• DocumentCode
    3380690
  • Title

    Real time video denoising

  • Author

    Reeja, S.R. ; Kavya, N.P.

  • Author_Institution
    CSE Dept., RNSIT, Bangalore, India
  • fYear
    2012
  • fDate
    19-21 July 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper is dedicated for achieving real-time video denoising. A detailed year wise survey has been given in the paper. A sophisticated method has been proposed for achieving real-time video denoising. The basic idea behind is to use different filtering strategies for background and moving images. Firstly, background and moving images are separated by changing detection technique. Then temporal averaging filter and spatial filter are used for recovering the background and moving objects, respectively. Thus, detail preserving can be performed in the real time.
  • Keywords
    image denoising; image motion analysis; spatial filters; video signal processing; background object recovery; changing detection technique; detail preservation; filtering strategy; moving image; moving object recovery; real time video denoising; spatial filter; temporal averaging filter; Filtering; Image sequences; Noise; Noise reduction; Real time systems; Streaming media; Vectors; real time; temporal and spatial filter; video denoising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering Education: Innovative Practices and Future Trends (AICERA), 2012 IEEE International Conference on
  • Conference_Location
    Kottayam
  • Print_ISBN
    978-1-4673-2267-6
  • Type

    conf

  • DOI
    10.1109/AICERA.2012.6306745
  • Filename
    6306745