• DocumentCode
    400036
  • Title

    Binarized switching median filter with pre-segmentation for impulse noise removal

  • Author

    Qin, Peng ; Ding, Run Tao

  • Author_Institution
    Sch. of Electron. Inf. Eng., Tianjin Univ., China
  • Volume
    1
  • fYear
    2003
  • fDate
    12-15 Oct. 2003
  • Firstpage
    69
  • Abstract
    To restore image corrupted by salt-pepper impulse noise, a new switching median filter, pre-segmentation binarized switching median (PBSM) filter, is presented, which is based on adaptive thresholds decomposition. The PBSM filter consists of two stages. The binarized switching median (BSM) filter is developed to classify each pixel to be uncorrupted pixel or impulse noise so as to decide whether to deal with standard median (SM) filter or not. Segmentation uses Otsu´s segmentation method to adaptively separate image for PBSM filter becoming effective. Experimental results show that this proposed filter provides better performance than standard median filter.
  • Keywords
    filtering theory; image restoration; image segmentation; impulse noise; median filters; Otsus segmentation method; SM filter; adaptive threshold decomposition; image restoration; impulse noise removal; presegmentation binarized switching median filter; salt-pepper impulse noise corruption; standard median filter; uncorrupted pixel; Adaptive filters; Filtering; Image edge detection; Image restoration; Image segmentation; Noise generators; Noise level; Pixel; Samarium; Standards development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
  • Print_ISBN
    0-7803-8125-4
  • Type

    conf

  • DOI
    10.1109/ITSC.2003.1251923
  • Filename
    1251923