Design of Low Power Efficient Median Filter for Noise Reduction in Image

  • M. VinothiniEmail author
  • B. Syed Ibrahim
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 394)


In this paper, designing of the median filter is done with help of the comparator and multiplexer. In image processing, as median filter is an important factor to reduce salt and pepper noise, it is essential to develop a new design technique to reduce the power consumption. So the comparator and multiplexer design used in the median filter is designed using various styles of the full adder with help of DSCH and Microwind tool.


Multiplexer Full adder (FA) Comparator Power 


  1. 1.
    Lu C-T, Chou T-C. Denoising of salt and pepper noise corrupted image using modified directional-weighted-median filter. Taiwan, ROC; 2011.Google Scholar
  2. 2.
    Meher SK. Recursive and noise-exclusive fuzzy switching median filter for impulse noise reduction. Bangalore; 2013.Google Scholar
  3. 3.
    Horng S-J, Hsu L-Y, Li T, Khan MK. Using sorted switching median filter to remove high-density impulse noises. Chengdu; 2012.Google Scholar
  4. 4.
    Toh KKV, Isa NAM. Cluster based adaptive fuzzy based salt and pepper noise removal using adaptive switching median filter. Proc Eng. 2010;38:2858–65.Google Scholar
  5. 5.
    Bai T, Tan J, Hu M, Wang Y. A novel algorithm for removal of salt and pepper noise using continued fractions interpolation. Hefei; 2013.Google Scholar
  6. 6.
    Toprak A, Guler I. Impulse noise reduction in medical images with use of switch mode fuzzy adaptive median filter. Turkey; 2007. p. 711–723.Google Scholar
  7. 7.
    Zhang J. An efficient median filter based method for removing random valued impulse noise. Shanghai; 2009.Google Scholar
  8. 8.
    Luo W. An efficient detail-preserving approach for removing impulse noise in images. IEEE Signals Process Lett. 2006;13:413–6.CrossRefGoogle Scholar
  9. 9.
    Luo W. An efficient algorithm for the removal of impulse noise from corrupted images. USA; 2006. p. 78228–8534.Google Scholar
  10. 10.
    Pattnaik A, Agarwal S, Chand S. A new and efficient method for removal of high density salt and pepper noise through cascade decision based filtering algorithm’ Rourkela, India. Procedia Technol. 2012. 6:108–117.Google Scholar

Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.ECE DepartmentChettinad College of EngineeringKarurIndia

Personalised recommendations