Passive Image Forgery Detection Based on the Demosaicing Algorithm and JPEG Compression-Reference-Cited by-同舟云学术

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Passive Image Forgery Detection Based on the Demosaicing Algorithm and JPEG Compression

Published:2020 Issue: Volume:8 Page:11815-11823
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Armas Vega Esteban Alejandro^ORCID,Gonzalez Fernandez Edgar^ORCID,Sandoval Orozco Ana Lucila^ORCID,Garcia Villalba Luis Javier^ORCID

Funder

European Union’s Horizon 2020 Research and Innovation Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/08950395.pdf?arnumber=8950395

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An efficient digital image forgery detection using Pelican search optimisation-based DCNN;Journal of Experimental & Theoretical Artificial Intelligence;2024-07-28

2. Image splicing forgery detection: A review;Multimedia Tools and Applications;2024-03-16

3. An Extensive Approach for Inter-Frames Video Forgery Detection;Lecture Notes in Electrical Engineering;2024

4. Image Forensics of Compressed Image on Social Media with Lightweight Deep Learning;2023 24th International Arab Conference on Information Technology (ACIT);2023-12-06

5. Visualizing the truth: a survey of multimedia forensic analysis;Multimedia Tools and Applications;2023-10-31

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