Discovering Tampered Image in Social Media Using ELA and Deep Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s42979-022-01311-w.pdf
Reference19 articles.
1. Chen J, Kang X, Liu Y, Wang ZJ. Median filtering forensics based on convolutional neural networks. IEEE Signal Process Lett. 2015;22(11):1849–53. https://doi.org/10.1109/LSP.2015.2438008.
2. Huang T, Yuan X. Detection and classification of various image operations using deep learning technology. In: International Conference on Machine Learning and Cybernetics (ICMLC). 2018. 1: 50–55. https://doi.org/10.1109/ICMLC.2018.8526999.
3. Bayar B, Stamm MC. A deep learning approach to universal image manipulation detection using a new convolutional layer. In: 4th ACM Workshop on Information Hiding and Multimedia Security 2016. p. 5–10. https://doi.org/10.1145/2909827.2930786.
4. Zhou P, Han X, Morariu VI, Davis LS. Learning rich features for image manipulation detection. In: IEEE Conference on Computer Vision and Pattern Recognition 2018. p. 1053–1061. https://doi.org/10.1109/CVPR.2018.00116.
5. Salloum R, Ren Y, Kuo CC. Image splicing localization using a multi-task fully convolutional network (MFCN). J Vis Commun Image Represent. 2018;51:201–9. https://doi.org/10.1016/j.jvcir.2018.01.010.
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