• DocumentCode
    684803
  • Title

    An improved image anisotropic diffusion denoise model

  • Author

    Pingxian Yang ; Zhengwei Chang

  • Author_Institution
    Dept. of Electron. Inf. & Autom., Sichuan Univ. of Sci. & Eng., Zigong, China
  • fYear
    2012
  • fDate
    7-9 Dec. 2012
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Diffusion has received a lot of attention and has experienced significant developments, it can simultaneously enhance, sharpen and denoise image. The anisotropic diffusion model is adjusted according to the set of image gradient, so it has many formats diffusion function. The aim of the present paper is to study function´s character and propose a new diffusion function according to the Aubert model. The results of experiments demonstrate the novel diffusion model denoise the image and retain the details more effective than Aubert diffusion model.
  • Keywords
    image denoising; image enhancement; Aubert diffusion model; diffusion function character; image anisotropic diffusion denoise model; image enhancement; image gradient; image sharpening; Anisotropic diffusion; Diffusion function; Image denoise; Image gradient;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Information Science and Control Engineering 2012 (ICISCE 2012), IET International Conference on
  • Conference_Location
    Shenzhen
  • Electronic_ISBN
    978-1-84919-641-3
  • Type

    conf

  • DOI
    10.1049/cp.2012.2389
  • Filename
    6755768