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 |
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Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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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. |
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ISSN: | 2074-9074 2074-9082 |
DOI: | 10.5815/ijigsp.2013.02.01 |