• DocumentCode
    176409
  • Title

    A method for wide density salt and pepper noise removal

  • Author

    Qiao Jihong ; Chen Lei ; Chen Yan

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    2940
  • Lastpage
    2943
  • Abstract
    A new method for removal of wide density salt and pepper noise in image is proposed. Every pixel in a noise corrupted image is classified to which it is a noise pixel or noise-free pixel. A noise pixel should be modified by a filter. On the contrary, noise-free pixel is kept unchanged. If noise-free pixel is detected as noise pixel wrongly, the restored image will be blurred. The difference between the central pixel and its neighbors aligned with four directions in local window is used to detect noise. Then the noise pixel is replaced by a histogram weighted mean filtering value. Experimental results show that the proposed method can not only efficiently remove 10%~90% wide density salt-and-pepper noise, but also can well preserve the detail information of an image.
  • Keywords
    filtering theory; image classification; image denoising; image restoration; histogram weighted mean filtering value; noise corrupted image; noise-free pixel; wide density salt-and-pepper noise removal; Histograms; Image edge detection; Image restoration; Information filters; Noise; Histogram; Image denoising; Salt and pepper noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852675
  • Filename
    6852675