• DocumentCode
    627203
  • Title

    Speckle noise reduction of ultrasound images using Extra-Energy Reduction function

  • Author

    Rahman, Md Mamunur ; Mithun Kumar, P.K. ; Borucki, B. ; Nowinski, K.S. ; Uddin, Mohammad Shorif

  • Author_Institution
    Interdiscipl. Centre for Math. & Comput. Modelling, Univ. of Warsaw, Warsaw, Poland
  • fYear
    2013
  • fDate
    17-18 May 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A new effective method for speckle noise reduction in ultrasound imaging is introduced in this paper. The proposed method is based on Extra-Energy Reduction (EER) function in the vector field, which is addressed by vector triangular formula. It is reasonable to decide that the calculated the energy of a pixel by vector triangular formula is less than the usual absolute distance energy of the same pixel then the pixel must be noisy. The noisy pixel with higher energy is moved to equilibrium situation by subtracting the extra energy for any type of functional operation (e.g. image segmentation, pattern recognition, objects classification). The implemented method reduces extra-energy from an image and provides a proper gray level distribution into the entire image. The technique demonstrates very impressive noise suppression without loss of important information compared to some existing state-of-the-art speckle denoising methods.
  • Keywords
    image denoising; medical image processing; speckle; EER function; extra-energy reduction function; gray level distribution; noise suppression; noisy pixel; speckle denoising method; speckle noise reduction; ultrasound imaging; vector field; vector triangular formula; Image edge detection; Noise; Noise measurement; Noise reduction; Speckle; Ultrasonic imaging; Vectors; Energy flow; Extra-energy; Speckle noise; Ultrasound image; Vector field;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2013 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4799-0397-9
  • Type

    conf

  • DOI
    10.1109/ICIEV.2013.6572554
  • Filename
    6572554