Two-Stage Model for Copy-Move Forgery Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8493-8_62
Reference17 articles.
1. Bansal A, Atri A (2020) Study of copy-move forgery detection techniques in images. In: 2020 8th International conference on reliability, infocom technologies and optimization (trends and future directions) (ICRITO) (2020), pp 630–635. https://doi.org/10.1109/ICRITO48877.2020.9197801
2. Prayla Shyry S, Meka S, Moganti M (2019) Digital image forgery detection. Int J Recent Technol Eng (IJRTE) 8(2S3). ISSN: 2277-3878. https://doi.org/10.35940/ijrte.B1121.0782S319
3. Abidin ABZ, Majid HBA, Samah ABA, Hashim HB (2019) Copy-Move image forgery detection using deep learning methods: a review. In: 2019 6th International conference on research and innovation in information systems (ICRIIS) (2019), pp 1–6. https://doi.org/10.1109/ICRIIS48246.2019.9073569
4. Birajdar GK, Mankar VH (2013) Digital image forgery detection using passive techniques: a survey. Digital Invest 10(3):226–245. ISSN 1742-2876. https://doi.org/10.1016/j.diin.2013.04.007
5. Shwetha B, Sathyanarayana SV (2017) Digital image forgery detection techniques: a survey. Accents Trans Inf Secur 2(5). ISSN (Online): 2455–7196. http://dx.doi.org/https://doi.org/10.19101/TIS.2017.25003
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