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An Improved Image Inpainting Technique Using Fuzzy Hard C-Means Algorithm

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Advances in Communication Systems and Networks

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 656))

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Abstract

A novel algorithm which can repair video sequence deprived of any artefacts that are present in numerous such prevailing technique is proposed in this paper. Specifically, a video inpainting is proposed that detects moving object in a background where water is falling from a fountain. The input video is converted to frames. Using the Canny edge detection, the edges of the objects in the frames are found out. These edges are classified into different clusters using fuzzy hard C-means algorithm so that inpainting can be done effectively. The classified edges are patch-matched with the most similar pixels. The resultant inpainted video when viewed gives a very good result with minimum time frame.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, John Cox Memorial CSI Institute of Technology, Thiruvananthapuram, Kerala, India

    R. F. Liji

  2. Department of Electrical and Electronics Engineering, College of Engineering, Thiruvananthapuram, Kerala, India

    P. Sreejaya

  3. Department of Electronics and Communication Engineering, Marian Engineering College, Thiruvananthapuram, Kerala, India

    M. Sasikumar

  4. Department of Mechanical Engineering, John Cox Memorial CSI Institute of Technology, Thiruvananthapuram, Kerala, India

    Kim J. Seelan

Authors
  1. R. F. Liji
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  2. P. Sreejaya
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  3. M. Sasikumar
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  4. Kim J. Seelan
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Corresponding author

Correspondence to R. F. Liji .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Mar Baselios College of Engineering and Technology, Thiruvananthapuram, Kerala, India

    J. Jayakumari

  2. Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

    George K. Karagiannidis

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Maode Ma

  4. Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh

    Syed Akhter Hossain

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Cite this paper

Liji, R.F., Sreejaya, P., Sasikumar, M., Seelan, K.J. (2020). An Improved Image Inpainting Technique Using Fuzzy Hard C-Means Algorithm. In: Jayakumari, J., Karagiannidis, G., Ma, M., Hossain, S. (eds) Advances in Communication Systems and Networks . Lecture Notes in Electrical Engineering, vol 656. Springer, Singapore. https://doi.org/10.1007/978-981-15-3992-3_21

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  • DOI: https://doi.org/10.1007/978-981-15-3992-3_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3991-6

  • Online ISBN: 978-981-15-3992-3

  • eBook Packages: EngineeringEngineering (R0)

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