• DocumentCode
    3725332
  • Title

    Evaluation of performance of various filters in despeckling of medical ultrasound images

  • Author

    Nidhi Gupta;A.P Shukla;Suneeta Agarwal

  • Author_Institution
    Department of Computer Science and Engineering, Krishna Institute of Engineering and Technology, Ghaziabad, India
  • fYear
    2015
  • Firstpage
    879
  • Lastpage
    884
  • Abstract
    In the ultrasound medical images, intrinsic nature of speckle noise, leads to degrades the resolution and contrast of the image. Thus, speckle noise reduction is essential and preprocessing step of ultrasound images. Analysts survey manifold reduction methods of speckle noise, yet there is no exact method that takes all the limitations into account. In this review paper, we compare ten filters that are Lee, Frost, Median, SRAD, PMAD, SRBF, Bilateral, Adaptive Bilateral and Multiresolution. A review study with mentioned filters in terms of measuring performance is done PSNR parameter. The conclusion is illustrated by filtered images and data tables.
  • Keywords
    "Maximum likelihood detection","Nonlinear filters","Speckle","Wiener filters","Ultrasonic imaging","Biomedical imaging"
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Computing Technologies (NGCT), 2015 1st International Conference on
  • Type

    conf

  • DOI
    10.1109/NGCT.2015.7375245
  • Filename
    7375245