Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Multi-Image Matching Using Multi-Scale Oriented Patches
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficient Match-based Duplication Detection Algorithm
CRV '06 Proceedings of the The 3rd Canadian Conference on Computer and Robot Vision
Robust Detection of Region-Duplication Forgery in Digital Image
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Detecting filtered cloning in digital images
Proceedings of the 9th workshop on Multimedia & security
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Detection of Copy-Move Forgery in Digital Images Using SIFT Algorithm
PACIIA '08 Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Volume 02
An efficient and robust method for detecting copy-move forgery
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Fast copy-move forgery detection
WSEAS Transactions on Signal Processing
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of copy-rotate-move forgery using Zernike moments
IH'10 Proceedings of the 12th international conference on Information hiding
Fast Rotation-Invariant DAISY Descriptor for Image Keypoint Matching
ISM '10 Proceedings of the 2010 IEEE International Symposium on Multimedia
An improved SVD-based watermarking technique for copyright protection
Expert Systems with Applications: An International Journal
Exposing digital forgeries by detecting traces of resampling
IEEE Transactions on Signal Processing
An efficient wavelet-tree-based watermarking method
Expert Systems with Applications: An International Journal
Multiscale Fragile Watermarking Based on the Gaussian Mixture Model
IEEE Transactions on Image Processing
Hi-index | 12.05 |
Copy-move is one of the simple and effective operations to create digital image forgeries due to the gradually evolved image processing tools. In recent years, SIFT-based approach is widely applied to detect copy-move. Although these methods are proved to have robust performance in this field, when the cloned region is of uniform texture, this kind of methods normally failed to detect such forgeries due to insufficient or even none keypoints located. Thus, in this paper, an effective manner based on adaptive non-maximal suppression and rotation-invariant DAISY descriptor is proposed, and which enables the capability to detect a cloned region even undergone several geometric changes, such as rotation, scaling, JPEG compression, and Gaussian noise. Extensive experimental results are presented to confirm that the technique is effective to identify the altered area.