Convolutional block attention based network for copy-move image forgery detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15649-7.pdf
Reference41 articles.
1. Abdalla Y, Iqbal MT, Shehata M (2019) Convolutional Neural Network for Copy-Move Forgery Detection. Symmetry 11(10):1280. https://doi.org/10.3390/sym11101280
2. Agarwal R, Verma OP (2020) An efficient copy-move forgery detection using deep learning feature extraction and matching algorithm. Multimed Tools Appl. 79:7355–7376. https://doi.org/10.1007/s11042-019-08495-z
3. Ardizzone E, Bruno A, Mazzola G (2015) Copy–move forgery detection by matching triangles of keypoints. IEEE Trans Inform Foren Secur 10(10):2084–2094. https://doi.org/10.1109/TIFS.2015.2445742
4. Bappy JH, Simons C, Nataraj L, Manjunath BS, Roy-Chowdhury AK (2019) Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries. IEEE Trans Image Process. 28(7):3286–3300. https://doi.org/10.1109/TIP.2019.2895466
5. Bi X, Wei Y, Xiao B (2019) RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1-10. doi: https://doi.org/10.1109/CVPRW.2019.00010.
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