• DocumentCode
    145108
  • Title

    A new image denoising method based on Gaussian filter

  • Author

    Manyu Wang ; Sheng Zheng ; Xiaolong Li ; Xiongjie Qin

  • Author_Institution
    Coll. of Comput. & Inf. Technol., China Three Gorges Univ., Yichang, China
  • Volume
    1
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    163
  • Lastpage
    167
  • Abstract
    In this paper, we propose a new image denoising method based on Gaussian filter and Non-local means filter. The new algorithm dealing with the image noise learns from the weighted average thoughts of particle filter. we analyse the difference between the proposed method and other two algorithms, then we do multi-group experiments to compare the denoising effect of these methods, and evaluate their performance mainly through visual effect and peak signal-to-noise ratio (PSNR). The experimental results show that the proposed new method is effective in image denoising.
  • Keywords
    Gaussian processes; image denoising; particle filtering (numerical methods); Gaussian filter; PSNR; image denoising method; nonlocal means filter; particle filter; peak signal-to-noise ratio; visual effect; Image denoising; PSNR; denoising effect; visual effect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6948089
  • Filename
    6948089