• DocumentCode
    2311991
  • Title

    Speckle noise removal by robust modeling

  • Author

    Eom, Kie B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., George Washington Univ., DC, USA
  • Volume
    3
  • fYear
    2003
  • fDate
    14-17 Sept. 2003
  • Abstract
    A robust modeling approach is applied to remove speckle noise in synthetic aperture images. Conventional adaptive filtering approaches in speckle filtering smoothes the image selectively depending on the details of underlying textures, and tend to blur details after speckle removal. In the proposed approach, the image is assumed to be composed of structural and stochastic components, and the stochastic component is modeled by a robust model. The proposed method is applied to real synthetic aperture images to demonstrate the validity and effectiveness of the algorithm.
  • Keywords
    image denoising; interference suppression; radar imaging; speckle; synthetic aperture radar; SAR image; robust modeling; speckle noise removal; stochastic components; structural components; synthetic aperture images; synthetic aperture radar; Adaptive filters; Cleaning; Filtering; Image resolution; Noise reduction; Noise robustness; Parameter estimation; Polynomials; Smoothing methods; Speckle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7750-8
  • Type

    conf

  • DOI
    10.1109/ICIP.2003.1247207
  • Filename
    1247207