• DocumentCode
    2243047
  • Title

    Application of PDE-Based Image Smoothing Method in Digital Image Processing

  • Author

    Li-juan, Han ; Yuan-hang, Cheng ; Yi-Wei, Zhao ; Ping-hong, Ren

  • Author_Institution
    Comput. Sci. Coll., Qufu Normal Univ., Rizhao, China
  • Volume
    2
  • fYear
    2009
  • fDate
    30-31 May 2009
  • Firstpage
    28
  • Lastpage
    31
  • Abstract
    Compared with traditional image smoothing method, partial differential equations -based image smoothing method is better in preserving image features while suppressing image noise. The PDE-based image denoising smoothing algorithm and an improved algorithm based on it are discussed in the paper. A good result is achieved in the experiment of identifying flaws on precise optical componentspsila surface with the application of the methods.
  • Keywords
    image denoising; partial differential equations; digital image processing; flaw identification; image denoising smoothing algorithm; partial differential equations; precise optical components; Computer science; Digital images; Educational institutions; Filtering; Optical devices; Optical filters; Optical noise; Partial differential equations; Protection; Smoothing methods; Perona & Malik model; image smoothing; partial differential equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Digital Society, 2009. ICNDS '09. International Conference on
  • Conference_Location
    Guiyang, Guizhou
  • Print_ISBN
    978-0-7695-3635-4
  • Type

    conf

  • DOI
    10.1109/ICNDS.2009.87
  • Filename
    5116676