Robust Copy-Move Forgery Detection Technique Against Image Degradation and Geometric Distortion Attacks
- 14 July 2023
- journal article
- research article
- Published by Springer Nature in Wireless Personal Communications
- Vol. 131 (4) , 2919-2947
Abstract
No abstract availableKeywords
Funding Information
- Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (119E045)
This publication has 34 references indexed in Scilit:
- Efficient Dense-Field Copy–Move Forgery DetectionIEEE Transactions on Information Forensics and Security, 2015
- Going deeper into copy-move forgery detection: Exploring image telltales via multi-scale analysis and voting processesJournal of Visual Communication and Image Representation, 2015
- Image Forgery Detection Using Adaptive Oversegmentation and Feature Point MatchingIEEE Transactions on Information Forensics and Security, 2015
- Copy-move forgery detection based on scaled ORBMultimedia Tools and Applications, 2015
- Segmentation-Based Image Copy-Move Forgery Detection SchemeIEEE Transactions on Information Forensics and Security, 2014
- KAZE Features2012
- A Non-intrusive Method for Copy-Move Forgery Detection2011
- Speeded-Up Robust Features (SURF)Computer Vision and Image Understanding, 2008
- Scale & Affine Invariant Interest Point DetectorsInternational Journal of Computer Vision, 2004
- Random sample consensusCommunications of the ACM, 1981