that high quality temporal filtering is achieved
  • Keywords
    adaptive filters; data compression; filtering theory; image enhancement; image resolution; median filters; recursive filters; spatial filters; video coding; 2D impulse noise; 2D spatial filter; adaptive noise reduction; digital video compression; image resolution; image sharpening; median filter; recursive filter; recursive temporal filter; video encoder; Adaptive filters; Filtering; Image coding; Image resolution; Noise figure; Noise reduction; Satellite broadcasting; Spatial filters; Transform coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.633077
  • Filename
    633077