Author:
Hayder Muqdad Abdulraheem,Alhaidery Manaf Mohammed Ali
Publisher
Springer Science and Business Media LLC
Reference41 articles.
1. N. Bakiah, A. Warif, M. Yamani, I. Idris, A. Wahid, and A. Wahab, A comprehensive evaluation procedure for copy-move forgery detection methods : results from a systematic review. Multimedia Tools and Applications, 2022.
2. Z. Zhang, C. Wang, and X. Zhou, “A Survey on Passive Image Copy-Move Forgery Detection,” vol. 14, no. 1, pp. 6–31, 2018.
3. S. Sadeghi, S. Dadkhah, H. A. Jalab, G. Mazzola, and D. Uliyan, “State of the art in passive digital image forgery detection : copy ‑ move image forgery,” Pattern Anal. Appl., no. 0123456789, 2017, https://doi.org/10.1007/s10044-017-0678-8.
4. Bakiah N et al (2016) Journal of Network and Computer Applications Copy-move forgery detection : Survey, challenges and future directions. J Netw Comput Appl 75:260–263. https://doi.org/10.1016/j.jnca.2016.09.008
5. R. Dixit and R. Naskar, “Region duplication detection in digital images based on Centroid Linkage Clustering of key – points and graph similarity matching,” 2018.