• DocumentCode
    2380509
  • Title

    Speckle reduction in ultrasound images by minimization of total variation

  • Author

    Djemal, Khalifa

  • Author_Institution
    Lab. Syst. Complexes, Univ. d´´Evry Val d´´Essonnes, France
  • Volume
    3
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    To limit the noise in an image, some techniques are based on the calculation of an average intensity in each pixel of the image by considering a some neighbor. However, these techniques tend to attenuate contours present in the image. This affect edge and particularly penalizing for the segmentation algorithms whose finality is to find contours. The restoration method by minimization of total variation, suggested by Rudin et al. (1992), consists in minimizing under constraints of the great variations present in the image while preserving contours. In this paper, we propose an adaptation of the method of Rudin et al. (1992) to the ultrasound images restoration.
  • Keywords
    image denoising; image restoration; image segmentation; speckle; ultrasonic imaging; image contour attenuation; image noise limitation; image pixel; segmentation algorithms; total variation minimization; ultrasound image speckle reduction; ultrasound images restoration; Biomedical imaging; Computer vision; Degradation; Equations; Image processing; Image restoration; Image segmentation; Pixel; Speckle; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530402
  • Filename
    1530402