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Image Watermark Removal Method of Classroom Teaching Recording and Broadcasting System Based on Deep Learning

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e-Learning, e-Education, and Online Training (eLEOT 2022)

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Abstract

In order to improve the image watermark efficiency of the classroom teaching recording and broadcasting system, a method for removing the image watermark of the classroom teaching recording and broadcasting system was designed based on deep learning. For image denoising and correction processing, use the color palette to adjust the processing color to obtain the image correction effect; use the median value of all pixels around the neighborhood pixels to replace the pixel value of the current pixel point to perform image filtering processing; then the classroom teaching recording and broadcasting system Image detail similarity calculation, according to the calculation results to characterize the details of the image spatial structure information, and realize the image watermark removal of the classroom teaching recording and broadcasting system through deep learning. The research shows that the method designed this time can improve the accuracy of watermark removal and reduce the removal time.

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Funding

1. Natural Science Foundation of Fuyang Normal University (No.2020FSKJ12).

2. Key Fund Projects of Young Talents in Fuyang Normal University (No.rcxm202106).

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Authors and Affiliations

  1. School of Computer and Information Engineering, Fuyang Normal University, Fuyang, 236037, China

    Yan Chao

  2. Academic Affairs Office, Fuyang Normal University, Fuyang, 236000, China

    Chen Chen

Authors
  1. Yan Chao
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  2. Chen Chen
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Corresponding author

Correspondence to Yan Chao .

Editor information

Editors and Affiliations

  1. Hunan Normal University, Changsha, China

    Weina Fu

  2. Harbin University of Science and Technology, Harbin, China

    Guanglu Sun

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chao, Y., Chen, C. (2022). Image Watermark Removal Method of Classroom Teaching Recording and Broadcasting System Based on Deep Learning. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-031-21161-4_35

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  • DOI: https://doi.org/10.1007/978-3-031-21161-4_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21160-7

  • Online ISBN: 978-3-031-21161-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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