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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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
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.
Speckle Noise Reduction in Fetal Ultrasound Images, International Journal of Biomedical Engineering and Clinical Science.
Vol. 1, No. 1,
2015, pp. 10-14.
Florian Luisier and Thierry Blu, 2007- IMAGE DENOISING BY POINTWISE THRESHOLDING OF THE UNDECIMATED WAVELET COEFFICIENTS: A GLOBAL SURE OPTIMUM. Ecole Poly technique F´ed erale de Lausanne (EPFL), CH-1015.
Wenli Liu, Peng He, Hui Li, Hongbo Yu, 2012 - Improvement on the Algorithm of Homomorphic Filtering. Communication and Electronic Engineering Institute, Qiqihar University, Vol.11.
Lakhwinder Kaur, 2005- Image Denoising using Wavelet Thresholding. Dept. of CSE. SLIET, Longowal SLIET, Longowal Punjab.
M. N. Nobi, 2011- A New Method to Remove Noise in Magnetic Resonance and Ultrasound Images. Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, J. Sci. Res. 3 (1), 81-89.
Kanwaljot Singh Sidhu, 2012- Medical Image Denoising In The Wavelet Domain Using Haar And DB3 Filtering. International Refereed Journal of Engineering and Science (IRJES) ISSN (Online) 2319-183X, (Print) 2319-1821 Volume 1, Issue 1.
Tanay Mondal, 2014- Denoising and Compression of Medical Image in Wavelet 2D. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 2 Issue: 2.
Akhilesh Bijalwan, 2012-Wavelet Transform Based Image Denoise Using Threshold Approaches. International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-1, Issue-5.
J.N. Ellinas, 2011- THE STATISTICAL MODELING OF WAVELET COEFFICIENTS AS A TOOL FOR IMAGE DE-NOISING. T.E.I of Piraeus, 250 P. Ralli & Thivon, 122 44 Egaleo, Greece.
Kanwaljeet Kaur, 2012- RESEARCH ON SPATIAL FILTERS AND HOMOMORPHIC FILTERING METHODS. Journal of Global Research in Computer Science, Volume 3, No. 11.
Radek BENES, 2012 - MEDICAL IMAGE DENOISING BY IMPROVED KUAN FILTER. Department of Telecommunications, Faculty of Electrical Engineering and Communication, VOLUME: 10, NUMBER: 1.
Anita Garg, 2011- De-speckling of Medical Ultrasound Images using Wiener Filter and Wavelet Transform. International Journal of Electronics & Communication Technology, ISSN : 2230-7109(Online) | ISSN : 2230-9543, IJECT Vol. 2, Issue 3.
Mathur U, 2011- REMOVAL OF SPECKLE NOISE FROM EYE IMAGES THROUGH BACTERIAL FORAGING OPTIMISATION. International Journal of Advanced Engineering Technology, IJAET, Vol.2, Issue I, 112-119
Gu Hailan, 2012- A Modified Homomorphic Filter for Image Enhancement. International Conference on Computer Application and System Modeling.
MARIANA CARMEN NICOLAE, 2010- COMPARATIVE APPROACH FOR SPECKLE REDUCTION IN MEDICAL ULTRASOUND IMAGES, National Conference of Biophysics, Cluj-Napoca, October, Vol. 20, No. 1, P. 13–21.
Richa Gupta, 2014 - Noise Reduction: A Comparative Study of Different Filters. International Journal of Current Engineering and Technology, E-ISSN 2277 – 4106, P-ISSN 2347 - 5161.
Faouzi Benzarti, 2012- Speckle Noise Reduction in Medical Ultrasound Images. Signal, Image and Pattern Recognition Laboratory (TSIRF) ENIT.
R. Sivakumar, 2010- Comparative study of Speckle Noise Reduction of Ultrasound B-scan Images in Matrix Laboratory Environment. International Journal of Computer Applications (0975 – 8887)Volume 10– No.9.
Navjot Kaur, 2013- An Approach for Speckle Noise Reduction from US Images using Enhanced Sticks Filtering. International Journal of Computer Science and Communication Engineering Volume 2 Issue 1, ISSN: 2319-7080.
Md. Robiul Hoque, 2011- A New Approach in Spatial Filtering to Reduce Speckle Noise. International Journal of Soft Computing and Engineering (IJSCE), ISSN: 2231-2307, Volume-1, Issue-3.
S.Sudha, 2009- Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding based on Weighted Variance. International Journal of Computer Theory and Engineering, Vol. 1, No. 1, 1793-8201.
Syed Musharaf, 2007- Wavelet-Based Despeckling of Synthetic Aperture Radar Images Using Adaptive and Mean Filters. WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY VOLUME 25 NOVEMBER 2007 ISSN 1307-6884.
Numan Unaldi, Samil Temel, and Süleyman Demirci, 2013- Undecimated Wavelet Transform Based Contrast Enhancement. Engineering and Technology International Journal of Computer, Information, Systems and Control Engineering Vol:7 No:9.