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Proceedings of 2nd International Conference on Computer Vision & Image Processing pp 117–128Cite as

Edge-Aware Spatial Filtering-Based Motion Magnification

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 704))

Abstract

In this paper, we present a novel approach toward motion magnification using edge-aware filtering. Edge-aware filters have been used for applications such as image denoising, enhancement, and tone mapping. In this work, we have used fast local Laplacian filter followed by Eulerian motion magnification for enhancement of subtle changes in the video. The proposed method aims to reduce the noise and artifacts in the output video apart from motion magnification. Experiments are conducted on sample videos having minute changes which are imperceptible to see with the human eyes. A no-reference video quality assessment has been employed using a video quality score in order to quantify the motion magnification results.

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Acknowledgements

The authors would like to thank SERB-DST for support through Young Scientists Startup Research Grant.

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Authors and Affiliations

  1. Electrical Engineering, Indian Institute of Technology Gandhinagar, Gandhinagar, 382355, Gujarat, India

    Manisha Verma & Shanmuganathan Raman

Authors
  1. Manisha Verma
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  2. Shanmuganathan Raman
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Corresponding author

Correspondence to Manisha Verma .

Editor information

Editors and Affiliations

  1. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

    Bidyut B. Chaudhuri

  2. School of Computing, National University of Singapore, Singapore, Singapore

    Mohan S. Kankanhalli

  3. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Balasubramanian Raman

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Verma, M., Raman, S. (2018). Edge-Aware Spatial Filtering-Based Motion Magnification. In: Chaudhuri, B., Kankanhalli, M., Raman, B. (eds) Proceedings of 2nd International Conference on Computer Vision & Image Processing . Advances in Intelligent Systems and Computing, vol 704. Springer, Singapore. https://doi.org/10.1007/978-981-10-7898-9_10

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  • DOI: https://doi.org/10.1007/978-981-10-7898-9_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7897-2

  • Online ISBN: 978-981-10-7898-9

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