• DocumentCode
    170461
  • Title

    A new gradient-based nonlinear diffusion method applied to image denoising

  • Author

    Xiaobo Zhang ; Xiangchu Feng

  • Author_Institution
    Inst. of Graphics & Image Process., Xianyang Normal Univ., Xianyang, China
  • fYear
    2014
  • fDate
    16-18 May 2014
  • Firstpage
    312
  • Lastpage
    315
  • Abstract
    This paper presents a new nonlinear diffusion method to address the problem of noise removal. In the method, the diffusion function is based on gradient detection. The local window in the square gradient domain is used to extract the gradient information accurately. The tests demonstrate the proposed method gets the best results both subjectively and objectively compared to the related gradient domain algorithms.
  • Keywords
    gradient methods; image denoising; gradient detection; gradient domain algorithms; gradient information extraction; gradient-based nonlinear diffusion method; image denoising; local window; noise removal; square gradient domain; Image denoising; Image edge detection; Manganese; Noise measurement; Noise reduction; PSNR; diffusion function; image denoising; local window;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Progress in Informatics and Computing (PIC), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-2033-4
  • Type

    conf

  • DOI
    10.1109/PIC.2014.6972348
  • Filename
    6972348