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Resampling detection of recompressed images via dual-stream convolutional neural network

  • Published:2019 Issue:5 Volume:16 Page:5022-5040
  • ISSN:1551-0018
  • Container-title:Mathematical Biosciences and Engineering
  • language:en
  • Short-container-title:

Author:

Cao Gang, ,Zhou Antao,Huang Xianglin,Song Gege,Yang Lifang,Zhu Yonggui, ,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

Reference6 articles.

1. M. Stamm, M. Wu and K. J. Liu, Information

2. M. Huh, A. Liu, A. Owens, et al., Fighting fake

3. T. Qiao, R. Shi, X. Luo, et al., Statistical model-based detector via texture weight

4. G. Cao, Y. Zhao and R. Ni, Forensic identification of resampling

5. Z. Chen, Y. Zhao and R. Ni, Detection of operation

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1. Image splicing manipulation location by multi-scale dual-channel supervision;Multimedia Tools and Applications;2023-09-19

2. Digital Image Tampering Detection Using Deep Learning: A Survey;Lecture Notes in Electrical Engineering;2023

3. Image Resampling Forensics: A Review on Techniques for Image Authentication;Springer Proceedings in Mathematics & Statistics;2023

4. Forensics Analysis of Resampling via ConvNeXt Block;Journal of Circuits, Systems and Computers;2022-09-09

5. Hierarchical RNNs-Based transformers MADDPG for mixed cooperative-competitive environments;Journal of Intelligent & Fuzzy Systems;2022-06-01
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