Image processing operations identification via convolutional neural network | Science China Information Sciences Skip to main content
Log in

Image processing operations identification via convolutional neural network

  • Letter
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

References

  1. Li H D, Luo W Q, Qiu X Q, et al. Identification of various image operations using residual-based features. IEEE Trans Circuits Syst Video Technol, 2018, 28: 31–45

    Article  Google Scholar 

  2. Chen J S, Kang X G, Liu Y, et al. Median filtering forensics based on convolutional neural networks. IEEE Signal Process Lett, 2015, 22: 1849–1853

    Article  Google Scholar 

  3. Bayar B, Stamm M C. A deep learning approach to universal image manipulation detection using a new convolutional layer. In: Proceedings of ACM Workshop on Information Hiding and Multimedia Security, Vigo, 2016. 5–10

    Google Scholar 

  4. Xu G S, Wu H Z, Shi Y Q. Structural design of convolutional neural networks for steganalysis. IEEE Signal Process Lett, 2016, 23: 708–712

    Article  Google Scholar 

  5. Bas P, Filler T, Pevný T. “Break our steganographic system”: the ins and outs of organizing BOSS. Inf Hiding, 2011, 6958: 59–70

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61672551, 61602318), Special Research Plan of Guangdong Province (Grant No. 2015TQ01X365), Guangzhou Science and Technology Plan Project (Grant No. 201707010167), Shenzhen R&D Program (Grant No. JCYJ20160328144421330), and Alibaba Group through Alibaba Innovative Research Program.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Weiqi Luo.

Supplementary File

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, B., Li, H., Luo, W. et al. Image processing operations identification via convolutional neural network. Sci. China Inf. Sci. 63, 139109 (2020). https://doi.org/10.1007/s11432-018-9492-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-018-9492-6

Navigation