Speckle Noise Reduction in Fetal Ultrasound Images
International Journal of Biomedical Engineering and Clinical Science
Volume 1, Issue 1, September 2015, Pages: 10-14
Received: Jul. 26, 2015; Accepted: Aug. 18, 2015; Published: Aug. 29, 2015
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Authors
Zaid Kraitem, PhD Student in Department of Computer Engineering, Faculty of Electronic and Electrical Engineering, Tishreen University, Latakia, Syria
Mariam Saii, Department of Computer Engineering, Faculty of Electronic and Electrical Engineering, Tishreen University, Latakia, Syria
Issa Ibraheem, Department of Medical Engineering, Faculty of Medical Engineering, Damascus University, Damascus, Syria
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Abstract
This research offers an innovative way to reduce the speckle noise which associated with the ultrasound imaging. This in turn leads to improving the input image and raise the human diagnostic performance. It uses an Undecimated Wavelet Transform UWT to decompose the image signal to the coefficients, to take the diagonal coefficient and applied Independent Directional Mask after replacing the value of each pixel in this coefficient with the corresponding pixel in the original image, this result yields after applying median filter in case the value of the pixel is smaller than the threshold value which is pre-specified. Then we apply the Smoothing Directional filter and re-directed the formation of the new diagonal coefficient, and then make the inverse undecimated wavelet transform IUWT to form the resulting image after reducing the noise of it (De-speckled Image). The used method showed a clear improvement on several ultrasound images via traditional statistical measurements (PSNR and MSE) and outperformed the other methods which used in common to reduce the speckle noise.
Keywords
Undecimated Wavelet Transform, Smoothing Directional Filter, Independent Directional Mask, Ultrasound Images, Speckle Noise
To cite this article
Zaid Kraitem, Mariam Saii, Issa Ibraheem, Speckle Noise Reduction in Fetal Ultrasound Images, International Journal of Biomedical Engineering and Clinical Science. Vol. 1, No. 1, 2015, pp. 10-14. doi: 10.11648/j.ijbecs.20150101.12
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