• DocumentCode
    2458306
  • Title

    An Improved Filtering Algorithm Based on Gray Correlation Degree

  • Author

    Zhu, Zhu ; Wang, Qing

  • Author_Institution
    Sch. of Instrum. Sci. & Eng., Southeast Univ., Nanjing, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    598
  • Lastpage
    600
  • Abstract
    Filtering is an essential step to image processing, at present, a lot of filtering algorithm will damage the detail information of an image when they were used to remove noise that distribute over the image, in such circumstances, attaining an ideal effect is very difficult. The improved filtering algorithm based on gray correlation degree makes use of gray correlation analysis to find out random noise and give to accurate gray value. Because of this we resolve the above-mentioned problem effectively. At last the experimental results validate the above conclusions.
  • Keywords
    filtering theory; image denoising; statistical analysis; gray correlation analysis; gray correlation degree; image processing; improved filtering algorithm; Algorithm design and analysis; Correlation; Filtering; Filtering algorithms; PSNR; Pixel; filtering; gray correlation degree; noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8814-8
  • Electronic_ISBN
    978-0-7695-4270-6
  • Type

    conf

  • DOI
    10.1109/ICCIS.2010.151
  • Filename
    5709072