• DocumentCode
    3586306
  • Title

    Anisotropic diffusion-based denoising using residual image for preservation of image details

  • Author

    GyuJin Bae ; Sung In Cho ; Young Hwan Kim

  • Author_Institution
    Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea
  • fYear
    2014
  • Firstpage
    52
  • Lastpage
    53
  • Abstract
    This paper presents an anisotropic diffusion-based approach to noise reduction, which utilizes the residual image in the wavelet domain to improve the quality of image detail preservation. In the experimental results, the proposed method improves the quality of denoised images by increasing peak signal-to-noise ratio up to 1.17 dB and structural similarity index up to 0.026.
  • Keywords
    image denoising; wavelet transforms; anisotropic diffusion-based denoising; image details preservation; noise reduction; residual image; wavelet domain; Design automation; ISO standards; Image segmentation; Indexes; Noise reduction; PSNR; Solid modeling; Anisotropic diffusion; Image denoising; Noise reduction; residual image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SoC Design Conference (ISOCC), 2014 International
  • Type

    conf

  • DOI
    10.1109/ISOCC.2014.7087590
  • Filename
    7087590
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3586306