Image Forgery Detection Using Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1313-4_15
Reference11 articles.
1. Singh A, Singh J (2021) Image forgery detection using deep neural network. In: 2021 8th International conference on signal processing and integrated networks (SPIN), Noida, India, 2021, pp 504–509. https://doi.org/10.1109/SPIN52536.2021.9565953
2. Arun Anoop M, Image forgery and its detection: a survey. In: 2015 International conference on innovations in information, embedded and communication systems (ICIIECS), Coimbatore, India, 2015, pp 1–9. https://doi.org/10.1109/ICIIECS.2015.7193253
3. Barad ZJ, Goswami MM (2020) Image forgery detection using deep learning: a survey. In: 2020 6th International conference on advanced computing and communication systems (ICACCS), Coimbatore, India, 2020, pp 571–576. https://doi.org/10.1109/ICACCS48705.2020.9074408
4. Huynh TK, Huynh KV, Le-Tien T, Nguyen SC (2015) A survey on image forgery detection techniques. In: The 2015 IEEE RIVF international conference on computing & communication technologies—research, innovation, and vision for future (RIVF), Can Tho, Vietnam, 2015, pp 71–76. https://doi.org/10.1109/RIVF.2015.7049877
5. Sharma P, Kumar M, Sharma H (2023) Comprehensive analyses of image forgery detection methods from traditional to deep learning approaches: an evaluation. Multimed Tools Appl 82:18117–18150. https://doi.org/10.1007/s11042-022-13808-w
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