• DocumentCode
    3054537
  • Title

    Improvement of video signal-to-noise ratio with adaptive recursive filtering

  • Author

    Gangal, Ali ; Kayikcioglu, Temel ; Atasoy, Ayten ; Ozer, Mahmut

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Karadeniz Tech. Univ., Trabzon, Turkey
  • Volume
    3
  • fYear
    1996
  • fDate
    13-16 May 1996
  • Firstpage
    1686
  • Abstract
    In order to reduce the noise in video signals, an adaptive recursive filtering technique is proposed. While filtering out the noise, a motion estimation process is used in order to preserve motion details. The shape of the filter transfer function is changed according to type of estimated motion. Therefore, the amount of noise reduction becomes motion dependent. To the test performance of the method, several subjective tests have been done. The results indicate that the noise visibility on the screen is prominently reduced while moving details are preserved
  • Keywords
    adaptive filters; adaptive signal processing; filtering theory; motion estimation; noise; recursive filters; transfer functions; video signal processing; adaptive recursive filtering; filter transfer function; motion details; motion estimation; noise reduction; noise visibility; performance; subjective tests; video signal-to-noise ratio; Adaptive filters; Colored noise; Degradation; Digital filters; Filtering; Motion estimation; Noise reduction; Noise shaping; Signal to noise ratio; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean
  • Conference_Location
    Bari
  • Print_ISBN
    0-7803-3109-5
  • Type

    conf

  • DOI
    10.1109/MELCON.1996.551279
  • Filename
    551279