• DocumentCode
    2083599
  • Title

    Application of Multi-Resolution Filter in Image Denoising

  • Author

    Li, Rong ; Yu, Sheng Sheng

  • Author_Institution
    Coll. of Comput. Sci. & Technol., HuaZhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Many applications require the management of image data. A good approach should be efficient and detect noise in image of arbitrary shape. A new concept of Multi-resolution filter is proposed in this paper. It is suitable for images corrupted by speckled noise than any other filters. The implementation of a filter bank is expressed. Using multi-resolution property of wavelet transforms, we can effectively identify arbitrary speckled image at different degrees. We describe an application to speckle reduction in images, meanwhile we study and compare the performances of speckled reduction method with those that of the most often used adaptive filters, the result show that, with our method, the performance improve for efficiency.
  • Keywords
    adaptive filters; image denoising; wavelet transforms; adaptive filters; arbitrary shape image; filter bank; image data management; image denoising; multi-resolution filter; speckle reduction; speckled noise; wavelet transforms; Adaptive filters; Application software; Computer science; Educational institutions; Filter bank; Image denoising; Least squares approximation; Multi-stage noise shaping; Noise reduction; Speckle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5301426
  • Filename
    5301426