Image forgery detection by transforming local descriptors into deep-derived features

Author:

Anwar Muhammad AqibORCID,Tahir Syed Fahad,Fahad Labiba Gillani,Kifayat Kashif

Publisher

Elsevier BV

Subject

Software

Reference69 articles.

1. P. Zhou, X. Han, V.I. Morariu, L.S. Davis, Learning rich features for image manipulation detection, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 1053–1061.

2. Copy-move forgery detection based on patchmatch;Cozzolino,2014

3. Camera-based image forgery localization using convolutional neural networks;Cozzolino,2018

4. D. Cozzolino, G. Poggi, L. Verdoliva, Extracting camera-based fingerprints for video forensics, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019, pp. 130–137.

5. Deep learning for deepfakes creation and detection: A survey;Nguyen;Comput. Vis. Image Underst.,2022

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