• DocumentCode
    3224121
  • Title

    A New Image Denosing Method

  • Author

    Tang Quan-hua ; Ye Jun ; Lei Jin-e ; Zhou, Yan

  • Author_Institution
    Sch. of Inf. Sci. & Technol., South West Jiaotong Univ., Chengdu
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    78
  • Lastpage
    82
  • Abstract
    It´s difficult to filter an image while protecting its detail. In this paper, a novel filter is proposed for detail preserving restoration of images. Corrupted pixels are detected by a multi-scale way. For the corrupted pixels, we use a kind of four direction interleaved interpolation value to replace their value. The performance of the proposed operator is tested for different test images corrupted at various noise densities. Experimental results show that the proposed filter can not only provide better performance of suppressing noise but also preserve more detail features. It is also demonstrated preferable performance in suppressing different impulse noise density from 10% to 90%.
  • Keywords
    filtering theory; image denoising; image restoration; interpolation; corrupted pixel detection; direction interleaved interpolation value; image denosing method; image filtering; image restoration; noise suppression; Additive noise; Detectors; Digital images; Filters; Gaussian noise; Image restoration; Interpolation; Noise reduction; Pixel; Testing; Image Denoising; Image Processing; Lagrange Interpolation; Scale-Space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.15
  • Filename
    4659726