Speckle Noise Suppression in Ultrasound Images by Using an Improved Non-local Mean Filter

  • Aditi Gupta
  • Vikrant BhatejaEmail author
  • Avantika Srivastava
  • Ananya Gupta
  • Suresh Chandra Satapathy
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 898)


In medical field, ultrasound imaging technique is a major medium for the doctors and radiologists to diagnose the patient’s problem. The presence of speckle noise degrades the visuals of the ultrasound image and making it difficult for the doctors to diagnose properly. Hence, denoising and restoration of these images came up as a challenge to enhance the quality of the image. In this paper, an improved non-local mean filter is proposed for suppression of speckle noise in ultrasound image. This improved filter is the combination of two conventional filters, i.e., non-local mean filter and bilateral filter. The newly modified method which is emerged by combining the functions of both the conventional filters results in the improvement of quality of image. The three image quality assessment parameters are being used to analyze the performance of improved non-local mean filter, i.e., peak signal-to-noise-ratio (PSNR) and structural similarity (SSIM).


Speckle suppression Non-local mean filter Bilateral filter Improved non-local mean filter PSNR SSIM 


  1. 1.
    Bhateja, V., Tripathi, A., Gupta, A., Lay-Ekuakille, A.: Speckle suppression in SAR images employing modified anisotropic diffusion filtering in wavelet domain for environment monitoring. Measurement 74, 246–254 (2015)CrossRefGoogle Scholar
  2. 2.
    Bhateja, V., Singh, G., Srivastava, A., Singh, J.: Speckle reduction in ultrasound images using an improved conductance function based on anisotropic diffusion. In: Proceedings of International Conference of Computing for Sustainable Global Development (INDIACom), pp. 619–624. IEEE, March 2014Google Scholar
  3. 3.
    Bhateja, V., Tiwari, H., Srivastava, A.: A non local means filtering algorithm for restoration of Rician distributed MRI. In: Emerging ICT for Bridging the Future-Proceeding of the 49th Annual Convention of the Computer Society of India CSI, Vol. 2, pp. 1—8, Cham, Springer (2015)Google Scholar
  4. 4.
    Zhang, P., Li, F.: A new adaptive weighted mean filter for removing salt and pepper noise. IEEE J. Sig. Process. Lett. 21(10), 1280–1283 (2014) (IEEE)CrossRefGoogle Scholar
  5. 5.
    Loupas, T., McDicken, N.W., Allan, L.P.: An adaptive weighted median filter for speckle suppression in medical ultrasound images. IEEE Trans. Circuits Syst. 36 (1), 129–135 (1989) (IEEE)CrossRefGoogle Scholar
  6. 6.
    Lee, S.J.: Digital image enhancement and noise filtering by use of local statistics. IEEE Trans Pattern Anal. Mach. Intell. 2(2), 165–168 (1980) (IEEE)CrossRefGoogle Scholar
  7. 7.
    Loizou, P.C., Pattichis, S.C., Christodoulou, I.C., Istepanian, S.R., Pantziaris, M., Nicolaides, A.: Comparitive evaluation of despeckle filtering in ultrasound imaging of the cartoid artery. IEEE Trans. Ultrason. Ferroelectr. Freq. 52(10), 1653–1669 (2005) (IEEE)CrossRefGoogle Scholar
  8. 8.
    Singh, S., Jain, A., Bhateja, V.: A comparative evaluation of various de-speckling algorithms for medical images. In: Proceedings of the CUBE International Information Technology Conference, pp. 32–37. ACM (2012)Google Scholar
  9. 9.
    Sivakumar, J., Thangavel, K., Saravanan, P.: Computed radiography skull image, enhancement using Wiener filter. In: Proceedings of International Conference on Pattern Recognition, Informatics and Medical Engineering, Henan, China, pp. 307–311. IEEE, March 2012Google Scholar
  10. 10.
    Tripathi, A., Bhateja, V., Sharma, A.: Kuan modified anisotropic diffusion approach for speckle filtering. In: Proceedings of the First International Conference on Intelligent Computing and Communication, pp. 537–545. Springer, Singapore (2017)Google Scholar
  11. 11.
    Baudes, A., Coll, B., More, M.J.: A non-local algorithm for image denoising. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 60–65, June 2005Google Scholar
  12. 12.
    Tomasi, C., Manduchi, R.: Bilateral filter for gray and color images. In: Proceedings of IEEE International Conference on Computer Vision, pp. 1–8. IEEE, Bombay, India, July 1988Google Scholar
  13. 13.
    Bhateja, V., Sharma, A., Tripathi, A., Satapathy, S.C., Le, D.N.: An optimized anisotropic diffusion approach for despeckling of SAR images. In: Digital Connectivity Social Impact, pp. 134–140. Springer, Singapore (2016)CrossRefGoogle Scholar
  14. 14.
    Baudes, A., Coll, B., Morel, J.: Neighborhood filters and pde’s. In: Technical report (2005-04)Google Scholar
  15. 15.
    Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 12(7), 629–639 (1990)CrossRefGoogle Scholar
  16. 16.
    Bai, J., Feng, X.: Fractional-order anisotropic diffusion for image denoising. IEEE Trans. Image Process. 16(9) (2007)MathSciNetCrossRefGoogle Scholar
  17. 17.
    Srivastava, A., Bhateja, V., Gupta, A., Gupta, A.: Non local mean filter for suppression of speckle noise in ultrasound images. In: Proceedings of 2nd International Conference on Smart Computing & Informatics (SCI-2018), pp. 1–7, Vijayawada, India, January 2018Google Scholar
  18. 18.
    Gupta, A., Bhateja, V., Srivastava, A., Gupta, A., Satapathy, C.S.: Suppression of speckle noise in ultrasound images using bilateral filter. In: Proceedings of International Conference on Informatics & Communication Technology for Intelligent System (ICTIS), pp. 1–7, Ahemdabad, India, April 2018Google Scholar
  19. 19.
    Bhateja, V., Mishra, M., Urooj, S., Lay-Ekuakille, A.: Bilateral despekling filter in homogeneity domain for breast ultrasound images. In: Proceedings of International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1027–1032. IEEE, September 2014Google Scholar
  20. 20.

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Aditi Gupta
    • 1
  • Vikrant Bhateja
    • 1
    Email author
  • Avantika Srivastava
    • 1
  • Ananya Gupta
    • 1
  • Suresh Chandra Satapathy
    • 2
  1. 1.Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC)LucknowIndia
  2. 2.School of Computer EngineeringKIIT (Deemed to be University)BhubaneswarIndia

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