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Super-Resolution Reconstruction of Electric Power Inspection Images Based on Very Deep Network Super Resolution

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Artificial Intelligence and Security (ICAIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12239))

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Abstract

Aiming at the problem of getting low resolution image and blurred image during unmanned aerial vehicle (UAV) inspection, a super-resolution reconstruction algorithm based on very deep network super resolution (VDSR) is proposed. The algorithm model is composed of deep convolution neural network and residual structure, which is improved on the basis of super resolution convolutional neural network (SRCNN). By deepening the network to 20 layers, the receptive field can be expanded, and the residual structure can be combined to obtain better reconstruction effect. The experimental results show that the proposed super-resolution method based on VDSR has richer texture and more realistic visual effect, with 2.95 dB and 0.037 improvement in PSNR and SSIM compared with the super-resolution methods based on Bicubic Interpolation, Sparse Coding and SRCNN. The proposed algorithm further promotes the theoretical research of inspection image super-resolution, and can be effectively applied to the practical application of power inspection.

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Acknowledgements

National Natural Science Foundation of China (Grant No. 11905028).

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Authors and Affiliations

  1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin City, 132012, Jilin, China

    Bowen Shi, Jilong Gao, Tie Zhong & Haipeng Chen

  2. College of Electrical Engineering, Northeast Electric Power University, Jilin City, 132012, Jilin, China

    Zhentao He

  3. School of Physics, Northeast Normal University, Changchun, 130024, China

    Tian Zhang

Authors
  1. Bowen Shi
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  2. Jilong Gao
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  3. Zhentao He
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  4. Tian Zhang
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  5. Tie Zhong
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  6. Haipeng Chen
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Corresponding author

Correspondence to Haipeng Chen .

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Editors and Affiliations

  1. Nan**g University of Information Science, Nan**g, China

    **ngming Sun

  2. Nan**g University of Information Science, Nan**g, China

    **wei Wang

  3. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Shi, B., Gao, J., He, Z., Zhang, T., Zhong, T., Chen, H. (2020). Super-Resolution Reconstruction of Electric Power Inspection Images Based on Very Deep Network Super Resolution. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12239. Springer, Cham. https://doi.org/10.1007/978-3-030-57884-8_64

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  • DOI: https://doi.org/10.1007/978-3-030-57884-8_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57883-1

  • Online ISBN: 978-3-030-57884-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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