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

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 spe...

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Veröffentlicht in:International journal of image, graphics and signal processing graphics and signal processing, 2013-02, Vol.5 (2), p.1-8
Hauptverfasser: Mahmoud, Amira A., Rabaie, S. EL, Taha, T. E., Zahran, O., El-Samie, F. E. Abd, Al-Nauimy, W.
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:2074-9074
2074-9082
DOI:10.5815/ijigsp.2013.02.01