A Survey of Passive Image Tampering Detection
IWDW '09 Proceedings of the 8th International Workshop on Digital Watermarking
A bibliography on blind methods for identifying image forgery
Image Communication
Anti-forensics of contrast enhancement in digital images
Proceedings of the 12th ACM workshop on Multimedia and security
Blind and passive digital video tamper detection based on multimodal fusion
ICCOM'10 Proceedings of the 14th WSEAS international conference on Communications
Revealing real quality of double compressed MP3 audio
Proceedings of the international conference on Multimedia
Duplication localization and segmentation
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Region duplication detection using image feature matching
IEEE Transactions on Information Forensics and Security
Detection of copy-rotate-move forgery using Zernike moments
IH'10 Proceedings of the 12th international conference on Information hiding
Scene illumination as an indicator of image manipulation
IH'10 Proceedings of the 12th international conference on Information hiding
Digital image forensics: a booklet for beginners
Multimedia Tools and Applications
Blind image tamper detection based on multimodal fusion
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Detection of image region-duplication with rotation and scaling tolerance
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
Detection of copy-move forgery using multiresolution characteristic of discrete wavelet transform
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Robust copy-move image forgery detection using undecimated wavelets and Zernike moments
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
A non-intrusive method for copy-move forgery detection
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
MiFor '11 Proceedings of the 3rd international ACM workshop on Multimedia in forensics and intelligence
Shift recompression-based feature mining for detecting content-aware scaled forgery in JPEG images
Proceedings of the Twelfth International Workshop on Multimedia Data Mining
Alternative anti-forensics method for contrast enhancement
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
Duplication forgery detection using improved DAISY descriptor
Expert Systems with Applications: An International Journal
Region duplication detection based on Harris corner points and step sector statistics
Journal of Visual Communication and Image Representation
Moment feature based forensic detection of resampled digital images
Proceedings of the 21st ACM international conference on Multimedia
On the reliability of forensic schemes using resampling for image copy-move forgery
International Journal of Electronic Security and Digital Forensics
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Copy-move forgery is a specific type of image tampering, where a part of the image is copied and pasted on another part of the same image. In this paper, we propose a new approach for detecting copy-move forgery in digital images, which is considerably more robust to lossy compression, scaling and rotation type of manipulations. Also, to improve the computational complexity in detecting the duplicated image regions, we propose to use the notion of counting bloom filters as an alternative to lexicographic sorting, which is a common component of most of the proposed copy-move forgery detection schemes. Our experimental results show that the proposed features can detect duplicated region in the images very accurately, even when the copied region was undergone severe image manipulations. In addition, it is observed that use of counting bloom filters offers a considerable improvement in time efficiency at the expense of a slight reduction in the robustness.