Adaptive content suppression based on shared‐hidden‐layer convolutional autoencoder for blind image forensics-Reference-Cited by-同舟云学术

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Adaptive content suppression based on shared‐hidden‐layer convolutional autoencoder for blind image forensics

Published:2022-08-14 Issue:26 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Rahmati Mohammad¹,Razzazi Farbod²^ORCID,Behrad Alireza³

Affiliation:

1. Department of Electrical and Computer Engineering, Zahedshahr Branch Islamic Azad University Zahedshahr Iran

2. Department of Electrical and Computer Engineering, Science and Research Branch Islamic Azad University Tehran Iran

3. Electrical Engineering Department Shahed University Tehran Iran

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7278

Reference47 articles.

1. Handbook of Digital Forensics of Multimedia Data and Devices

2. An Overview on Image Forensics

3. LiB LuoH ZhangH TanS JiZ.A multi‐branch convolutional neural network for detecting double JPEG compression. arXiv Preprint arXiv:1710.05477;2017.

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