Noise diminution in Fetal Ultrasound Pictures

International Journal of Pharmacy and Biomedical Engineering

© 2017 by SSRG - IJPBE Journal

Volume 4 Issue 2

Year of Publication : 2017

Authors : R.Michael and M.Ibrahim

10.14445/23942576/IJPBE-V4I2P102

How to Cite?

R.Michael and M.Ibrahim, "Noise diminution in Fetal Ultrasound Pictures," SSRG International Journal of Pharmacy and Biomedical Engineering, vol. 4,  no. 2, pp. 5-8, 2017. Crossref, https://doi.org/10.14445/23942576/IJPBE-V4I2P102

Abstract:

This study offers an inventive way to decrease the stain sound, which is linked with ultrasound imaging. This revolves around humanizing the input image and raise the human analytical presentation. It uses an Undecimated Wavelet Transform UWT to decay the image signal to the coefficients, to take the oblique coefficient and applied Independent Directional Mask after replacing the value of each pixel in this coefficient with the comparable pixel in the innovative image; this result yields after applying a middle filter in a container the value of the pixel is smaller than the entrance value which is pre-specified. We suitable the Directional filter and transmit the design of the new oblique coefficient, and then make the converse wavelet renovate to form the resulting image after dropping the sound of it. The method showed a clear enhancement of numerous ultrasound images via conventional arithmetical measurements and outperformed the other methods used in common to diminish the Noise.

Keywords:

Undecimated Wavelet Transform, Smoothing Directional Filter, Independent Directional Mask, Ultrasound Images, Noise

References:

[1] Florian luisier and Thierry blu, 2007- “image denoising by a pointwise thresholding of the undecimated wavelet coefficients: a sure global optimum”. Ecole poly technique f´ed erale de Lausanne (epfl), ch-1015.
[2] 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.
[3] Lakhwinder Kaur, 2005- “Image Denoising using Wavelet Thresholding”. Dept. of CSE. SLIET, Longowal SLIET, Longowal Punjab.
[4] 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.
[5] 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.
[6] Tanay Mondal, 2014- “Denoising and Compression of Medical Images in Wavelet 2D”. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 2 Issue: 2.
[7] 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.
[8] J.N. Ellinas, 2011- “THE STATISTICAL MODELING OF WAVELET COEFFICIENTS AS A TOOL FOR IMAGE DENOISING”. T.E.I of Piraeus, 250 P. Ralli & Thivon, 122 44 Egaleo, Greece.
[9] Kanwaljeet Kaur, 2012- “RESEARCH ON SPATIAL FILTERS AND HOMOMORPHIC FILTERING METHODS”. Journal of Global Research in Computer Science, Volume 3, No. 11.
[10] Radek BENES, 2012 – “MEDICAL IMAGE DENOISING BY IMPROVED KUAN FILTER”. Department of Telecommunications, Faculty of Electrical Engineering and Communication, VOLUME: 10, NUMBER: 1.
[11] 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.
[12] 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.
[13] Gu Hailan, 2012- “A Modified Homomorphic Filter for Image Enhancement”. International Conference on Computer Application and System Modeling.
[14] 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.
[15] 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.
[16] Faouzi Benzarti, 2012- “Speckle Noise Reduction in Medical Ultrasound Images”. Signal, Image, and Pattern Recognition Laboratory (TSIRF) ENIT.
[17] 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.
[18] Navjot Kaur, 2013- “An Approach for Speckle Noise Reduction from U.S. Images using Enhanced Sticks Filtering”. International Journal of Computer Science and Communication Engineering Volume 2, Issue 1, ISSN: 2319-7080.
[19] 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.
[20] 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.
[21] 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.