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Hybrid Min-Median-Max Filter for Removal of Impulse Noise from Color Images

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Advanced Informatics for Computing Research (ICAICR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 955))

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Abstract

In this paper, an improved median based hybrid Min-Median-Max filter (M3F) has been proposed, to restore original image that is corrupted by impulse noise. The identification of the contaminated pixels is performed by local extrema intensity, i.e. using Min-Max noise detector. If any pixel is found corrupted, it will be changed by the resultant value of M3F algorithm, and uncorrupted pixels remain unchanged. Different color images have been considered to test the proposed method and better results have been found in terms of quantitative measures and visual perception. The presented algorithm can effectively reconstruct noise-free image from image which is corrupted with 70% noise level and also maintains the edges. Even up to 90% noisy image can be identified using proposed method. Experimental observations indicates that the proposed method removes high density impulse noise efficiently at high noise level and also keeps the originality of pixel’s value.

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Authors and Affiliations

  1. Dr. B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Prity Kumari, Deepti Kakkar & Neetu Sood

Authors
  1. Prity Kumari
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  2. Deepti Kakkar
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  3. Neetu Sood
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Corresponding author

Correspondence to Prity Kumari .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharshi Dayanand University, Rohtak, Haryana, India

    Ashish Kumar Luhach

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  3. National Chung Cheng University, Minxiong Township, Chiayi County, Taiwan

    Pao-Ann Hsiung

  4. Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kamarul Bin Ghazali Hawari

  5. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

  6. Department of Computer Science and Engineering, Jaypee University of Information Technology, Kandaghat, India

    Pradeep Kumar Singh

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Kumari, P., Kakkar, D., Sood, N. (2019). Hybrid Min-Median-Max Filter for Removal of Impulse Noise from Color Images. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 955. Springer, Singapore. https://doi.org/10.1007/978-981-13-3140-4_46

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  • DOI: https://doi.org/10.1007/978-981-13-3140-4_46

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3139-8

  • Online ISBN: 978-981-13-3140-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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