• DocumentCode
    3610442
  • Title

    Improved anisotropic diffusion equation based on new non-local information scheme for image denoising

  • Author

    Jianjun Yuan

  • Author_Institution
    Sch. of Math. & Stat., Southwest Univ., Chongqing, China
  • Volume
    9
  • Issue
    6
  • fYear
    2015
  • Firstpage
    864
  • Lastpage
    870
  • Abstract
    This study presents a new Perona-Malik (PM) model which is based on new non-local means (NLM) theory for an image denoising. In the proposed model, the intensity, space position and gradient information are introduced into NLM model, which weakens the staircasing effect and preserves edge in a processed image. The new PM model enhances the denoising capability, and decreases fine characteristics to be over-smoothed. Comparative experiments show that the denoising capability of the proposed model is superior to the other three existing models.
  • Keywords
    edge detection; gradient methods; image denoising; NLM theory; PM model; Perona-Malik model; anisotropic diffusion equation; denoising capability; gradient information; image denoising; image processing; nonlocal information scheme; nonlocal means theory; space position; staircasing effect;
  • fLanguage
    English
  • Journal_Title
    Computer Vision, IET
  • Publisher
    iet
  • ISSN
    1751-9632
  • Type

    jour

  • DOI
    10.1049/iet-cvi.2014.0415
  • Filename
    7328492