Cluster Computing

, Volume 22, Supplement 2, pp 3835–3840 | Cite as

A hybird filtering approach for mri image with multiresolution

  • K. MuruganEmail author
  • V. P. Arunachalam
  • S. Karthik


In a modern medical technology Magnetic Resonance Imaging (MRI) is widely used to capture the structures of organs inside the body. It uses magnetic field and pulses of radio wave energy to capture the images. The images captured using MRI systems are often corrupted by various kinds noises like Gaussian, Salt & pepper, Speckle…etc. while transferring through communication network. Obtaining the clear image from corrupted images and improve the performance of the computing system is an important goal of image processing. A Hybrid filtering approach is proposed to remove the Salt & Pepper noise in the MRI images with Multiresolution. It consist of Dual Threshold median filter and verge distance filter. The classification of pixels into noisy or nose free plays a vital role in denoising. The Proposed Multi-resolution Hybrid filter out performs the existing methods while improving the resolution of the reconstructed image.


MRI Dual threshold Verge distance Multi-resolution Computing system 


  1. 1.
    Brownrigg, R.K.: The weighted median filter. Commun. ACM 27(8), 807–818 (1984)Google Scholar
  2. 2.
    Chen, T., Wu, H.: Adaptive impule detection using centre weighted median filters. Signal Process. Lett. 8(1), 1–3 (2001)Google Scholar
  3. 3.
    Esakkirajan, S., Veerakumar, T., Subramaniyam, A.N., Premchand, C.H.: Removal of high density salt and pepper noise through modified decision based un-symmetric trimmed median filter. IEEE Signal Process. Lett. 18(5), 287–290 (2011)Google Scholar
  4. 4.
    Gupta, V., et al.: Random Valued impulse noise removal using adaptive dual threshold median filter. J. vis. Commun. 26, 296–304 (2014)Google Scholar
  5. 5.
    Lien, C.Y.: Chen, P.Y: An efficient edge preserving algorithm for removal of salt and pepper noise. IEEE signal process. Lett. 15, 833–836 (2008)Google Scholar
  6. 6.
    Rajesh, R., Malathi P.: An Effective Denoising and Enhancement Technique for Removal of Random Impulse Noise in Images. In: Proceedings of International Conference on Advances in Electrnoics, Communication and Computer Technology, (2016)Google Scholar
  7. 7.
    Sharama, A., Chaurasia, V.: Removal of high density saltand pepper noise by recursive enhanced median filtering. In: Proceedings of 2nd International Conference on Emerging Trends in Electronics, Communication and Networking, IEEE, pp 1–4 (2014)Google Scholar
  8. 8.
    Veerakumar, T., Esakkirajan, S., Vennila, I.: Salt and pepper noise removal in video using adaptive decision based median filter, In: Proceedings of International Conference on Multimedia, Signal Processing and Communication Technologies, (2011)Google Scholar
  9. 9.
    Vishaga, S., Das, S.L.: A survey on switching median filters for impulse noise removal. In: International Conference on Circuit, Power and Computing Technologiies (ICCPCT), pp1–6 (2015)Google Scholar
  10. 10.
    Li, Y., Su, G.: Design of high speed median filter based on neighborhood processor”, software engineering and service science (ICSESS), In: Proceedings of 6th IEEE International Conference, pp.648–651 (2015)Google Scholar
  11. 11.
    Zheng-yang, G., Le, Z.: Improved adaptive medin filter. In: Proceedings of 10th International Conference on Comptational Intelligence and Security, IEEE, pp 44–46 (2014)Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of ECETamilnadu College of EngineeringCoimbatoreIndia
  2. 2.SNS College of TechnologyCoimbatoreIndia
  3. 3.Department of CSESNS college of TechnologyCoimbatoreIndia

Personalised recommendations