Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference43 articles.
1. Bi, X., Zhang, Z., & Xiao, B. (2021). Reality transform adversarial generators for image splicing forgery detection and localization. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 14294–14303).
2. Detection of nonaligned double JPEG compression based on integer periodicity maps;Bianchi;IEEE Transactions on Information Forensics and Security,2011
3. Image forgery localization via block-grained analysis of JPEG artifacts;Bianchi;IEEE Transactions on Information Forensics and Security,2012
4. Image splicing forgery detection using simplified generalized noise model;Chen;Signal Processing: Image Communication,2022
5. Cozzolino, D., Poggi, G., & Verdoliva, L. (2015). Splicebuster: A new blind image splicing detector. In 2015 IEEE international workshop on information forensics and security (pp. 1–6).