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A Robust Multi-video Spatio-Temporal Superresolution Reconstruction Algorithm

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1342))

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Abstract

In the process of video acquisition, there are many possibilities of video quality degradation, and the spatial resolution of video is reduced, and the time of camera exposure and frame rate are limited. One of the methods that can effectively improve video time resolution and spatial resolution is video resolution reconstruction. On this basis, this paper analyzes the practical difficulties of video space-time application, puts forward the future development direction, and looks forward to the development of video super-resolution reconstruction.

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References

  1. Wu, L., Lu, G.Q., Xue, Z.T., Sheng, J.C., Feng, Q.B.: Image super-resolution reconstruction based on multi-scale recurrent network. J. Opt. (2019)

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  2. Liao, X.X.: A study on the algorithm of super-resolution image reconstruction based on learning. South China University of Technology (2013)

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  3. Su, H., Zhou, J., Zhang, Z.H.: A review of the methods of super-resolution image reconstruction. Autochem. (2013)

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Authors and Affiliations

  1. Science and Technology College of Gannan Normal University, Ganzhou, 341000, Jiangxi, China

    Guanghua Huang & Qiang Wu

Authors
  1. Guanghua Huang
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  2. Qiang Wu
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Corresponding author

Correspondence to Qiang Wu .

Editor information

Editors and Affiliations

  1. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  2. Department Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

  4. Assistant Professor in Practice, University of Texas at San Antonio, Boerne, TX, USA

    Xiaolu Zhang

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Huang, G., Wu, Q. (2021). A Robust Multi-video Spatio-Temporal Superresolution Reconstruction Algorithm. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_128

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