• DocumentCode
    580237
  • Title

    A Novel Partial Differential Equation Method Based on Image Features and Its Applications in Denoising

  • Author

    Yahya, Ali Abullah ; Tan, Jieqing

  • Author_Institution
    Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China
  • fYear
    2012
  • fDate
    23-25 Nov. 2012
  • Firstpage
    46
  • Lastpage
    51
  • Abstract
    In this paper a novel denoising algorithm based on partial differential equation variational approach is proposed. The proposed algorithm is obtained by weighted combinations of the an isotropic diffusion model and total variation model. Experimental results show that our new approach is more efficient in image denoising than both an isotropic diffusion and total variation in terms of preserving edges information and texture features.
  • Keywords
    feature extraction; image denoising; image texture; edge information preservation; image denoising algorithm; image features; isotropic diffusion model; partial differential equation variational approach; texture feature preservation; total variation model; Anisotropic magnetoresistance; Image edge detection; Mathematical model; Noise reduction; PSNR; TV; Image features; PM model; Partial Differential Equation (PDE); TV model; Variational method; Weight function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Home (ICDH), 2012 Fourth International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-1348-3
  • Type

    conf

  • DOI
    10.1109/ICDH.2012.36
  • Filename
    6376382