• DocumentCode
    2745322
  • Title

    An efficient speckle removing algorithm based on new morphological operators

  • Author

    Kher, Alok ; Mitra, Sunanda

  • Author_Institution
    Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
  • Volume
    2
  • fYear
    1994
  • fDate
    3-5 Aug 1994
  • Firstpage
    852
  • Abstract
    The present paper describes a morphology based technique to remove speckle noise. The commonly used technique of spatial averaging blurs the image. A morphology based technique used by some investigators tends to over smooth the images by removing significant amount of thin regions. The present technique preserves fine details of the image while reducing the speckle noise significantly. We have illustrated results on a synthetic aperture radar (SAR) image
  • Keywords
    image restoration; mathematical morphology; mathematical operators; radar imaging; speckle; synthetic aperture radar; algorithm; morphological operators; speckle noise removal; synthetic aperture radar image; Computer vision; Filters; Image analysis; Laboratories; Morphological operations; Morphology; Noise reduction; Pixel; Speckle; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
  • Conference_Location
    Lafayette, LA
  • Print_ISBN
    0-7803-2428-5
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1994.518947
  • Filename
    518947