Image Forgery Detection: A Review-Reference-Cited by-同舟云学术

Image Forgery Detection: A Review

Published:2023 Issue: Volume: Page:769-777
ISSN:2367-3370
Container-title:Inventive Computation and Information Technologies
language:
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Author:

Vijayakumar Preethi,Mathew Elizabeth,Gayathry Devi M.,Monisha P. T.,Anjali C.,John Jisha

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7402-1_54

Reference15 articles.

1. Jijina MT, Koshy L, Warrier GS (2020) Detection of recoloring and copy-move forgery in digital images. In: 2020 fifth international conference on research in computational intelligence and communication networks (ICRCICN), pp 49–53. https://doi.org/10.1109/ICRCICN50933.2020.9296173

2. Alkawaz MH, Veeran MT, Bachok R (2020) Digital image forgery detection based on expectation maximization algorithm. In: 2020 16th IEEE international colloquium on signal processing & its applications (CSPA), pp 102–105. https://doi.org/10.1109/CSPA48992.2020.9068731

3. Rhee KH (2020) Detection of spliced image forensics using texture analysis of median filter residual. IEEE Access 8:103374–103384. https://doi.org/10.1109/ACCESS.2020.2999308

4. Purvisha P, Kumar D (2019) Smart healthcare forgery detection using deep learning. https://ijariie.com/Smart_Healthcare_Forgery_Detection_Using_Deep_Learning_ijariie10489. Accessed 9 Apr 2022

5. Ahmed IT, Hammad BT, Jamil N (2021) Image copy-move forgery detection algorithms based on spatial feature domain. In: 2021 IEEE 17th international colloquium on signal processing & its applications (CSPA), pp 92–96. https://doi.org/10.1109/CSPA52141.2021.9377272

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