End‐to‐end double JPEG detection with a 3D convolutional network in the DCT domain
Author:
Affiliation:
1. School of ComputingKorea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2019.2719
Reference5 articles.
1. Double JPEG compression forensics based on a convolutional neural network
2. Aligned and non-aligned double JPEG detection using convolutional neural networks
3. Deep Residual Network for Steganalysis of Digital Images
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