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Filtration of Noise in Images Using Median Filter

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Artificial Intelligence and Evolutionary Computations in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 394))

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Abstract

Image processing is one of the major aspects of signal processing. Like any other signal, images can also be hampered by noise. Filters need to be designed and implemented, to remove these unwanted signals. There could be various types of noise affecting the images and, accordingly, different types of filters need to be designed. In this paper, median type of filter is designed for different kinds of noise. Also, a study of this filter is made to determine which type of noise they are suitable for. The mean square error determines whether the designed filter is suitable for the given image and the noise or not. The estimated image is the noise filtered out from the given image. Processing is done using the MATLAB software and the image has been processed by MATLAB codes.

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References

  1. Proakis JG, Manolakis DG. Digital signal processing, principles, algorithms and applications. Pearson Education; 2007.

    Google Scholar 

  2. Watanabe S. Cognition and pattern (in Japanese). Tokyo: Iwanami; 1978.

    Google Scholar 

  3. Bergson H. Evolution creatrice. Paris, France: Felix Alcan; 1907.

    Google Scholar 

  4. Wiener N. Cybernetics, 2nd ed. Cambridge, MA: MIT Press; 1962; The human use of human being, 2nd ed. Boston, MA: Houghton Mifflin; 1956.

    Google Scholar 

  5. Young IT, Gerbrands JJ, van Vliet LJ. Fundamentals of image processing. Digital image processing/digital image analysis. ISBN:90-75691-01-7, NUGI 841.

    Google Scholar 

  6. Hwang H, Haddad A. Adaptive median filters: new algorithms and results. IEEE Trans Image Process. 1995;4:499–502.

    Article  Google Scholar 

  7. Chan H, Chung-wa H, Mikolova M. Salt and pepper noise removal by median type noise detectors and detail preserving regularization. IEEE Trans Image Process. 2005;14:1479–85.

    Article  Google Scholar 

  8. Guo H, Xie K. An improved method of adaptive median filter. J Image Graph. 2007;12:1185–8.

    Google Scholar 

  9. Yuan SQ, Tan YH. The solutions of equation-based noise detector for an adaptive median filter. Pattern Recogn. 2006;39(11):2252–7.

    Article  MATH  Google Scholar 

  10. Eng HL, Ma KK. Noise adaptive soft-switching median filter for image denoising. IEEE Int Conf Acoust Speech Signal Process. 2000;4:2175–8.

    Google Scholar 

  11. Lin HM, Willson AM Jr. Median filters with adaptive length. IEEE Trans Circuits Syst. CAS-35. 1991;675–90.

    Google Scholar 

  12. Weeks AR Jr. Fundamentals of electronic image processing. eISBN:9780819480439, ISBN:13:9780819421494.

    Google Scholar 

  13. Smith SW. The scientist and engineer’s guide to digital signal processing.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of EEE, Jharkhand, 835215, India

    Vigya & Tirthadip Ghose

Authors
  1. Vigya
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  2. Tirthadip Ghose
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Corresponding author

Correspondence to Vigya .

Editor information

Editors and Affiliations

  1. Electrical and Electronics Engineer, SRM Engineering College, Kattankulathur, Tamil Nadu, India

    Subhransu Sekhar Dash

  2. Electrical & Electronics Engineering, Velammal Engineering College, Chennai, Tamil Nadu, India

    M. Arun Bhaskar

  3. Dept Electrical & Electronics Engg, IIT Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

  4. Indian Statistical Institute, Kolkata, India

    Swagatam Das

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Vigya, Ghose, T. (2016). Filtration of Noise in Images Using Median Filter. In: Dash, S., Bhaskar, M., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 394. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2656-7_82

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  • DOI: https://doi.org/10.1007/978-81-322-2656-7_82

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2654-3

  • Online ISBN: 978-81-322-2656-7

  • eBook Packages: EngineeringEngineering (R0)

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