• DocumentCode
    1568609
  • Title

    Despeckling Utilizing μ-Estimators

  • Author

    Aysal, T.C. ; Barner, K.E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
  • fYear
    2006
  • Firstpage
    1445
  • Lastpage
    1448
  • Abstract
    In this paper, we propose a novel speckle filtering algorithm based on the maximum likelihood estimate of speckle statistics. The homomorphism approach is utilized to modify the multiplicative noise problem to an additive one. The statistics of the altered noise are derived. The problem is then converted to the statistical M-estimation. Properties of the proposed filtering structure are investigated. Finally, simulations indicating the advantages of the proposed filtering are presented.
  • Keywords
    biomedical ultrasonics; filtering theory; maximum likelihood estimation; medical image processing; speckle; statistical analysis; additive noise; homomorphism approach; maximum likelihood estimation; multiplicative noise problem; speckle filtering algorithm; statistical M-estimation; Adaptive filters; Additive noise; Computational modeling; Electronic mail; Filtering algorithms; Maximum likelihood estimation; Medical simulation; Speckle; Statistics; Ultrasonic imaging; Rayleigh model; despeckling; multiplicative noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.312702
  • Filename
    4106812
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1568609