• DocumentCode
    2230850
  • Title

    A Fast Method of Estimating Gaussian Noise

  • Author

    Liu, Aihong

  • Author_Institution
    Sch. of Inf. Technol., Jiangxi Univ. of Finance & Econ., Nanchang, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    441
  • Lastpage
    444
  • Abstract
    Based on the analysis of existed evaluation algorithms, the paper proposes a fast method of estimating Gaussian noise. The proposed method firstly pre-filter the image to remove the influence of image content; then plot the image to obtain sub-plots´ variance; and lastly calculate variance of original noise according to sub-plots´ variance. Experimental results validate the proposed method.
  • Keywords
    Gaussian noise; image denoising; Gaussian noise estimation; image content; original noise; Algorithm design and analysis; Filtering algorithms; Filters; Finance; Gaussian noise; Image quality; Information analysis; Information science; Information technology; Noise reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.30
  • Filename
    5455455