• DocumentCode
    1735964
  • Title

    Image De-noising Based on Nonlocal Diffusion Tensor

  • Author

    Yu, Han

  • Author_Institution
    Dept. of Math., Xidian Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2009
  • Firstpage
    501
  • Lastpage
    504
  • Abstract
    The nonlocal structure tensor of images is defined by using the nonlocal spatial gradients. The eigenvectors of the nonlocal structure tensor consist in a characteristic space for the image, based on which the nonlocal diffusion tensor is constructed. Utilizing the nonlocal diffusion tensor, we introduce the nonlocal anisotropic diffusion model for image de-noising. The model we proposed differs from the local anisotropic diffusion in that, not only neighboring pixels but also pixels faraway with similar intensities are concerned in our model. The main advantage of the model is that it protects textures much better than the local model.
  • Keywords
    eigenvalues and eigenfunctions; gradient methods; image denoising; image texture; tensors; eigenvector; image denoising; image texture; nonlocal anisotropic diffusion; nonlocal diffusion tensor; nonlocal spatial gradient; nonlocal structure tensor; 1f noise; Anisotropic magnetoresistance; Image denoising; Image processing; Image storage; Information security; Mathematics; Noise reduction; Protection; Tensile stress; de-noising; diffusion tensor; nonlocal operators; texture structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
  • Conference_Location
    Xian
  • Print_ISBN
    978-0-7695-3744-3
  • Type

    conf

  • DOI
    10.1109/IAS.2009.193
  • Filename
    5283094