Faster R-CNN image splicing tampering detection based on multilayer feature refinement fusion

Author:

Wei Weiyi1ORCID,Zhang Futong1ORCID,Chen Guo1ORCID,Lei Huanhuan1ORCID

Affiliation:

1. College of Computer Science and Engineering, Northwest Normal University, China

Publisher

ACM

Reference20 articles.

1. A Comprehensive Survey on Computer Forensics: State-of-the-Art, Tools, Techniques, Challenges, and Future Directions

2. Gardella M, Musé P, Morel J M, Noisesniffer: a fully automatic image forgery detector based on noise analysis[C]//2021 IEEE International Workshop on Biometrics and Forensics (IWBF). IEEE, 2021: 1-6.

3. generalizing face forgery detection based on texture information and adaptive noise mining[J];Zhao Y;Applied Intelligence

4. Unveiling digital image forgeries using Markov based quaternions in frequency domain and fusion of machine learning algorithms

5. Image splicing detection using illuminant color inconsistency[C]//2011 Third International Conference on Multimedia Information Networking and Security;Wu X;IEEE

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