Copy-Move Forgeries Detection and Localization Using Two Levels of Keypoints Extraction

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.net/journal/jcc
E-mail: [email protected]

Citations

"Copy-Move Forgeries Detection and Localization Using Two Levels of Keypoints Extraction"
written by Soad Samir, Eid Emary, Khaled Elsayed, Hoda Onsi,
published by Journal of Computer and Communications, Vol.7 No.9, 2019

has been cited by the following article(s):

[1]	A survey on deep learning-based image forgery detection
	Pattern Recognition, 2023

[2]	Binary descriptors for Copy-Move Forgery Detection in Digital Photographs
	2022 6th International …, 2022

[3]	A Review on Copy-Move Image Forgery Detection Techniques
	2021

[4]	Dissecting the Literature for studying various Approaches to Copy Move Forgery Detection
	2020

[1]	Robust passive image authentication scheme based on serial companied approach Multimedia Tools and Applications, 2024 DOI:10.1007/s11042-024-20135-9

[2]	Binary descriptors for Copy-Move Forgery Detection in Digital Photographs 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), 2022 DOI:10.1109/ICCMC53470.2022.9753970

[3]	Scam Image Detection on Copy-Move by JPEG Features and Classical Block Matching with Improved Variant Journal of Innovative Image Processing, 2022 DOI:10.36548/jiip.2022.4.001

[4]	A Review on Copy-Move Image Forgery Detection Techniques Journal of Physics: Conference Series, 2021 DOI:10.1088/1742-6596/1892/1/012010