The Advent of Deep Learning-Based Image Forgery Detection Techniques-Reference-Cited by-同舟云学术

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The Advent of Deep Learning-Based Image Forgery Detection Techniques

Published:2021 Issue: Volume: Page:679-693
ISSN:2367-4512
Container-title:Innovative Data Communication Technologies and Application
language:
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Author:

Agarwal R.,Verma O. P.,Saini A.,Shaw A.,Patel R.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-9651-3_56

Reference27 articles.

1. Kashyap A, Parmar RS, Agarwal M, Gupta H (2017) An evaluation of digital image forgery detection approaches. Int J Appl Eng Res 12(15):4747–4758

2. Su L, Li C, Lai Y, Yang J (2018) A fast forgery detection algorithm based on exponential-Fourier moments for video region duplication. IEEE Trans Multimed 20(4):825–840. https://doi.org/10.1109/TMM.2017.2760098

3. Kaur T, Girdhar A, Gupta G (2018) A robust algorithm for the detection of cloning forgery. In: 2018 IEEE international conference on computational intelligence and computing research, pp 1–6

4. Mayer O, Stamm MC (2018) Accurate and efficient image forgery detection using lateral chromatic aberration. IEEE Trans Inf Forensics Secur 13(7):1762–1777. https://doi.org/10.1109/TIFS.2018.2799421

5. Jaafar RH, Rasool ZH, Alasadi AHH (2019) New copy-move forgery detection algorithm. In: Proceedings of 2019 International Russian Automation Conference RusAutoCon 2019, pp 1–5, 2019, doi: https://doi.org/10.1109/RUSAUTOCON.2019.8867813

Cited by 5 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. Enhancing Digital Image Forgery Detection Using Transfer Learning;IEEE Access;2023

2. A Thorough Investigation on Image Forgery Detection;Computer Modeling in Engineering & Sciences;2023

3. Image Forgery Detection Using Deep Learning Framework;2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE);2022-09-23

4. Binary descriptors for Copy-Move Forgery Detection in Digital Photographs;2022 6th International Conference on Computing Methodologies and Communication (ICCMC);2022-03-29

5. Large Feature Mining With Ensemble Learning for Image Forgery Detection;Technologies to Advance Automation in Forensic Science and Criminal Investigation;2022

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