• DocumentCode
    3031925
  • Title

    Image Denoising Based on Adaptive Filtering and Multi-frame Averaging Filtering

  • Author

    Qinlan, Xie ; Hong, Chen

  • Author_Institution
    Coll. of Electron. & Inf. Eng., South-Central Univ. For Nat., Wuhan, China
  • Volume
    3
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    523
  • Lastpage
    526
  • Abstract
    To deal with some problem of existing single-frame denoising methods, a adaptive spatial filtering method for denoising of multi-fame images is presented. Firstly each frame is processed by adaptive filters to suppressive noise and to preserve the edge simultaneity. Then each frame of image is filtered by averaging the same pixels of multi-frame to denoise fartherly and alleviate the cartoon-like impacts. Three filters including adaptive filtering on signal-frame, simple mean filtering of multi-frame, and adaptive filtering combined with averaging filtering, are tested by two experiments. The results show that the latter improved the performance of denoising compared with the former two methods.
  • Keywords
    adaptive filters; image denoising; spatial filters; adaptive spatial filtering method; image denoising; multiframe averaging filtering; Adaptive filters; Educational institutions; Electronic mail; Image denoising; Information filtering; Information filters; Kernel; Noise reduction; Signal denoising; Wiener filter; Adaptive image filtering; Bilateral filtering; Image denoising; Multi-frame averaging filtering; Steering kernel filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.490
  • Filename
    5376795