Comparative Study of Different Denoising Filters for Speckle Noise Reduction in Ultrasonic B-Mode Images | Zendy

Amira A. Mahmoud | Zendy; ElSayed M. ElRabaie | Zendy; Tarek Taha | Zendy; O. Zahran | Zendy; F. E. Abd El-Samie | Zendy; W. Al-Nauimy | Zendy

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Comparative Study of Different Denoising Filters for Speckle Noise Reduction in Ultrasonic B-Mode Images

Author(s) -

Amira A. Mahmoud,

ElSayed M. ElRabaie,

Tarek Taha,

O. Zahran,

F. E. Abd El-Samie,

W. Al-Nauimy

Publication year - 2013

Publication title -

international journal of image graphics and signal processing

Language(s) - English

Resource type - Journals

eISSN - 2074-9082

pISSN - 2074-9074

DOI - 10.5815/ijigsp.2013.02.01

Subject(s) - noise reduction , speckle noise , ultrasonic sensor , reduction (mathematics) , noise (video) , speckle pattern , acoustics , materials science , artificial intelligence , mathematics , computer science , physics , image (mathematics) , geometry

Image denoising involves processing of the image data to produce a visually high quality image. The denoising algorithms may be classified into two categories, spatial filtering algorithms and transform domain based algorithms. In this paper a comparative study of different denoising filters for speckle noise reduction in ultrasonic b-mode images based on calculating the Peak Signal to Noise Ratio (PSNR) value as a metric is presented. The quantitative results of comparison are tabulated by calculating the PSNR of the output image. Index Terms ـــ Image enhancement, Ultrasonic scan, Speckle noise, Denoising filters

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